. eu/energy/technology/set plan/set plan en. htm 36 http://www. gridplus. eu 37 http://www. eera--set. eu/index. php?
e g. controlling demand response at the 58 See also http://www. europeanenergyreview. eu/site/pagina. php?
In this context, European regions carried out a process of definition of these strategies that ended recently with the beginning of the new programming period.
2. 2. Smart Specialisation and RIS3 Smart specialisation has been established as one of the conditions for accessing the ERDF in this programming period 2014-2020 in the shape of RIS3 (EC 2013 and EC 2011.
1593-0319 43 Technopolis (2006) Strategic Evaluation on Innovation and the knowledge based economy in relation to the Structural and Cohesion Funds, for the programming period 2007-2013.
Smart cities) and ERRIN. http://www. redaragon7pm. eu/index. php 5 Economic and social players Aragón does not differ much from other spanish regions as regards the representation
and resources towards those patterns This reflection has had significant implications for European union science and technology policy for the 2014-2020 programming period.
New programming period for the 2014-2020 Structural Funds and new European community positions in order to carry out R&d policy regional instrumentation change
New programming period 2014--2020 (cohesion funds, Horizon 2020, etc.:synergies and complementarities of funds and integration of policies and instruments.
http://www. weforum. org/content/global-agenda-council-social-innovation-2013 6 http://www. eiseverywhere. com/ehome/index. php?
The societal challenge perspective will also be an important feature of Cohesion Policy in the 2014-2020 programming period.
http://www. tepsie. eu/index. php/publications. Last accessed 16.12.13 Bruno, N.,Miedzinski, M. Reid, A. and Yanz, M. R. 2008) Sociocultural determinants of Eco Innovation.
http://www. tepsie. eu/index. php/publications Last accessed 15.12.13 Davies, A, Simon, J, Patrick, R and Norman, W. 2012)‘ Mapping citizen engagement
http://www. tepsie. eu/index. php/publications Last accessed 15.12.13 De Jong, J. P. J, Kalvet,
http://www. eurada. org/index. php? option=com content&view=article&id=184&itemid=202 &lang=en Last accessed 1812.13 Eurobarometer (2012) Active Ageing (2012.
http://www. tepsie. eu/index. php/publications Last accessed 15.12.13 Mitchell, W. J.,Inouye and Blumenthal, M. S. eds)( 2003) Beyond Productivity:
Creation Support to New Innovative Enterprises In the 2000-07 programming period the General Secretariat for Research and Technology of the Ministry of Development launched programmes such as ELEFTHO (business incubators
the second type is built from a statistical algorithm for analysis of spatial agglomeration named LISA (i e.
The study can be downloaded at www. socialeconomy. eu. org/spip. php? article420. In the United states, the Johns Hopkins Nonprofit Economic Data Project (NED) is generating information on the dynamics of the nonprofit sector by analysing diverse datasets on nonprofit organisations,
The website of the project (www. ccss. jhu. edu/index. php? section=content&view=9&sub=10 accessed on 28 october 2009) reports that:
Retrieved 10.06.2013 from http://fundacaocafu. org. br/novo/index. php? n=1. 4. Fundação Gol de Letra.
Digital Cities, Lecture Notes in Computer science 2362, Springer-verlag Berlin Heidelberg, 101-109. Granovetter, M.,(1976.
Experiences, Technologies and Future Perspectives Lecture Notes in Computer science, 1765, Springer-verlag. Kavassalis, P.,Lelis, S.,Rafea, M. & Haridi, S. 2004.
Dr. Yu received his Phd in Computer science and Engineering from University of louisville. His research interests are in the fields of data/text mining, business process simulation, software agent applications,
Prashanth Kannan conducted research in the area of Social networking/Digital Cities and business innovations and received his MS degree in Computer sciences from University of missouri at Rolla.
and A m. S. in Computer science from Fairleigh Dickinson University. He has published various articles in academic book chapters, journals,
Tim Klaus is an Assistant professor of Management Information systems at Texas A&m University Corpus christi. He earned his Phd (Management Information systems) from University of South Florida and his MBA (Finance) and MS (Computer science) from Illinois State university.
Sectoral programming, by its nature, will not allow for a meaningful evaluation of the achievement of balanced regional development.
unambiguous designation of the NUTS III Regions as the practical level for spatial programming in the new RDP.
For example, it shows that the Department of computer science at the University of Sheffield is to establish a Computer science Ambassador Scheme for 45 secondary school pupils
which will deliver short‘hands on'courses in core computer science for pupils aged 14-15,
and students to engage with computer science in a fun way. Schaart said that the Commission has promoted rightly digitalisation and its adoption by society as one of the most important sources for growth and employment.
No image problem Higgins said that employers face a big challenge in communicating what sort of exciting job opportunities the industry is providing, especially since fewer people study computer science.
Big data is a goldmine for companies Computer algorithms are better at diagnosing severe cancer than humans,
That's done by placing different algorithms onto these large amounts of data. Let me give you an example.
Google ran all the terms through an algorithm a way of making a calculation-that ranked the terms by how well they correlated with flu outbreaks.
It's a demonstrable fact that a computer algorithm is better at diagnosing severe cancer than a human.
and computation applications supported the birth of the minicomputer industry. These two developments provided the key trajectories for the birth of the personal computer.
and Lorin Hitt, Beyond Computation: Information technology, Organizational Transformation and Business Performance, MIT Sloan School of management Working Paper, September 1998.25 Brynolfsson, Erik and S. Yang, The Intangible Costs and Benefits of Computer Investments:
http://epp. eurostat. ec. europa. eu/statistics explained/index. php/Foreign direct investment statistics. 70 The 2013 EU Industrial R&d Scoreboard The two top investing countries
Lecture Notes in Computer science 6656 Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis,
235 A Use-Case on Testing Adaptive Admission Control and Resource Allocation Algorithms on the Federated Environment of Panlab...
as a ubiquitous and universal means for communication and computation, has been extraordinarily successful, there are still many unsolved problems and challenges some
Unification and higher degree of integration of the communication, storage, content and computation as the means of enabling change from capacity concerns towards increased and flexible capability with operation control.
The Towards In-Network Clouds in Future Internet chapter explores the architectural co-existence of new and legacy services and networks, via virtualisation of connectivity and computation resources and self management capabilities,
which take advantage of flexible sharing of available connectivity, computation, and storage resources. This paper aims to explore the architectural co-existence of new and legacy services and networks, via virtualisation of connectivity and computation resources and self management capabilities,
by fully integrating networking with cloud computing in order to create In-Network Clouds. It also presents the designs and experiments with a number of In-Network Clouds platforms
which take advantage of flexible sharing of available resources (e g. connectivity, computation, and storage resources). This paper aims to explore the architectural co-existence of new and legacy services and networks, via virtualisation of resources and self management capabilities,
Together these distributed systems form a software-driven network control infrastructure that will run on top of all current networks (i e. fixed
These components could have direct interworking with control algorithms situated in the control plane of the Internet
which virtual machines can be relocated dynamically to any physical node or server regardless of location, network,
the vspi and the vcpi (Virtualisation System Programming interface and Virtualisation Component Programming interface, respectively. A set of control loops is formed using the vspi and the vcpi,
Virtualisation Component Programming interface (vcpi. Each physical resource has associated an and distinct vcpi. The vcpi is fulfilling two main functions:
Full design and implementation of all software platforms are presented in 10. vcpi (Virtual Component Programming interface is the VP's main component dealing with the heterogeneity of virtual resources
and validated on 2 testbeds enabling experimentation with thousands of virtual machines: V3 UCL's Experimental Testbed located in London consisting of 80 cores with a dedicated 10 Gbits/s infrastructure
which were described with the help of five abstractions and distributed systems the OSKMV planes: Virtualisation Plane (VP), Management Plane (MP), Knowledge Plane (KP), Service Plane (SP) and Orchestration Plane (OP). The resulting software-driven control network
the algorithms supporting dynamic mobility could also be distributed. Such integration is accomplished in 44 45 where authors introduce
computation's and storage's networks and services has been a clear trend in the Information and Communications technology (ICT) domain.
interrelation and unification of the communication, storage, content and computation substrata. Networking-awareness 4 challenges imply the consumer-facing
These designs about architecture for the federated reference model by functional blocks addresses the specification of mechanisms including models, algorithms, processes, methodologies and architectures.
Algorithms and processes to allow federation in enterprise application systems to visualize software components, functionality and performance.
Algorithms and processes to allow federated application management systems reconfigure or redeploy software components realizing autonomic application functionality.
and discovery (where a spatiotemporal extension of SPARQL stsparql-,is used to discover data sources from the Semsorgrid4env registry),
data access and query (where ontology-based and non-ontology-based query languages are provided to access data:
SPARQL-Stream and SNEEQL a declarative continuous query language over acquisition sensor networks, continuous streaming data,
and data integration (where the ontology-based SPARQL-Stream language is used to integrate data from heterogeneous and multimodal data sources).
or federated (peered) resource directory as a rendezvous point that stores resource descriptions SPARQL based query interface,
which forces to keep algorithms and procedures, laying at different layers, independent one another. In addition, even in the framework of a given layer, algorithms and procedures dealing with different tasks are designed often independently one another.
These issues greatly simplify the overall design of the telecommunication networks and greatly reduce processing capabilities,
Nevertheless, a major limitation of this approach derives from the fact that algorithms and procedures are poorly coordinated one another,
The issues above claim for a stronger coordination between algorithms and procedures dealing with different tasks.
most of the algorithms and procedures embedded in the telecommunication networks are open-loop, i e. they are based on off-line"reasonable"estimation of network variables (e g. offered traffic), rather than on real-time measurements of such variables.
This claims for an evolution towards closed-loop algorithms and procedures which are able to properly exploit appropriate real-time network measurements.
and hence embedding technology-dependent algorithms and procedures, as well as from the large variety of heterogeneous Actors who are playing in the ICT arena.
this framework, on the one hand, is expected to embed algorithms and procedures which, leaving out of consideration the specificity of the various networks,
which serve as Cognitive Enabler input, coupled with a proper design of Cognitive Enabler algorithms (e g.,
, multiobjective advanced control and optimization algorithms), lead to cross-layer and cross-network optimization. The Cognitive Framework can exploit one or more of the Cognitive Enablers in a dynamic fashion:
In particular, the concentration of control functionalities in a single framework allows the adoption of algorithms
The concentration of the control functionalities in such Cognitive Enablers allows the adoption of multi-object algorithms and procedures
for the algorithms and rules embedded in the Cognitive Enablers, which are expected to remarkably improve efficiency.
trading-off the advantages achieved in terms of efficiency with the entailed additional SW/HW/computation complexity.
it has been implemented to perform technology independent resource management algorithms (e g.,, layer 2 path selection), in order to guarantee that flow's Qos requirements are satisfied during the transmission of its packets over the network.
In particular, a Connection Admission Control algorithm, a Path selection algorithm and a Load Balancing algorithm has been considered in our tests.
453 MHZ Broadcom Processor with 8 MB Flash memory and 64 MB RAM; a WAN port and four LAN up to 1 Gigabit/s) and cross-compiled the code,
the algorithms the Cognitive Enabler will be based on, have all to be selected carefully case by case;
and Semantic web languages (RDF, RDFS, DAML+OIL, OWL SPARQL, GRDDL, RDFA, SHOE AND SKOS), among others 13.
The following OWL sample code shows one use case example for distributed programming, where the application entity with title Master-USP-1 sends its needs to the Service Layer.
comment>Example of the Entity Title Model to support distributed programming needs.</</rdfs: comment><Has need rdf:
Thing>By this semantic information, the Service and Data link layers can support the distributed programming communication using different approaches,
27th Brazilian Symposium on Computer networks and Distributed systems-SBRC (2009) 23 Pereira, J. H. S.,Kofuji, S. T.,Rosa, P. F.:
Distributed systems Ontology. In: IEEE/IFIP New Technologies, Mobility and Security Conference (2009) 24 Pereira, J. H. S.,Kofuji, S. T.,Rosa, P. F.:
Network Headers Optimization for Distributed Programming. In: 9th International Information and Telecommunication Technologies Symposium (2010) 26 Pereira, J. H. S.,Kofuji, S. T.,Rosa, P. F.:
26th IEEE International Conference on Distributed computing Systems, Montreal, Canada (June 2006) Assessment of Economic Management of Overlay Traffic:
Stability of end-to-end algorithms for joint routing and rate control. Computer Communication Review 35,2 (2005) 20.
and a novel con 156 C. Kalogiros et al. gestion control algorithm that gives the right incentives to users of bandwidth intensive applications.
16th Annual Symposium on Theoretical Aspects of Computer science 1999, pp. 404 413 (1999) 13. MOBITHIN project:
while executing them on shared physical storage and computation resources. The concept of Platform-as-a-service provides joint development and execution environments for software and services,
The authors propose security support in programming and execution environments for services, and suggest using rigorous models through all phases of the SDLC, from requirements engineering to model-based penetration testing.
routing algorithm, reachability, and Qos for the publication and may support transport abstraction specific policies such as replication and persistence for data-centric communication.
from requirements over architecture and design to the composition and/or programming of working solutions.
both from a general perspective and from a security perspective for security-critical software systems. 4 Security Support in Programming Environments Security Support in Programming Environments is not new;
and (3) a broad range of programming technologies will be used to develop the actual software and systems.
The search for security support in programming environments has to take this context in account.
Supporting security requirements in the programming code level requires a comprehensive approach. The service creation means must be improved
as well as programming new services from scratch using a state-of-the-art programming language. The service creation context will typically aim for techniques
Secure Service Programming Many security vulnerabilities arise from programming errors that allow an exploit. Future Internet will further reinforce the prominence of highly distributed and concurrent applications,
Lock-free wait-free algorithms for common software abstractions (queues, bags, etc. are one of the most effective approaches to exploit multi-core parallelism.
These algorithms are hard to design and prove correct, error-prone to program, and challenging to debug.
Adherence to Programming Principles and Best-Practices. Programming support must include methods to ensure the adherence of a particular program to well-known programming principles or best-practices in secure software development.
Emphasis will be put on language extensions that guarantee adherence to best-practices and verified design patterns that can be used during development.
Obviously the security support in programming environments that must be delivered will be essential to incept a transverse methodology that enables to manage assurance throughout the software and service development life cycle (SDLC.
Security policies can be implemented correctly by construction through a rigorous secure programming discipline. Internet applications can be validated through testing.
Complementing activities are related to secure programming. This strand addresses a comprehensive solution for program verification,
run-time verification must complement programming-level verification and testing in order to provide the final assurance that the latter cannot deliver,
secure programming as well as assurance and the relation to each of these ingredients must be investigated. During security requirements engineering risk analysis facilitates the identification of relevant requirements.
Proceedings of the 22nd Annual Symposium on Foundations of Computer science, WASHINGTON DC, USA, pp. 350 357.
Irm enforcement of java stack inspection. In: Proceedings of the 2000 IEEE Symposium on Security and Privacy, WASHINGTON DC, USA, pp. 246 255.
A programming model for concurrent object-oriented programs. ACM Trans. Program. Lang. Syst. 31,1 1 (2008), doi:
Computer science Review 4 (2), 81 99 (2010) 19. Le Guernic, G.,Banerjee, A.,Jensen, T.,Schmidt, D. A.:
they are no longer the result of programming components in the traditional meaning but are built by composing services that are distributed over the network
Towards Formal Validation of Trust and Security in the Internet of Services 195 Second, SOAS are also distributed systems,
This allows for the use of classical automated first-order reasoning techniques, in particular resolution or fixed-point computations of static analysis. Thanks to the over-approximation,
Though the use of FM would promote a more secure development environment, a variety of practical and cultural reasons lead the industrial world to perceive FM approaches as being expensive in terms of time
and (iii) the differences between formal languages and models and those used in industrial design and development environments (e g.,
, BPMN, Java, ABAP. The problem is how to make new, efficient methodologies and technologies accessible and readily exploitable, benefitting industry designers and developers.
and migrated to the selected development environments. A concrete example is the industry migration of the AVANTSSAR Platform to the SAP environment.
Journal of Logic and Algebraic Programming 70 (1), 96 118 (2007) 20. Marconi, A.,Pistore, M.:
Proceedings of the 18th IEEE Symposium on Foundations of Computer science, pp. 46 57. IEEE Computer Society Press, Los Alamitos (1977) 26.
and networks are understood well and technologies such as virtual machines, vlans, or SANS provide isolation. Sharing resources such as operating systems, middleware,
While an enterprise customer may own a virtual machine (Machine-level isolation), this machine may use a database server (Middleware isolation)
, trusted computing 21 or computations on outsourced data 20. Trustworthy Clouds Underpinning the Future Internet 215 3. 3 Failures of the Cloud Management Systems Due to the highly automated nature of the cloud management systems
Cryptographers have designed schemes such as homomorphic encryption 9 that allow verifiable computation on encrypted data. However, the proposed schemes are too inefficient
Proceedings of the 2010 IEEE 30th International Conference on Distributed computing Systems Workshops, WASHINGTON DC, USA. ICDCSW'10, pp. 77 81.
outsourcing computation without outsourcing control. In: ACM Workshop on Cloud computing Security (CCSW'09), pp. 85 90.
Proceedings of the 4th International Workshop on Large scale Distributed systems and Middleware, Z urich, Switzerland. LADIS'10, pp. 12 17.
Token-Based Cloud computing Secure Outsourcing of Data and Arbitrary Computations with Lower Latency. In: Acquisti, A.,Smith, S.,Sadeghi, A r. eds.
IEEE International Workshop on Policies for Distributed systems and Networks, pp. 22 29 (2010) 5. Karjoth, G.,Schunter, M.,Waidner, M.:
extensible access control markup language (xacml) version 3. 0, extensible access control markup language (xacml) version 3. 0, oasis (August 2008) 9. Shostack, A.,Syverson, P.:
and Resource Allocation Algorithms on the Federated Environment of Panlab reports on experiments needing to directly interact with the environment during runtime,
The Author (s). This article is published with open access at Springerlink. com. A Use-Case on Testing Adaptive Admission Control and Resource Allocation Algorithms on the Federated Environment of Panlab Christos
This paper presents a use case where an adaptive resource allocation algorithm was tested utilizing Panlab's infrastructure.
i) to run the experiment by moving a designed algorithm from a simulating environment to near production besteffort environment
A Use-Case on Testing Adaptive Admission Control 239 2 Use Case Description In order for one to test an adaptive admission control and resource allocation algorithm,
and resource usage in virtual machines. Fig. 1. The setup for testing the algorithm The adaptive admission control
and resource allocation algorithm is applied to succeed in specific target of network metrics, like round trip time and throughput.
This will be done by deploying a proxy-like control component for admission control and using Xen server technology to regulate CPU usage.
During this scenario the adaptive admission control and resource allocation algorithm is tested against network metrics, like round trip time and throughput.
During the setup, the researcher wants to test http proxy software written in C programming language that implements an admission algorithm.
The algorithm, which is located at the proxy unit, needs to monitor the CPU usage of the Web application and Database machines.
Then the algorithm should be able to set new CPU capacity limits on both resources.
Additionally the algorithm should be able to start and stop the work load generators on demand. 3 Technical Environment, Testbed Implementation and Deployment From the requirements of the use case,
and monitor resources within the C algorithm. So the resources need to provide monitoring and provisioning mechanisms.
-Linux machines for the RUBIS based work load generators-A Linux machine for the hosting the algorithm unit,
capable of compiling C and Java software-Linux machines for running XEN server where on top will run the RUBIS Web app
and database The final user needs to provide the algorithm under test. He will just login to the Proxy Unit,
all the components are managed based on Virtual machines by a XEN server. The implemented RAS instantiate all these Virtual machines and configure the internal components according to end-user needs.
The work load generator exposes parameters such as: used IP for the testbed, memory, hard disk size, number of clients, ramp up time for the requests and a parameter used during the execution of the experiment called Action
RADL's textual syntax aims to be easier to describe a RA than code in Java or other target language.
For example the RUBIS clients need to know about the IP of the proxy which hosts the algorithm.
Fig. 5. Designing the algorithm to operate resources during execution In our testing scenario there is a need to configure resources
Figure 5 displays this condition where the System Under Test (SUT) is our algorithm. FCI automatically creates all the necessary code that the end user can then inject inside the algorithm's code.
The end-user needs just to ender his credentials in order 244 C. Tranoris, P Giacomin, and S. Denazis FCI to generate the necessary wrapper classes
An example is given in the following code listing in Java://an example Java federation program public class Main {public static void main (String args){/An example for VCT:
the java listing displays how we can access the resources of this VCT. FCI creates a java class,
called academic07()that we can instantiate in order to get access to the resources. Additionally, for each resource that participates in the VCT java classes are able to provide access.
For example the command myvct. getuop rubis cl 91(.set-ACTION("start";"starts the RUBIS client of the rubis cl 91 resource.
()is able to give back the CPU usage of the database resource. 5 Conclusions The results of running an experiment in Panlab are encouraging in terms of moving the designed algorithms from simulating environments to near production environments.
What is really attractive is that such algorithms can be tested in a best-effort environment with real connectivity issues that cannot be performed easily in simulation environments.
although not comparable currently with similar approaches are really encouraging in terms of moving the designed algorithms from simulating environments to near production environments.
What is really attractive is that such algorithms can be tested in a best-effort environment with real connectivity issues that cannot be performed easily in simulation environments.
, Institute of Computer science, Wuerzburg, Germany, thomas. zinner christian. schwartz phuoc. trangia@informatik. uni-wuerzburg. de 3 University of Vienna,
This is a Java based platform that manipulates two independent entities, the first is ITGSEND process that undertakes the traffic generation
Resource Adapter Description Language (RADL) 9 was used to generate source code for each Resource Adaptor (RA), where, for example,
Testing End-to-end Self-Management in a Wireless Future Internet Environment 265 Fig. 4. Decision-making algorithm for configuration action selection Simple Fig. 4 presents
Fig. 5. Decision making algorithm for configuration action selection Advanced 266 A. Kousaridas et al. The above figure (Fig. 5) illustrates the advanced version of the scheme presented above.
/ITG/index. php 9. Resource Adapter Description Language, http://trac. panlab. net/trac/wiki/RADL Part V:
and computation, there are still many unsolved problems and challenges some of which have basic aspects. Many of these aspects could not have been foreseen
promoted mainly by the necessity of support interoperability between heterogeneous, complex and distributed systems, while it should remain open for further and continuous improvement without the necessity of another disruptive modification in the future.
Real world Internet (2009), http://rwi. future-internet. eu/index. php/Position paper 5. Afuah, A.,Tucci, C. L.:
in order to evaluate the proposed algorithm and strengthen the proof of concept. Finally, the article concludes with key findings
where distributed computing and storage resources are scaled automatically up and down, with guaranteed high-capacity network connectivity. The enhanced Network Control Plane (NCP+)proposed in our architecture (Fig. 1) offers integrated mechanisms for Network+IT Provisioning Services (NIPS) through the on-demand and seamless provisioning of optical and IT resources.
The path computation is performed by dedicated PCES that implements enhanced computation algorithms able to combine both network
thereby addressing challenge#4. We evaluated an energy efficient routing algorithm (due to space limitations, the detailed algorithm is not 318 P. Vicat-Blanc et al.
Fig. 6. Number of activated fibers. Fig. 7. Number of activated data centers. shown here) from a networked IT use case:
Simulation results (see Fig. 4-6) indicate that our proposed algorithm can decrease the energy consumption by 10%compared to schemes where only IT infrastructure is considered and up to 50%when taking only the network into account
A Path Computation Element (PCE)- Based Architecture. RFC 4655 (Informational)( Aug 2006), http://www. ietf. org/rfc/rfc4655. txt 6. Handley, M.:
but cloud computing is acknowledged generally to be the provision of IT capabilities, such as computation, data storage and software on-demand, from a shared pool, with minimal interaction or knowledge by users.
-Infrastructure as a service offering resources such as a virtual machine or storage services. -Platform as a service providing services for software vendors such as a software development platform
so that other resources can be discovered. 6 See http://www. internet-of-services. com/index. php?
Software services could potentially be selected by choosing a virtual machine template which contains pre-loaded applications,
whose role is to carry out the creation of the new virtual machines which constitute the service along with monitoring and reporting for that service.
SMS wrappers deployed in the application server of the corresponding virtual machine has to connect and execute different tasks with core mobile network systems that are behind Telefónica Software Delivery Platform (SDP).
Journal of Internet Engineering 4 (1)( 2010), http://www. jie-online. org/ojs/index. php/jie/issue/view/8 3. Miller, B.:
This work uses OWL as formal language for this communication as the OWL was adopted by a considerable number of initiatives
The FINLAN ontology supports the network communication used by the Autoi vcpi (Virtual Component Programming interface) 13,
Based on the Autoi Java open source, in the ANPI demo, the ANPISDD class is prepared to use the IP and TCP (port 43702) protocols.
as in the following sample code extracted from the ANPISDD. java code. 348 E. Santos et al. public class ANPISDD extends Thread {private Serversocket server;
allowing the facilities in its use in different programming languages, since the methods proposed would be available at the operating system level. 4 Conclusions This paper has presented the FINLAN ontology works in a collaboration perspective with some Future Internet projects.
Distributed systems Ontology. In: IEEE/IFIP New Technologies, Mobility and Security Conference (2009) 8 Pereira, J. H. S.,Kofuji, S. T.,Rosa, P. F.:
using standards (RDF*,SPARQL). 4. Include links to other URIS, so that they can discover more things. 1 http://developer. zemanta. com/2 http://www. internet-of-services. com/index. php?
id=288&l=0 3 http://www. internet-of-services. com/index. php? id=260&l=0 Fostering a Relationship between Linked Data and the Internet of Services 353 RDF (Resource Description Framework) is a simple data model for semantically describing resources on the Web.
Binary properties interlink terms forming a directed graph. These terms as well as the properties are described by using URIS.
SPARQL is a query language for RDF data which supports querying diverse data sources, with the results returned in the form of a variable-binding table,
Web services provide means for the development of open distributed systems based on decoupled components, by overcoming heterogeneity
and on service discovery algorithms to provide a generic semantic service registry able to support advanced discovery over both Web APIS
of describing accepted/expected messages using SPARQL graph patterns. While this is a design decision, it aims at the greatest familiarity and ease for Linked Data developers.
The authors of 26 use the SPARQL query language to formulate user goals, and to define the pre-and post-conditions of SAWSDL-based service descriptions, which to some degree, at least conceptually,
Although, the use of SPARQL is similar across different proposals, how the patterns are exploited again offers alternative,
defined again as SPARQL CONSTRUCT queries. Work is ongoing on graph pattern-based discovery and process definition and execution. 22 http://linkedservices. org 23 http://groups google. com/group/linkeddataandservices/24 Currently that the graph patterns contained in this request,
Journal of Universal Computer science 16 (13), 1694 1719 (2010) 11. Maleshkova, M.,Pedrinaci, C.,Domingue, J.:
Semantic Service Discovery using SAWSDL and SPARQL. In: 4th Int'l Conference on Semantics, Knowledge and Grid, December 2008, pp. 205 212 (2008) Part VII:
Special algorithms are needed to reduce the amount of processing of MANE in the data plane based on deep analysis of the first packets of a flow
The evaluation algorithm considers the user flow characteristics CAN policies and present network conditions. In order to attain the required flexibility,
and traffic filtering rules by executing security related algorithms over information gathered by the monitoring subsystem.
Engineering and Computer science, Queen Mary University of London, Mile end, London E1 4ns, United kingdom {Naeem.
and prioritized in our proposed system 4. 1 Piece Picking Policy The proposed solution is a variation of the"Give-To-Get"algorithm 8,
Engineering and Computer science Queen Mary University of London, UK {qianni. zhang, ebroul. izquierdo}@ elec. qmul. ac. uk Abstract.
While linking low-level features to mid-level concepts are relatively easy to solve using the well-defined algorithms in the state-of-the-art
and are extracted using algorithms with reasonable performance. The rest of this chapter is organised as follows: Section 2 gives a review on the state-of-the-art techniques on context reasoning for multimedia retrieval task;
or content descriptors that can be computed automatically by current machines and algorithms, and the richness,
Fig. 1. Semantic inference work flow One important feature in this module is that the Bayesian network model is constructed automatically using a learning approach based on K2 algorithm 8,
In this algorithm, a Bayesian network is created by starting with an empty network and iteratively adding a directed arc to a given node from each parent node.
Due to the scope of this paper, we give only a brief introduction to K2 algorithm here.
If the reader is interested in more details about this algorithm, please refer to 8. Then in the inference stage,
Modelling and inference in this case were carried out using the K2 algorithm. The proposed approach was tested on a large size video dataset.
To this end, the ICT domain needs to push forward the implementation of future ES development environments,
Such development environments will be based on an evolution of MDA, being able to separate the specification and development of the (i) strategic business logic from the (ii) specific business operations and,
interfaces will foster new development environments conceived for business experts to directly intervene in the development process.
CBSE distinguishes the process of"component development"from that of"system development with components 9. CBSE laid the groundwork for the Object oriented Programming (OOP) paradigm that in a short time imposed itself over the preexisting modular software development techniques.
Such an issue may seem trivial to ICT people (they need a given computation to take place;
Future Internet Enterprise Systems 411 In summary, Web services were introduced essentially as a computation resource,
On the FINES development environment (see Fig. 3), FINERS are represented visually in a 3d space that models the enterprise reality (i e.,
and operational, will enjoy a fully distributed computing power, where computation will be performed directly by enterprise components,
mainly positioned in the enterprise itself of in the Cloud (typically, in case of intangible entities).
Tech Rep. MIT Laboratory for Computer science (2003), http://www. isi. edu/newarch/15. Tselentis, G.,et al.
Research projects following this direction have focused on microprocessor design, computer design, power-on-demand architectures and virtual machine consolidation techniques.
then pushes Virtual machines (VMS) or software virtual routers from the hub to a sun or wind node (spoke node) when power is available.
Based on this testbed network, experiments and research are performed targeting cloud management algorithms and optimization of the intermittently-available renewable energy sources.
OSGI (Open Services Gateway initiative) is a Java framework for remotely deployed service applications, which provides high reliability, collaboration, large scale distribution and wide-range of device usage.
simulation results can only give very limited information about the feasibility of an algorithm or a protocol in the field.
and Internet researchers to validate their cutting-edge technologies (protocols, algorithms, radio interfaces, etc.).Several use cases are currently under detailed analysis for their experimental deployment taking into account relevant criteria from local and regional authorities.
Real world Internet (RWI) Session, FIA meeting, Prague (May 2009), http://rwi. future-internet. eu/index. php/RWISESSION PRAGUE 13. COM:
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