Computer science Ambassador Scheme for 45 secondary school pupils, involving 60 hours guided experience of digital opportunities.
computer science for pupils aged 14-15 will run until 2015 and so far half of the
computer science in a fun way Schaart said that the Commission has promoted rightly digitalisation and its adoption by society as one of the
study computer science While the industry still has an image problem of only employing the stereotypical tech geek, Higgins added
Computer algorithms are better at diagnosing severe cancer than humans, Kenneth Cukier told Euractiv, and big data can predict
algorithms onto these large amounts of data Let me give you an example. Google handles more than a billion searches in the
algorithm †a way of making a calculation -that ranked the terms by how well they
algorithm is better at diagnosing severe cancer than a human. But in in a world
Lecture Notes in Computer science 6656 Commenced Publication in 1973 Founding and Former Series Editors Gerhard Goos, Juris Hartmanis,
Algorithms on the Federated Environment of Panlab...237 Christos Tranoris, Pierpaolo Giacomin, and Spyros Denazis
-ponents could have direct interworking with control algorithms, situated in the control plane of the Internet (i e. to provide real time reaction),
Integrating this concept with distributed anchors, the algorithms supporting dynamic mobility could also be distributed. Such integration is accomplished in
-cluding models, algorithms, processes, methodologies and architectures. The func -tional architecture collectively constitute, in terms of implementation efforts, frame
•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
keep algorithms and procedures, laying at different layers, independent one another In addition, even in the framework of a given layer, algorithms and procedures deal
-ing with different tasks are designed often independently one another. These issues greatly simplify the overall design of the telecommunication networks and greatly
Nevertheless, a major limitation of this approach derives from the fact that algorithms and procedures are poorly coordinated one another,
coordination between algorithms and procedures dealing with different tasks ii) A second limitation derives from the fact that, at present, 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 traf
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.
framework, on the one hand, is expected to embed algorithms and procedures which leaving out of consideration the specificity of the various networks,
input, coupled with a proper design of Cognitive Enabler algorithms (e g.,, multi -objective 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
adoption of algorithms and procedures coordinated one another and even jointly ad -dressing in a one-shot way,
adoption of multi-object algorithms and procedures which jointly address prob -lems traditionally dealt with in a separate and uncoordinated fashion at different
) for the algorithms and rules embedded in the Cognitive Enablers, which are expected to remarkably improve efficiency
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
-rithm, a Path selection algorithm and a Load Balancing algorithm has been consid -ered in our tests
the algorithms the Cognitive Enabler will be based on, have all to be selected carefully case by case;
Stability of end-to-end algorithms for joint routing and rate control Computer Communication Review 35,2 (2005
gestion control algorithm that gives the right incentives to users of bandwidth inten -sive applications.
Theoretical Aspects of Computer science 1999, pp. 404†413 (1999 13. MOBITHIN project: D2. 5 Business models, Public Deliverable
routing algorithm, reach -ability, and Qos for the publication and may support transport abstraction specific
-ment of Computer science and Engineering, Aalto University, School of Science and Technology (2010 Engineering Secure Future Internet Services
Lock-free wait-free algorithms for common soft -ware abstractions (queues, bags, etc. are one of the most eï €ective approaches
These algorithms are hard to design and prove correct, error-prone to program, and challenging to debug.
of the 22nd Annual Symposium on Foundations of Computer science, Washing -ton, DC, USA, pp. 350†357.
Computer science Review 4 (2), 81†99 (2010 19. Le Guernic, G.,Banerjee, A.,Jensen, T.,Schmidt, D. A.:
Symposium on Foundations of Computer science, pp. 46†57. IEEE Computer So -ciety Press, Los Alamitos (1977
Adaptive Admission Control and Resource Allocation Algorithms on the Federated Environment of Panlab†reports on experiments needing to directly interact with the
Resource Allocation Algorithms on the Federated Environment of Panlab Christos Tranoris, Pierpaolo Giacomin, and Spyros Denazis
where an adaptive resource allocation algorithm was tested utilizing Panlab†s infrastructure. Implementation details are given in terms of building a RUBIS
moving a designed algorithm from a simulating environment to near production best -effort environment and ii) to exploit the framework in such a way that will allow the
Fig. 1. The setup for testing the algorithm The adaptive admission control and resource allocation algorithm is applied to suc
-ceed 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
admission control and resource allocation algorithm is tested against network metrics like round trip time and throughput.
-gramming language that implements an admission algorithm. Figure 1 displays the 240 C. Tranoris, P. Giacomin, and S. Denazis
The algorithm, which is located at the proxy unit, needs to monitor the CPU usage of the Web application and Database
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
-tor resources within the C algorithm. So the resources need to provide monitoring and provisioning mechanisms
â € A Linux machine for the hosting the algorithm unit, capable of compiling C and
The final user needs to provide the algorithm under test. He will just login to the
know about the IP of the proxy which hosts the algorithm. The proxy needs to know
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 in
the designed algorithms from simulating environments to near production environ -ments. 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 simula -tion environments. The presented use case example demonstrated the usage of exist
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 environ
2 University of Wuerzburg, Institute of Computer science, Wuerzburg, Germany thomas. zinner christian. schwartz phuoc. trangia@informatik. uni-wuerzburg. de
Fig. 4. Decision-making algorithm for configuration action selection †Simple Fig. 4 presents the simple version of the decision taking scheme Firstly, the PER
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
algorithm and strengthen the proof of concept. Finally, the article concludes with key findings and future work
computation algorithms able to combine both network and IT parameters with energy-consumption information in order to select the most suitable resources
eï cient routing algorithm (due to space limitations, the detailed algorithm is not 318 P. Vicat-Blanc et al
Fig. 6. Number of activated ï bers Fig. 7. Number of activated data centers shown here) from a networked IT use case:
4-6) indicate that our proposed algorithm can decrease the energy consumption by 10%compared to schemes where only IT infrastructure is considered and
development on the Web and on service discovery algorithms to provide a generic semantic service registry able to support advanced discovery over both Web APIS and
Journal of Universal Computer science 16 (13), 1694†1719 (2010 11. Maleshkova, M.,Pedrinaci, C.,Domingue, J.:
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
The evaluation algorithm considers the user flow characteristics CAN policies and present network conditions. In order to attain the required flexibil
School of Electronic Engineering and Computer science, Queen Mary University of London Mile end, London E1 4ns, United kingdom
The proposed solution is a variation of the"Give-To-Get"algorithm 8, already im
School of Electronic Engineering and Computer science Queen Mary University of London, UK {qianni. zhang, ebroul. izquierdo}@ elec. qmul. ac. uk
-tively easy to solve using the well-deï ned algorithms in the state-of-the-art, the mapping between mid-and high-level features are still diï cult.
and are extracted using algorithms with reasonable per -formance The rest of this chapter is organised as follows:
algorithms, and the richness, and subjectivity of semantics in high-level human interpretations of audiovisual mediaâ€.
constructed automatically using a learning approach based on K2 algorithm 8 which is basically a greedy search technique.
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
algorithm here. If the reader is interested in more details about this algorithm please refer to 8
Then in the inference stage, when an un-annotated data item is present, the Bayesian network model derived from the training stage conducts automatic
out using the K2 algorithm. The proposed approach was tested on a large size video dataset. The obtained results have shown that this approach was capable
Laboratory for Computer science (2003), http://www. isi. edu/newarch /15. Tselentis, G.,et al. eds.):) Towards the Future Internet-Emerging Trends from European
-search are performed targeting cloud management algorithms and optimization of the intermittently-available renewable energy sources
-mation about the feasibility of an algorithm or a protocol in the field In many cases, due to practical and outside plant constraints, a number of issues
-date their cutting-edge technologies (protocols, algorithms, radio interfaces, etc Several use cases are currently under detailed analysis for their experimental de
A Use-Case on Testing Adaptive Admission Control and Resource Allocation Algorithms on the Federated Environment of Panlab
The estimation algorithm and a discussion about identification are presented in Section 4. The results and managerial implications are described in Section 5,
for the estimation algorithm 10 Finally, we assume that"ijt are unobserved shocks that are independently and identically dis
Before we describe the estimation algorithm, we discuss the data patterns that identify the pa
4. 2 Estimation Algorithm The structure of the consumer choice process within one time period involves making two consecutive
We employ the iterative Expectation-Maximization (EM) algorithm procedure (Arcidiacono and Jones, 2003; Chung et al.
We combine the EM algorithm with the use of the constrained optimization approach (Su and Judd, 2012;
Here, instead of using the nested fixed point algorithm (NFXP) on the Bell -man equation to solve for the value function,
The estimation algorithm proceeds as follows Step 1. Make an initial guess for the probability that each individual
and the EM Algorithm, †Econometrica, Econometric Society, Vol. 71 (3), pp. 933-946 4. Arndt, Johan (1967), â€oerole of Product-Related Conversations in the Diï €usion of a New Prod
and research in computer science and information and communication technologies, and including dedicated incubation space. Project financed at
context for the development of the Google search algorithm that soon became the basis of a firm formation
and computer science and identifying the most cutting edge phenomena is an arduous task. I congratulate Vincenzo for this book and look
from management to computer science and engineering, among others Furthermore, it is yet difficult to find such kind of unified survey acting as an
respective areas (management, engineering, and computer science. However these publications are going to be a part of the large set of information and body
, information systems and computer science, among other fields, contributions to Big data research. In Table 1. 1 we classify these per
Taking these issues into account, nowadays, algorithms for global evaluation are the most common methods used to identify opinion leaders online, without
Stream synopsis algorithms and software Histograms and sketches for data stream computation problems see 37 for a survey
Using powerful machine learning algorithms, it provides extremely accurate profiling and segmentation of consumers based on habits and
University Professors in computer science, who were fascinated by the prospect to understand human behavior through the analysis of location data over time.
-preneur and one of the most cited authors in computer science. His research at the MIT Human Dynamics Lab has been an important brick in the development of the
algorithms 10.4 Billguard Billguard 5 is a personal finance security system scanning credit card activity daily for hidden charges, billing errors, forgotten subscriptions, scams and fraud
Google Ventures uses algorithms with data from academic literature or from due diligences As summarized in The New york times:
data were processed by advanced computer algorithms e g.,, sophisticated sampling and the use of aggregated indicators) so that it was unlikely that any individual could
algorithms and contract law to specify and audit how personal data may be used and shared is the goal of
helps travelers predict flight delays using an algorithm that scours data on every domestic flight for the past 10
Computer science and his MSC in Business Administration from the University of California at Berkeley. His current
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