References of "Bouvry, Pascal 50001021"
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See detailPerformance Evaluation of the XDEM framework on the OpenStack Cloud Computing Middleware
Besseron, Xavier UL; Plugaru, Valentin UL; Mahmoudi, Amir Houshang UL et al

in Proceedings of the Fourth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering (2015, February)

As Cloud Computing services become ever more prominent, it appears necessary to assess the efficiency of these solutions. This paper presents a performance evaluation of the OpenStack Cloud Computing ... [more ▼]

As Cloud Computing services become ever more prominent, it appears necessary to assess the efficiency of these solutions. This paper presents a performance evaluation of the OpenStack Cloud Computing middleware using our XDEM application simulating the pyrolysis of biomass as a benchmark. We propose a systematic study based on a fully automated benchmarking framework to evaluate 3 different configurations: Native (i.e. no virtualization), OpenStack with KVM and XEN hypervisors. Our approach features the following advantages: real user application, the fair comparison using the same hardware, the large scale distributed execution, while fully automated and reproducible. Experiments has been run on two different clusters, using up to 432 cores. Results show a moderate overhead for sequential execution and a significant penalty for distributed execution under the Cloud middleware. The overhead on multiple nodes is between 10% and 30% for OpenStack/KVM and 30% and 60% for OpenStack/XEN. [less ▲]

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See detailVoIP Service Model for Multi-objective Scheduling in Cloud Infrastructure
Cortés-Mendoza, Jorge M.; Tchernykh; Simionovici, Ana-Maria UL et al

in International Journal of Metaheuristics (2015), 4(2), 185-203

Voice over IP (VoIP) is very fast growing technology for the delivery of voice communications and multimedia data over internet with lower cost. Early technical solutions mirrored the architecture of the ... [more ▼]

Voice over IP (VoIP) is very fast growing technology for the delivery of voice communications and multimedia data over internet with lower cost. Early technical solutions mirrored the architecture of the legacy telephone network. Now, they have adopted the concept of distributed cloud VoIP. These solutions typically allow dynamic interconnection between users on any domains. However, providers face challenges to use infrastructure in the best efficient and cost-effective ways. Hence, efficient scheduling and load balancing algorithms are a fundamental part of this approach, especially in presence of the uncertainty of a very dynamic and unpredictable environment. In this paper, we formulate the problem of dynamic scheduling of VoIP services in distributed cloud environments and propose a model for bi-objective optimisation. We consider it as the special case of the bin packing problem, and discuss solutions for provider cost optimisation while ensuring quality of service. [less ▲]

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See detailAn NK Landscape Based Model Mimicking the Protein Inverse Folding Problem
Nielsen, Sune Steinbjorn UL; Danoy, Grégoire UL; Talbi, El-Ghazali et al

in 27th European Conference on Operational Research (EURO) (2015)

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See detailNetwork-Assisted Offloading for Mobile Cloud Applications
Fiandrino, Claudio UL; Kliazovich, Dzmitry UL; Bouvry, Pascal UL et al

in IEEE International Conference on Communications (ICC), London, UK, 2015 (2015)

Data traffic from mobile devices experiences unprecedented growth that current cellular network capacities cannot sustain. Traffic offloading to other type of networks such as WiFi emerged as a valid ... [more ▼]

Data traffic from mobile devices experiences unprecedented growth that current cellular network capacities cannot sustain. Traffic offloading to other type of networks such as WiFi emerged as a valid solution to relieve the load in cellular networks. In this paper, we propose novel solution, which unlike other existing methodologies uses information provided by the cellular network to optimize traffic offloading. The provided information includes channel usage statistics, user mobility patterns, information about available resources and other parameters. The offloading decisions aim at optimizing the balance between user and application requirements with availability of network resources. We validated the effectiveness of the proposed solution through simulations with NS-3 network simulator. The results show the capability of the solution in relieving cellular load while guaranteeing user QoS. [less ▲]

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See detailPerformance and Energy Efficiency Metrics for Communication Systems of Cloud Computing Data Centers
Fiandrino, Claudio UL; Kliazovich, Dzmitry UL; Bouvry, Pascal UL et al

in IEEE Transactions on Cloud Computing (2015)

Cloud computing has become a de facto approach for service provisioning over the Internet. It operates relying on a pool of shared computing resources available on demand and usually hosted in data ... [more ▼]

Cloud computing has become a de facto approach for service provisioning over the Internet. It operates relying on a pool of shared computing resources available on demand and usually hosted in data centers. Assessing performance and energy efficiency of data centers becomes fundamental. Industries use a number of metrics to assess efficiency and energy consumption of cloud computing systems, focusing mainly on the efficiency of IT equipment, cooling and power distribution systems. However, none of the existing metrics is precise enough to distinguish and analyze the performance of data center communication systems from IT equipment. This paper proposes a framework of new metrics able to assess performance and energy efficiency of cloud computing communication systems, processes and protocols. The proposed metrics have been evaluated for the most common data center architectures including fat tree three-tier, BCube, DCell and Hypercube. [less ▲]

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See detailResilience within Ultrascale Computing System: Challenges and Opportunities from Nesus Project
Bouvry, Pascal UL; Mayer, R.; Muszynski, Jakub UL et al

in Supercomputing Frontiers and Innovations (2015), 2(2), 46--63

Ultrascale computing is a new computing paradigm that comes naturally from the necessity of computing systems that should be able to handle massive data in possibly very large scale distributed systems ... [more ▼]

Ultrascale computing is a new computing paradigm that comes naturally from the necessity of computing systems that should be able to handle massive data in possibly very large scale distributed systems, enabling new forms of applications that can serve a very large amount of users and in a timely manner that we have never experienced before. However, besides the benefits, ultrascale computing systems do not come without challenges. One of the challenges is the resilience of ultrascale computing systems. Although resilience is already an established field in system science and many methodologies and approaches are available to deal with it, the unprecedented scales of computing, of the massive data to be managed, new network technologies, and drastically new forms of massive scale applications bring new challenges that need to be addressed. This paper reviews the challenges and approaches of resilience in ultrascale computing systems from multiple perspectives involving and addressing the resilience aspects of hardware-software co-design for ultrascale systems, resilience against (security) attacks, new approaches and methodologies to resilience in ultrascale systems, applications and case studies. [less ▲]

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See detailModels for Efficient Data Replication in Cloud Computing Datacenters
Boru, Dejene; Kliazovich, Dzmitry UL; Granelli, Fabrizio et al

in IEEE International Conference on Communications (ICC), London, UK, 2015 (2015)

Cloud computing is a computing model where users access ICT services and resources without regard to where the services are hosted. Communication resources often become a bottleneck in service ... [more ▼]

Cloud computing is a computing model where users access ICT services and resources without regard to where the services are hosted. Communication resources often become a bottleneck in service provisioning for many cloud applications. Therefore, data replication which brings data (e.g., databases) closer to data consumers (e.g., cloud applications) is seen as a promising solution. In this paper we present models for energy consumption and bandwidth demand of database access in cloud computing datacenter. In addition we propose an energy efficient replication strategy based on the proposed models which results in improved Quality of Service (QoS) with reduced communication delays. The evaluation results obtained with extensive simulations help to unveil performance and energy efficiency tradeoffs as well as guide the design of future data replication solutions. [less ▲]

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See detailEnergy-efficient Data Replication in Cloud Computing Datacenters
Boru, Dejene; Kliazovich, Dzmitry UL; Granelli, Fabrizio et al

in Cluster Computing (2015), 18(1), 385-402

Cloud computing is an emerging paradigm that provides computing, communication and storage resources as a service over a network. Communication resources often become a bottleneck in service provisioning ... [more ▼]

Cloud computing is an emerging paradigm that provides computing, communication and storage resources as a service over a network. Communication resources often become a bottleneck in service provisioning for many cloud applications. Therefore, data replication which brings data (e.g., databases) closer to data consumers (e.g., cloud applications) is seen as a promising solution. It allows minimizing network delays and bandwidth usage. In this paper we study data replication in cloud computing data centers. Unlike other approaches available in the literature, we consider both energy efficiency and bandwidth consumption of the system. This is in addition to the improved quality of service QoS obtained as a result of the reduced communication delays. The evaluation results, obtained from both mathematical model and extensive simulations, help to unveil performance and energy efficiency tradeoffs as well as guide the design of future data replication solutions. [less ▲]

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See detailEnergy Consumption Optimization in Cloud Data Centers
Kliazovich, Dzmitry UL; Bouvry, Pascal UL; Granelli, Fabrizio et al

in Cloud Services, Networking and Management (2015)

Cloud computing data centers are becoming increasingly popular for providing computing resources. However, the expenses of these data centers has skyrocketed with the increase in computing capacity with ... [more ▼]

Cloud computing data centers are becoming increasingly popular for providing computing resources. However, the expenses of these data centers has skyrocketed with the increase in computing capacity with large percentage of the operational expenses due to energy consumption, especially in data centers that are used as backend computing infrastructure for cloud computing. This chapter emphasizes the role of the communication fabric in energy consumption and presents solutions for energy efficient network aware resource allocation in clouds. [less ▲]

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See detailHEROS: Energy-Efficient Load Balancing for Heterogeneous Data Centers
Guzek, Mateusz UL; Kliazovich, Dzmitry UL; Bouvry, Pascal UL

in 8th IEEE International Conference on Cloud Computing IEEE CLOUD 2015 (2015)

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See detailNIDISC Introduction and Committees
Bouvry, Pascal UL; Danoy, Grégoire UL; Seredynski, Franciszek et al

in Parallel and Distributed Processing Symposium Workshop (IPDPSW), 2015 IEEE International 2015-10-27 14:21:42 +0000 2015-10-27 14:21:42 +0000 (2015)

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See detailConnectivity Stability in Autonomous Multi-level UAV Swarms for Wide Area Monitoring
Danoy, Grégoire UL; Brust, Matthias R. UL; Bouvry, Pascal UL

in Proceedings of the Fifth ACM International Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications (2015)

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See detailA Novel Multi-objectivisation Approach for Optimising the Protein Inverse Folding Problem
Nielsen, Sune Steinbjorn UL; Danoy, Grégoire UL; Jurkowski, Wiktor et al

in Applications of Evolutionary Computation: 18th European Conference, EvoApplications 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings (2015)

In biology, the subject of protein structure prediction is of continued interest, not only to chart the molecular map of the living cell, but also to design proteins of new functions. The Inverse Folding ... [more ▼]

In biology, the subject of protein structure prediction is of continued interest, not only to chart the molecular map of the living cell, but also to design proteins of new functions. The Inverse Folding Problem (IFP) is in itself an important research problem, but also at the heart of most rational protein design approaches. In brief, the IFP consists in finding sequences that will fold into a given structure, rather than determining the structure for a given sequence - as in conventional structure prediction. In this work we present a Multi Objective Genetic Algorithm (MOGA) using the diversity-as-objective (DAO) variant of multi-objectivisation, to optimise secondary structure similarity and sequence diversity at the same time, hence pushing the search farther into wide-spread areas of the sequence solution-space. To control the high diversity generated by the DAO approach, we add a novel Quantile Constraint (QC) mechanism to discard an adjustable worst quantile of the population. This DAO-QC approach can efficiently emphasise exploitation rather than exploration to a selectable degree achieving a trade-off producing both better and more diverse sequences than the standard Genetic Algorithm (GA). To validate the final results, a subset of the best sequences was selected for tertiary structure prediction. The super-positioning with the original protein structure demonstrated that meaningful sequences are generated underlining the potential of this work. [less ▲]

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See detailNK Landscape Instances Mimicking the Protein Inverse Folding Problem Towards Future Benchmarks
Nielsen, Sune Steinbjorn UL; Danoy, Grégoire UL; Bouvry, Pascal UL et al

in GECCO Companion '15 Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation (2015)

This paper introduces two new nominal NK Landscape model instances designed to mimic the properties of one challenging optimisation problem from biology: the Inverse Folding Problem (IFP), here focusing ... [more ▼]

This paper introduces two new nominal NK Landscape model instances designed to mimic the properties of one challenging optimisation problem from biology: the Inverse Folding Problem (IFP), here focusing on a simpler secondary structure version. Through landscape analysis tests, numerous problem properties are identified and used to parameterise and validate model instances in terms of epistatic links, adaptive- and random walk characteristics. Then the performance of different Genetic Algorithms (GAs) is compared on both the new NK Models and the original IFP, in terms of population diversity, solution quality and convergence characteristics. It is demonstrated that very similar properties are captured in all presented tests with a significantly faster evaluation time compared to the real IFP. The future purpose of such a model is to provide a generic benchmark for algorithms targeting protein sequence optimisation, specifically in protein design. It may also provide the foundation for more in-depth studies of the size, shape and characteristics of the solution space of good solutions to the IFP. [less ▲]

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See detailPerformance Analysis of Cloud Environments on Top of Energy-Efficient Platforms Featuring Low Power Processors
Plugaru, Valentin UL; Varrette, Sébastien UL; Bouvry, Pascal UL

in Proc. of the 6th IEEE Intl. Conf. on Cloud Computing Technology and Science (CloudCom'14) (2014, December)

Energy efficiency remains a prevalent concern in the development of future HPC systems. Thus the next generations of supercomputers are foreseen to be developed as hybrid systems featuring traditional ... [more ▼]

Energy efficiency remains a prevalent concern in the development of future HPC systems. Thus the next generations of supercomputers are foreseen to be developed as hybrid systems featuring traditional processors, accelerators (such as GPGPUs) and/or low-power processor architectures (ARM, Intel Atom, etc.) primarily designed for the mobile and embedded de- vices market. Also, a confluence with the Cloud Computing (CC) paradigm is anticipated, driven by economic sustainability factors. However, the performance impact of running Cloud middleware on such crossbred platforms remains to be explored, especially on low power processors. In this context, this paper brings two main contributions: (1) the design and implementation of BACH, a framework able to execute automated performance evaluations of Cloud and HPC cluster environments; (2) the concrete validation of the framework for the evaluation of the modern OpenStack Infrastructure-as-a-Service (IaaS) middleware, deployed on a cutting-edge cluster based on ultra low power energy efficient ARM processors. The efficiency in itself is measured with synthetic HPC benchmarks: HPCC (incorporating the well known HPL), HPCG and real world applications from the bioinformatics domain - GROMACS and ABySS. The experimental evaluation revealed an average 24% performance drop in performance for compute-intensive tasks and 65.6% drop in communication capacity compared to the native environment without the IaaS solution, showing a non-negligible impact on the tested platform. To our knowledge, this is one of the first studies of this type, since deployment attempts of the OpenStack infrastructure on top of ARM platforms are in early stages, and are generally performed only for demonstration purposes. [less ▲]

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See detailVisualization and Classification of Protein Secondary Structures using Self-Organizing Maps
Grevisse, Christian UL; Muller, Ian William UL; Jimenez Laredo, Juan Luis UL et al

in IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014) (2014, December)

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See detailParaMASK: a Multi-Agent System for the Efficient and Dynamic Adaptation of HPC Workloads
Guzek, Mateusz UL; Besseron, Xavier UL; Varrette, Sébastien UL et al

in 14th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2014) (2014, December)

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See detailMulti-Objective Evolutionary Approach for the Satellite Payload Power Optimization Problem
Kieffer, Emmanuel UL; Stathakis, Apostolos UL; Danoy, Grégoire UL et al

in IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014) (2014, December)

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See detailBi-objective Exact Optimization of Satellite Payload Power Configuration
Kieffer, Emmanuel UL; Stathakis, Apostolos UL; Danoy, Grégoire UL et al

in VIII ALIO/EURO Workshop on Applied Combinatorial Optimization (2014, December)

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See detailErratum to: Internet shopping with price-sensitive discounts
Blazewicz, Jacek; Bouvry, Pascal UL; Kovalyov, Michael et al

in 4OR: a quarterly journal of operations research (2014), 12(4), 403-406

In Blazewich et al. (4OR-Q J Oper Res 12(1):35–48, 2014), an Internet shopping problem with price-sensitive discounts was introduced, in which a customer wants to buy a given set of products in a given ... [more ▼]

In Blazewich et al. (4OR-Q J Oper Res 12(1):35–48, 2014), an Internet shopping problem with price-sensitive discounts was introduced, in which a customer wants to buy a given set of products in a given set of Internet shops. This problem is an extension of the original Internet shopping optimization problem (ISOP) presented in Blazewich et al. (Int J Appl Math Comput Sci 20(2):385–390, 2010). For each Internet shop, standard prices for the products are given as well as a concave increasing discounting function of the total standard and delivery price. The problem is to buy all the required products at the minimum total discounted price. Among other results, approximability issues were shortly discussed. This note extends this discussion and corrects a flaw in Blazewich et al. (4OR-Q J Oper Res 12(1):35–48, 2014). [less ▲]

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