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Jean-Marc Pierson
University of Toulouse
146Publications
19H-index
1,333Citations
Publications 146
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#1Saif ul IslamH-Index: 2
#2Hasan Ali Khattak (CUI: COMSATS Institute of Information Technology)H-Index: 5
Last.Jean-Marc PiersonH-Index: 19
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Abstract With the explosive increase in Internet users and ultimately its infrastructure, efficient resource utilization has become one of the most prominent challenges in large-scale distributed systems. Content Distribution Networks (CDNs) are among the favored large-scale distributed systems that are currently handling around 40 % of the Internet traffic. In literature, different approaches have been proposed to improve the CDN performance by improving CDN utility. The CDN utility is the rati...
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#1Tanissia Djemai (CNRS: Centre national de la recherche scientifique)
#2Patricia StolfH-Index: 10
Last.Jean-Marc PiersonH-Index: 19
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The Internet of Things (IoT) encompasses both large-scale deployed physical infrastructures and software layers that enable intuitive and transparent creation of applications. This highly distributed, energy-greedy environment must ensure the quality of deployed services while taking into account the heterogeneity of capabilities and protocols as well as users and objects mobility. Deployment infrastructure has been redesigned to provide the necessary features, including paradigms such as softwa...
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#1Jean-Marc Pierson (University of Toulouse)H-Index: 19
#2Patricia Stolf (University of Toulouse)H-Index: 10
Last.Henri Casanova (U.H.: University of Hawaii at Manoa)H-Index: 10
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This paper focuses on scheduling problems related to the execution of computational jobs in datacenters with thermal constraints. Mixed integer linear programming (MILP) formulations are proposed that encompass both spatial and temporal aspects of the temperature evolution under a unified model. This model takes into account the dynamics of heat production and dissipation in order to schedule jobs at appropriate times on appropriate machines. The proposed MILP formulations are applicable to both...
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#1Ariel OleksiakH-Index: 16
#2Laurent LefH-Index: 18
Last.Sébastien VarretteH-Index: 10
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Energy consumption is one of the main limiting factors for the design of ultrascale infrastructures. Multi-level hardware and software optimizations must be designed and explored in order to reduce energy consumption for these largescale equipment. This chapter addresses the issue of energy efficiency of ultrascale systems in front of other quality metrics. The goal of this chapter is to explore the design of metrics, analysis, frameworks and tools for putting energy awareness and energy efficie...
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A lot of cloud computing and cloud database techniques are adopted in industry and academia to face the explosion of the arrival of the big data era. Meanwhile, energy efficiency and energy saving become a major concern in data centers, which are in charge of large distributed systems and cloud databases. However, the phenomenon of energy wasting is related to resource provisioning. Hot-N-Cold model is introduced in this paper, which uses workload predictions and DVFS(Dynamic Voltage and Frequen...
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#1Chaopeng GuoH-Index: 1
#2Jean-Marc PiersonH-Index: 19
Last.Jie SongH-Index: 2
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#1Patricia Stolf (University of Toulouse)H-Index: 10
#2Jean-Marc Pierson (University of Toulouse)H-Index: 19
Last.Paul Renaud-Goud (University of Toulouse)
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#1Jean-Marc PiersonH-Index: 19
Last.Christophe VarnierH-Index: 4
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#1Chaopeng Guo (University of Toulouse)
#2Jean-Marc Pierson (University of Toulouse)H-Index: 19
A lot of cloud systems are adopted in industry and academia to face the explosion of the data volume and the arrival of the big data era. Meanwhile, energy efficiency and energy saving become major concerns for data centers where massive cloud systems are deployed. However, energy waste is quite common due to resource over-provisioning. In this paper, using Dynamic Voltage and Frequency Scaling (DVFS), a frequency selection approach is introduced to improve the energy efficiency of cloud systems...
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