EPOC : Energy Proportional and Opportunistic Computing system
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1 EPOC : Energy Proportional and Opportunistic Computing system Labex CominLabs ASCOLA Mines Nantes, INRIA, LINA MYRIADS IRISA, INRIA OPTICS Telecom Bretagne NET Lab-STICC/MOM ENIB AELOS/STR LINA, IRCCyN 1 Institut Mines-Télécom
2 Staff involved Project Jean-Marc Menaud, Thomas Ledoux ASCOLA, Nicolas Beldiceneau, TASC Philippe Gravey, Michel Morvan, Bruno Fracasso OPTICS, Anne Cecile Orgerie, Jean-Louis Pazat MYRIADS Claude Jard, Olivier H. Roux, Didier Lime DTR-AELOS Ammar Sharaiha, Pascal Morel, ENIB 4 Phd Labex CominLabs/Bretagne 470 Ke 2
3 Problem Workload time 3
4 Problem Renewable energy Workload?? time 4
5 Problem Renewable energy? Workload? regular electric time 5
6 Main focus Cloud Computing Servers, virtualization, QoS, Energy-aware task execution from the hardware to application's components context of a mono-site data center connected to the regular electric Grid and to renewable energy sources Challenge Design a clever cloud's resource management which takes advantage of renewable energy availability to perform opportunistic tasks, then exploring the trade-off between energy saving and performance aspects in large-scale distributed system 6
7 Palaeolithic : Dynamic Consolidaton 7
8 Palaeolithic : Dynamic Consolidaton Determine an efficient reconfiguration plan (thanks to a cost function) Administration and Application placement constraints must be considered 8
9 Palaeolithic : Dynamic Consolidaton Administration and Application placement constraints must be considered Determine an efficient reconfiguration plan (thanks to a cost function) Workload-driven without application coordination mainly based on few dimensions on homogenous platform, focus on one concern for a given time 9
10 Challenges Spatio-temporal distribution of tasks Workload-driven vs Power-driven Virtual Machine migration take time and bandwith Virtual Machine Placement Problem is similar to the multi-dimensional bin packing problem know to be NP-Hard... Validation 10
11 Challenges MYRIADS,ASCOLA,STR-AELOS Spatio-temporal distribution of tasks Machine learning Renewable energy model Task model DC Model Workload-driven vs Power-driven Virtual Machine migration take time and bandwith Virtual Machine Placement Problem is similar to the multi-dimensional bin packing problem know to be NP-Hard... Validation 11
12 Challenges MYRIADS,ASCOLA Spatio-temporal distribution of tasks Workload-driven vs Power-driven SLA: formal contract between a service provider and a service consumer on an expected QoS level Dynamic component reconfiguration to find the good trade-off between SLA and the resources consumption Virtual Machine migration take time and bandwith Virtual Machine Placement Problem is similar to the multi-dimensional bin packing problem know to be NP-Hard... Validation 12
13 Challenges ASCOLA,OPTICS, NET Spatio-temporal distribution of tasks Workload-driven vs Power-driven Virtual Machine migration take time and bandwith Migration optimization Optical network Virtual Machine Placement Problem is similar to the multi-dimensional bin packing problem know to be NP-Hard... Validation 13
14 Challenges ASCOLA,TASC Spatio-temporal distribution of tasks Workload-driven vs Power-driven Virtual Machine migration take time and bandwith Virtual Machine Placement Problem is similar to the multi-dimensional bin packing problem know to be NP-Hard... Constraint solver multi-dimensional bin packing scalability Validation 14
15 Challenges MYRIADS,ASCOLA, OPTICS, NET Spatio-temporal distribution of tasks Workload-driven vs Power-driven Virtual Machine migration take time and bandwith Virtual Machine Placement Problem is similar to the multi-dimensional bin packing problem know to be NP-Hard... Validation Simulation : Find/collect weather traces Prototype : Design a dummy DC 15
16 Workplan 16
17 Conclusion Many Questions... few answers Started on October PhD started 1 coming soon 1 in October 2014 First traces on irradiance from 2005 to 2012 Heterogeneous partners Identify challenging collaboration First results on 2014 I Hope ;-) 17
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