Title :
Mutual Influence of Application- and Platform-Level Adaptations on Energy-Efficient Computing
Author :
Rybina, Kateryna ; Dargie, Waltenegus ; Schone, Rene ; Malakuti, Somayeh
Author_Institution :
Fac. of Comput. Sci., Tech. Univ. of Dresden, Dresden, Germany
Abstract :
We experimentally investigate the mutual influence of application- and platform-level adaptations in a virtualized cluster environment. At the application level, applications can adapt to a changing execution environment by dynamically exchanging components that enable them to trade energy for utility and vice versa. Likewise, at the platform level, virtual machine monitors can migrate virtual machines from one server to another either to consolidate workloads and switch-off underutilized servers or to distribute the workload of overloaded servers. Our experiment quantify impacts of various types of adaptations on QoS, power consumption, and energy-overhead.
Keywords :
cloud computing; network servers; power aware computing; virtual machines; QoS; application-level adaptation; cloud computing; energy-efficient computing; energy-overhead; overloaded servers; platform-level adaptation; power consumption; virtual machine; Power demand; Quality of service; Random access memory; Servers; Switches; Transcoding; Virtual machining; Adaptation; cloud computing; energy-efficient computing; migration costs; virtual machines migration; virtualization;
Conference_Titel :
Parallel, Distributed and Network-Based Processing (PDP), 2015 23rd Euromicro International Conference on
Conference_Location :
Turku
