Open AccessProceedings Article
Energy aware consolidation for cloud computing
Shekhar Srikantaiah,Aman Kansal,Feng Zhao +2 more
- pp 10-10
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TLDR
The study reveals the energy performance trade-offs for consolidation and shows that optimal operating points exist and the challenges in finding effective solutions to the consolidation problem.Abstract:
Consolidation of applications in cloud computing environments presents a significant opportunity for energy optimization. As a first step toward enabling energy efficient consolidation, we study the inter-relationships between energy consumption, resource utilization, and performance of consolidated workloads. The study reveals the energy performance trade-offs for consolidation and shows that optimal operating points exist. We model the consolidation problem as a modified bin packing problem and illustrate it with an example. Finally, we outline the challenges in finding effective solutions to the consolidation problem.read more
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Cloud computing: state-of-the-art and research challenges
Qi Zhang,Lu Cheng,Raouf Boutaba +2 more
TL;DR: A survey of cloud computing is presented, highlighting its key concepts, architectural principles, state-of-the-art implementation as well as research challenges to provide a better understanding of the design challenges of cloud Computing and identify important research directions in this increasingly important area.
Journal ArticleDOI
Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing
TL;DR: An architectural framework and principles for energy-efficient Cloud computing are defined and the proposed energy-aware allocation heuristics provision data center resources to client applications in a way that improves energy efficiency of the data center, while delivering the negotiated Quality of Service (QoS).
Journal ArticleDOI
Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers
Anton Beloglazov,Rajkumar Buyya +1 more
TL;DR: A competitive analysis is conducted and competitive ratios of optimal online deterministic algorithms for the single VM migration and dynamic VM consolidation problems are proved, and novel adaptive heuristics for dynamic consolidation of VMs are proposed based on an analysis of historical data from the resource usage by VMs.
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Service-oriented computing
TL;DR: This keynote argues that there is in fact even more profound change that the authors are facing – the programmability aspect that is intimately associated with all IoT systems.
Proceedings ArticleDOI
Energy Efficient Resource Management in Virtualized Cloud Data Centers
Anton Beloglazov,Rajkumar Buyya +1 more
TL;DR: First results of simulation-driven evaluation of heuristics for dynamic reallocation of VMs using live migration according to current requirements for CPU performance are presented, showing that the proposed technique brings substantial energy savings, while ensuring reliable QoS.
References
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