Journal ArticleDOI
Green flexible opportunistic computing with task consolidation and virtualization
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TLDR
The experimental results show that virtualization significantly improves the energy efficiency of opportunistic grids compared with dedicated computing systems without disturbing the end-user.Abstract:
Energy efficiency and high computing power are basic design considerations across modern-day computing solutions due to different concerns such as system performance, operational cost, and environmental issues. Desktop Grid and Volunteer Computing System (DGVCS) so called opportunistic infrastructures offer computational power at low cost focused on harvesting idle computing cycles of existing commodity computing resources. Other than allowing to customize the end user offer, virtualization is considered as one key techniques to reduce energy consumption in large-scale systems and contributes to the scalability of the system. This paper presents an energy efficient approach for opportunistic infrastructures based on task consolidation and customization of virtual machines. The experimental results with single desktops and complete computer rooms show that virtualization significantly improves the energy efficiency of opportunistic grids compared with dedicated computing systems without disturbing the end-user.read more
Citations
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Novel resource allocation algorithms to performance and energy efficiency in cloud computing
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Adaptive energy efficient scheduling in Peer-to-Peer desktop grids
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Scalable, low complexity, and fast greedy scheduling heuristics for highly heterogeneous distributed computing systems
TL;DR: The set of experimental results shows that the heuristics perform as good as the traditional approaches, for makespan and flowtime, while featuring lower complexity, lower running time, and lower used memory.
Proceedings ArticleDOI
Energy-aware VM allocation on an opportunistic cloud infrastructure
TL;DR: Different energy-aware algorithms are designed and developed to operate in an energy-efficient way and at the same time to guarantee the performance of the UnaCloud users.
Journal ArticleDOI
Modeling and analysis of memory virtualization in cloud computing
TL;DR: This paper proposes three memory management policies, combination of ballooning and swapping intended for busy virtual memory (VMEM), to increase virtual memory utilization and addresses SRN hierarchical modeling of memory virtualization in cloud computing.
References
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Proceedings ArticleDOI
Condor-a hunter of idle workstations
TL;DR: The design, implementation, and performance of the Condor scheduling system, which operates in a workstation environment, are presented and a performance profile of the system is presented that is based on data accumulated from 23 stations during one month.
Journal ArticleDOI
The Case for Energy-Proportional Computing
Luiz Andre Barroso,Urs Hölzle +1 more
TL;DR: Energy-proportional designs would enable large energy savings in servers, potentially doubling their efficiency in real-life use, particularly the memory and disk subsystems.
Proceedings ArticleDOI
BOINC: A System for Public-Resource Computing and Storage
TL;DR: The goals of BOINC are described, the design issues that were confronted, and the solutions to these problems are described.
Journal ArticleDOI
SETI@home: an experiment in public-resource computing
TL;DR: Millions of computer owners worldwide contribute computer time to the search for extraterrestrial intelligence, performing the largest computation ever.
Proceedings ArticleDOI
Condor-G: a computation management agent for multi-institutional grids
TL;DR: It is asserted that Condor-G can serve as a general-purpose interface to Grid resources, for use by both end users and higher-level program development tools.