Dependable autonomic cloud computing with information proxies

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Tarih

2011

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info:eu-repo/semantics/closedAccess

Özet

Autonomic computing systems promise to manage themselves on a set of basic rules specified to higher level objectives. One of the challenges in making this possible is dependable collaboration among peers in a large-scale network. Effective maintenance of next generation distributed systems, such as clouds and second generation grids, will be nearly impossible without autonomic computing, with ever increasing scale of such systems. In addition, due to the nature of autonomous clouds to form administrative boundaries, dependable collaboration becomes a much harder problem. Employing information proxies may help improve such collaboration in existence of administrative boundaries. Although a general proxy definition can refer to many contexts, we focus on such proxies for dependable collaboration for distributed resource scheduling. Our definition of information proxies, and the particular areas we make use of them mainly contribute to the self-configuring and self-optimizing fundamentals of the autonomic computing paradigm in general. By simulation, we show that information proxies help improve resource scheduling decisions that support large-scale autonomic computing systems. Key Words: self-provisioning, self-configuring, self-optimizing, information proxies, dependable cloud computing, autonomic network computing. © 2011 IEEE.

Açıklama

IEEE Computer Society Technical Committee on Parallel Processing
25th IEEE International Parallel and Distributed Processing Symposium, Workshops and Phd Forum, IPDPSW 2011 -- 16 May 2011 through 20 May 2011 -- Anchorage, AK -- 87731

Anahtar Kelimeler

Autonomic Computing, Autonomic Computing System, Autonomic Network, Distributed Resources, Distributed Systems, Large-Scale Network, Resource-Scheduling, Second Generation, Self-Configuring, Self-Optimizing, Self-Provisioning, Clouds, Computer Systems, Distributed Parameter Networks, Optimization, Parallel Processing Systems, Scheduling, Cloud Computing

Kaynak

IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum

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