Path selection strategy for consumer grid over OBS networks

Guerreiro, M.; Pavan, Claunir; Barradas, Alvaro L.; Pinto, Armando N.; Medeiros, Maria C. R.

doi:10.1109/icton.2008.4598674

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…Guerreiro et al have investigated efficient path selection strategies for GoOBS [10]. The concept of dynamic load balancing to improve the performance of grid applications has been investigated in [11].…”

Section: Related Workmentioning

confidence: 98%

Minimizing Resource Blocking Rate in GoOBS

Saha

Deogun

2011

2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

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The state of the resources at a destination in Grid computing over OBS architecture (GoOBS) may change between a task's selection of a destination and its arrival at the destination. These changes in the availability of the resources requested at the destination may lead to blocking of tasks, and thus increase the resource blocking rate.In this paper, we investigate the resource scheduling problem in GoOBS. Our objective is to minimize the resource blocking rate by containing the impact of the changes in the availability of the resources at a destination. We propose a non-selfish destination selection paradigm to minimize the resource blocking rate. The selection of a destination by a request is called non-selfish, if the selected destination has sufficient resources available to simultaneously process one or more additional requests. Extensive simulations were performed to validate the effectiveness of the heuristics based on the non-selfish destination selection paradigm. Among the proposed heuristics, the NFFD heuristic is most effective in minimizing the resource blocking rate. Compared to the best existing approach, the NFFD heuristic reduces the resource blocking rate by 21% to 73% in our experiments.

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Section: Related Workmentioning

confidence: 98%

Minimizing Resource Blocking Rate in GoOBS

Saha

Deogun

2011

2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

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“…In previous studies, there are a number of works that address grid resource scheduling and allocation over OBS [5][6][7][8][9]. The works [5] and [6] show how to apply the anycast routing scheme for grid over OBS network to improve grid service performance in term of blocking probability.…”

Section: Introductionmentioning

confidence: 98%

“…Various resource selection approaches have been proposed and compared in terms of blocking probability. The works in [8][9] apply adaptive path selection in Grid over OBS for a unicast request with the goal of avoiding burst contention in GoOBS.…”

Section: Introductionmentioning

confidence: 99%

Sequential Task Anycast Scheduling in Optical Burst Switched Networks

Kannasoot

Patel

Jue

2010

2010 IEEE International Conference on Communications

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We investigate the sequential task anycast scheduling problem (STAS) for grid applications in an optical burst switched network. In STAS, the subtasks of a given request have sequential dependency and must be processed in order. Each node in the network provides a set of services and each subtask may demand a different type of service. The problem is to find an ordered set of nodes that can minimize the request completion time and request blocking probability. In this work, we consider the delay caused by buffering at service nodes and the blocking caused by burst contention. We propose an auxiliary graph based heuristic with cost assignment policies to obtain ordered set of sequential nodes which can minimize task completion time. We compare the heuristics with a random task assignment policy, and the results show that the proposed heuristics can improve request blocking probability and end-to-end delay.

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Introduction to Optical Burst Switching

Venkatesh

Murthy

2009

An Analytical Approach to Optical Burst Switched Networks

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Path selection strategy for consumer grid over OBS networks

Cited by 3 publications

References 4 publications

Minimizing Resource Blocking Rate in GoOBS

Minimizing Resource Blocking Rate in GoOBS

Sequential Task Anycast Scheduling in Optical Burst Switched Networks

Introduction to Optical Burst Switching

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