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On the improvement of the network QoS in a grid environment

Published: 27 November 2006 Publication History

Abstract

Grid systems are highly variable environments, made of a series of independent organizations that share their resources, creating what is known as virtual organization, VO. This variability makes quality of service (QoS) highly desirable, though it is very complex to achieve due to the large scale of interconnected networks. Entities entrusted with the care of the users' interests in a Grid, are known as meta-schedulers or Grid Schedulers [2] [1]. These entities usually take into account the power of computing resources in order to decide which resource will run an user's job, but do not pay attention to the interconnecting network. The provision of network QoS in a Grid environment is the topic of interest of this work, and what we want to do is to develop a meta-scheduler that pays attention to the network when making decisions. This new entity, known as grid network broker, GNB, will be developed at first using a simulation tool. The simulation tool that we have chosen is GridSim [5], because it provides us with a good infrastructure, including an implementation of Differentiated Services [3]. The implementation of differentiated services in GridSim is the Self Clocked Fair Queueing (SCFQ) scheduler [4]. A SCFQ scheduler can provide differentiated service to traffic by changing the weights associated with a certain class of traffic. The higher the weight of a class of traffic is, the better treatment it receives.Our aim is firstly develop our GNB on a simulator and, when our model is tested, we will proceed with its implementation on a real grid environment.

References

[1]
Condor-G Project web site. Available at http://www.cs.wisc.edu/condor/condorg/.
[2]
GridWay Project web site, Available at http://www.gridway.org/.
[3]
D. Black et al. RFC 2475: An Architecture for Differentiated Services, 1998.
[4]
S. J. Golestani. A self-clocked fair queueing scheme for broadband applications. In INFOCOM, pages 636--646, 1994.
[5]
A. Sulistio, G. Poduval, R. Buyya, and C.-K. Tham. Constructing a grid simulation with differentiated network service using GridSim. In 6th International Conference on Internet Computing (ICOMP'05), June 2005.

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  • (2007)Extending GridSim with an architecture for failure detectionProceedings of the 13th International Conference on Parallel and Distributed Systems - Volume 0110.1109/ICPADS.2007.4447756(1-8)Online publication date: 5-Dec-2007

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cover image ACM Conferences
MCG '06: Proceedings of the 4th international workshop on Middleware for grid computing
November 2006
109 pages
ISBN:1595935819
DOI:10.1145/1186675
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 November 2006

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Author Tags

  1. GridSim
  2. grid network broker (GNB)
  3. grid systems
  4. network QoS

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Middleware06
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Middleware06: 7th International Middleware Conference
November 27 - December 1, 2006
Melbourne, Australia

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Overall Acceptance Rate 14 of 36 submissions, 39%

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Cited By

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  • (2007)Extending GridSim with an architecture for failure detectionProceedings of the 13th International Conference on Parallel and Distributed Systems - Volume 0110.1109/ICPADS.2007.4447756(1-8)Online publication date: 5-Dec-2007

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