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Resource Selection in Large-Scale Distributed System Using Dynamic Task Sharing

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4 Author(s)
Dae Gun Kim ; Sch. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea ; Zhong Yuan Li ; Sung Soo Moon ; Hee Yong Youn

Large-scale distributed system provides an attractive scalable infrastructure for network applications. In such environment there exist large sets of heterogeneous and geographically distributed resources. These resources can be aggregated as a virtual computing platform for executing large-scale scientific applications. Among numerous optional resources, selecting appropriate resources for applications is challenging and affected by many factors. The loosely coupled nature of large-scale distributed environment makes data access unpredictable and instability. Slow allocation process may offset the benefit obtained by running a job on a fast node. Besides, the operation condition of a resource provider changes rapidly. The status of job execution and computing capability of a resource provider need to be considered dynamically. In this paper we present an approach of dynamic task-sharing based on the record of previous data download and current execution status of resource providers to select the appropriate one or more providers to execute a job together. The proposed approach can also avoids single point failure and server overload problem.

Published in:

Green Computing and Communications (GreenCom), 2010 IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom)

Date of Conference:

18-20 Dec. 2010