Development of an Enhanced Checkpointing Technique in Grid Computing using Programmer Level Controls

Development of an Enhanced Checkpointing Technique in Grid Computing using Programmer Level Controls.

ABSTRACT

Grid computing is a collection of computer resources from multiple locations assembled to provide computational services, storage, data, or application services.

Grid computing users gain access to computing resources with little or no knowledge of where those resources are located or what the underlying technologies, hardware, operating system, and so on are. Reliability and performance are among the key challenges to deal with in grid computing environments.

Accordingly, grid scheduling algorithms have been proposed to reduce the likelihood of resource failure and to reduce the overhead of recovering from resource failure.

Checkpointing is one of the fault-tolerance techniques when resources fail. This technique reduces the work lost due to resource faults but can introduce significant runtime overhead. This research provided an enhanced checkpointing technique that extends recent research and aims at lowering the runtime overhead of checkpoints.

The results of the simulation using GridSim showed that keeping the number of resources constant and varying the number of gridlets, improvements of up to 9%, 11%, and 11% on throughput, make-span, and turnaround time, respectively, were achieved while varying the number of resources and keeping the number of gridlets constant, improvements of up to 8%, 11%, and 9% on throughput, makespan and turnaround time, respectively, were achieved.

These results indicate the potential usefulness of our research contribution to applications in practical grid computing environments.

INTRODUCTION

Background of the Study

Grid computing uses a computer network in which each computer’s resources are shared with every other computer in the system.

In view of this, computing becomes pervasive and individual users (or client applications) gain access to computing resources (processors, storage, data, applications, and so on) as needed with little or no knowledge of where those resources are located or what the underlying technologies, hardware, operating system, and so on are.

The main objective in grid scheduling is to finish a job or application as soon as possible (Harshadkumar and Vipul, 2014). Fault tolerance is an important property for large scale computational grid systems, where geographically distributed nodes cooperate to execute a task in order to achieve a high level of reliability and availability.

A common approach to guarantee an acceptable level of fault tolerance in scientific computing is to use check pointing. When a task fails it can be restarted from its most recently check pointed state rather than from the beginning, which reduces the system loss and ensures reliability (Bakhta and Ghalem, 2014).

Motivation

The ability to checkpoint a running application and restart it later can provide many useful benefits like fault recovery, advanced resource sharing, dynamic load balancing and improved service availability.

A fault-tolerant service is essential to satisfy QoS requirements in grid computing. However, excessive check pointing results in performance degradation. Thus there is the need to improve the performance by reducing the number of times that check pointing is invoked.

REFERENCES

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Agarwal, S., Garg , R., Gupta, M., and Moreira, J. (2004). Adaptive Incremental Checkpointing for massively Parallel Systems.
AlKiswany, S., Ripeanu, , M., Vazhkudai, S. S., and Gharaibeh, A. (2008). stdchk: a checkpoint storage system for desktop grid computing. in Proceedings of the 28th International Conference on Distributed Computing Systems, (pp. 613-624).
Altameem, T. (2013). Fault Tolerance Techniques in Grid Computing Systems. International Journal of Computer Science and Information Technologies, 5.
Alvisi , L. , Elnozahy, E., Rao, , S., Husain, S. A., and Mel, A. D. (1999, June). An analysis of communication induced checkpointing.
Amoon. (2012, 11). A Fault Tolerant Scheduling System Based on Check pointing for Computational Grids. Vol. 48.

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