Scheduling in Virtualized Grid Environment Using Hybrid Approach

Selvi, S. Thamarai; Sathiabhama, Ponsy R. K.; Architha, S; Kaarunya, T; K, Vinothini

doi:10.5121/ijgca.2010.1101

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…Proposed algorithm in [12] uses virtualization technique to combine the advantages of standard algorithms such as shortest processing time and earliest deadline first. With the help of virtualization a dynamic user defined environment is created, so after encountering unavailability of resources, the possibility of rejecting a job is so low.…”

Section: Related Workmentioning

confidence: 99%

Fault Tolerance in Grid using Ant colony Optimization and Directed Acyclic Graph

Modiri¹,

Analoui²,

Jabbehdari³

2011

IJGCA

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By day to day developing the grid systems, it is necessary to apply new methods for allocating the resources to achieving the high performance in heterogeneous computing environment. This paper aims to seeking for a new approach by which one can allocate the tasks using a modified version of Ant Colony Optimization algorithm such that this algorithm cannot be involved in local minimum. Tasks will be entered to the system by Directed Acyclic Graph (DAG). This method tried to allocate the tasks to the processors in short time

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Section: Related Workmentioning

confidence: 99%

Fault Tolerance in Grid using Ant colony Optimization and Directed Acyclic Graph

Modiri¹,

Analoui²,

Jabbehdari³

2011

IJGCA

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A fault tolerent approach in scientific workflow systems based on cloud computing

Ganga¹,

Karthik²

2013

2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering

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Fault Tolerance is a configuration that prevents a computer or network device from failing in the event of unexpected problem or error such as hardware failure, link failure, unauthorized access, variations in the configuration of different systems and system running out of memory or disk space. The integration of fault tolerance measures with scheduling gains much importance. Scientific workflows use distributed heterogeneous resources in cloud interface are often hard to program. This paper explains task replication technique and simulation of cloud computing systems.

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Resource Scheduling in Cloud Environmet: A Survey

Mangla¹,

Singh²,

Rana³

2016

Adv. Sci. Technol. Res. J.

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Cloud Computing offers the avant-garde services at a stretch that are too attractive for any cloud user to ignore. With its growing application and popularization, IT companies are rapidly deploying distributed data centers globally, posing numerous challenges in terms of scheduling of resources under different administrative domains. This perspective brings out certain vital factors for efficient scheduling of resources providing a wide genre of characteristics, diversity in context of level of service agreements and that too with user-contingent elasticity. In this paper, a comprehensive survey of research related to various aspects of cloud resource scheduling is provided. A comparative analysis of various resource scheduling techniques focusing on key performance parameters like Energy efficiency, Virtual Machine allocation and migration, Cost-effectiveness and Service-Level Agreement is also presented.

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Scheduling in Virtualized Grid Environment Using Hybrid Approach

Abstract: ABSTRACT

Cited by 3 publications

References 8 publications

Fault Tolerance in Grid using Ant colony Optimization and Directed Acyclic Graph

Fault Tolerance in Grid using Ant colony Optimization and Directed Acyclic Graph

A fault tolerent approach in scientific workflow systems based on cloud computing

Resource Scheduling in Cloud Environmet: A Survey

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