Survey on Resource Allocation Policy and Job Scheduling Algorithms of Cloud Computing1

Abstract

Cloud computing is the product of the evolution of calculation. It is a new distributed computing model. As more and more people put into the research and applications on cloud computing, the technology of computing becomes more and more widely used. Cloud computing has a huge user group. It has to deal with a large number of tasks. How to make appropriate decisions when allocating hardware resources to the tasks and dispatching the computing tasks to resource pool has become the main issue in cloud computing. This paper is based on the current situation of resource allocation policy and job scheduling algorithms under cloud circumstance. It summarizes some methods to improve the performance, including dynamic resource allocation strategy based on the law of failure, dynamic resource assignment on the basis of credibility, ant colony optimization algorithm for resource allocation, dynamic scheduling algorithm based on threshold, optimized genetic algorithm with dual fitness and improved ant colony algorithm for job scheduling

Recent advancements in resource allocation techniques for cloud computing environment: a systematic review

“…The research work carried out in Huang et al [22] present the current resource allocation policy, job scheduling algorithms along the concern issues of cloud environment and propose a methodology based on the solution. However, performance improvements concern with detail resource allocation strategy consists of failure law, vibrant resources for various assignments concerned with integrity ant colony optimization algorithm for resource allocation.…”

“…• Optimal resource allocation: Due to the constantly increasing demands of the cloud users for services or resources. It is very challenging to distribute the resources precisely to the cloud users' demands in order to fulfill their requirements and also gives the guarantee of QoS to the cloud users regarding to the SLA by the cloud providers [5,6,19,21,22,35,51,55,76,79,83,112]. • QoS aware Resource Allocation: is required for high performance, availability of resources, handle of conflicts of resource demands, fault-tolerance and reliability [53,68,80,118,119,130].…”

Performance Evaluation of Job Allocation and Load Balancing Methods Using Meta-Heuristic Function in Public Cloud Network

“…Now a days used dynamic algorithm such as genetic algorithm, ant colony optimization and many more algorithm based on heuristic function. Various authors and researcher used a concept of fuzzy logic and other classical set theory approach [23][24] [27].…”

A Real Time Memory Resource Management Algorithm in E-health Systems

“…Lu Huang, Hai-shan Chen [10] also presented system architecture for users to make resource requests in a cost effective manner, and discussed a scheduling scheme that provides good performance and fairness simultaneously in a heterogeneous cluster, by adopting progress share as a share metric.…”