A taxonomy of market‐based resource management systems for utility‐driven cluster computing

Yeo, Chee Shin; Buyya, Rajkumar

doi:10.1002/spe.725

Cited by 92 publications

(75 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A cluster system is made up of independent computers connected together via networks with high-speed. Clusters are able to handle complex and large computations by simultaneously working on multiple computers on the same problem or a portion of it [6] [7]. Cluster systems are capable of competing with the performance of supercomputers at lower costs [8].…”

Section: Clusteringmentioning

confidence: 99%

Green Cloud Computing: A Review

Masoud¹,

AlShamrani²,

AlGhamdi³

et al. 2017

IJCA

View full text Add to dashboard Cite

Cloud computing has revolutionized the way large data is stored and handled by the virtualization of servers and data centers to make them more efficient. However, these IT resources consume huge amounts of power and energy, ultimately becoming a vital source of CO2 emission. This has brought upon the need for Green Cloud Computing to make IT resources both energy efficient and operating at a low cost. In order to reach optimal solutions for green cloud computing, the power efficiency of the Cloud needs to be thoroughly analyzed. The aim of this review is to underscore some of the most effective ways to achieve green cloud computing such as scheduling, clustering, virtualization, proportional computing, and other energy conserving methods.Although the environmental impact is high for green cloud computing, it still faces challenges with regards to security and connectivity.

show abstract

Section: Clusteringmentioning

confidence: 99%

Green Cloud Computing: A Review

Masoud¹,

AlShamrani²,

AlGhamdi³

et al. 2017

IJCA

View full text Add to dashboard Cite

show abstract

“…Since then, RA problems has been investigated in areas varying from parallel and distributed systems [116,140], to operations research [140].…”

Section: Resource Brokermentioning

confidence: 99%

“…• Yeo et al [116] classified and compared the taxonomy of market-based RMS in Cluster computing, while the authors in this paper focus on RA mechanisms over the Grid.…”

Section: Brief Comparison With the Existing Surveys On Grid Resource mentioning

confidence: 99%

“…In a decentralized organization, the control is distributed among multiple nodes with each one making its independent decisions [116] and there is no central authority that has full knowledge of the system. The decentralized organization is more robust, Table 1 gives a comparison of the above mentioned organizations based on their common features.…”

Section: Resource Managementmentioning

confidence: 99%

See 1 more Smart Citation

Survey on Grid Resource Allocation Mechanisms

et al. 2014

View full text Add to dashboard Cite

Grid is a distributed high performance computing paradigm that offers various types of resources (like computing, storage, communication) to resource-intensive user tasks. These tasks are scheduled to allocate available Grid resources efficiently to achieve high system throughput and to satisfy A. Y. Zomaya University of Sydney, Sydney, Australia user requirements. The task scheduling problem has become more complex with the ever increasing size of Grid systems. Even though selecting an efficient resource allocation strategy for a particular task helps in obtaining a desired level of service, researchers still face difficulties in choosing a suitable technique from a plethora of existing methods in literature. In this paper, we explore and discuss existing resource allocation mechanisms for resource allocation problems employed in Grid systems. The work comprehensively surveys Gird resource allocation mechanisms for different architectures (centralized, distributed, static or dynamic). The paper also compares these resource allocation mechanisms based on their common features such as time complexity, searching mechanism, allocation strategy, optimality, operational environment and objective function they adopt for solving computing-and data-intensive applications. The comprehensive analysis of cutting-edge research in the Grid domain presented in this work provides readers with an understanding of essential concepts of resource allocation mechanisms in Grid systems and helps them identify important and outstanding issues for further investigation. It also helps readers to choose the most appropriate mechanism for a given system/application.

show abstract

“…Generally speaking, the quality of service (QoS) [7] include a variety of constraint which may involve time, cost , reliability, credibility, safety, etc [8]. Among them, the completing time and cost of jobs are usually the two important aspects.…”

Section: Introductionmentioning

confidence: 99%

A Novel Resource Allocation Strategy of Virtual Cluster Based on QOS

Liu¹

2012

Proceedings of the 2nd International Conference on Computer Application and System Modeling

View full text Add to dashboard Cite

Abstract-How to effectively allocate computer resource to satisfy the users' different QoS requirement is one of most important issues of building virtual high performance computing environment. To address this problem, this paper presents a novel resource allocate strategy in which the slowdown degree of users' job plays the key role of resource allocation. To implement the strategy, this paper also presents a Mixed Bin Packing Algorithms which is the combination of traditional Bin-Packing Algorithm and some general Algorithms. Experimental results show that the Mixed Bin Packing Algorithm is more effective than the previous algorithms, especially in a large scale application background.

show abstract

A taxonomy of market‐based resource management systems for utility‐driven cluster computing

Cited by 92 publications

References 39 publications

Green Cloud Computing: A Review

Green Cloud Computing: A Review

Survey on Grid Resource Allocation Mechanisms

A Novel Resource Allocation Strategy of Virtual Cluster Based on QOS

Contact Info

Product

Resources

About