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

Madni, Syed Hamid Hussain; Latiff, Muhammad Shafie Abd; Coulibaly, Yahaya; Abdulhamid, Shafií Muhammad

doi:10.1007/s10586-016-0684-4

Cited by 144 publications

(92 citation statements)

References 149 publications

(282 reference statements)

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“…Here, T max , T min and T a vg signify the maximum, minimum and average overall execution time of task among total VMs, correspondingly [14, 81]. …”

Section: Performance Metricsmentioning

confidence: 99%

Performance comparison of heuristic algorithms for task scheduling in IaaS cloud computing environment

et al. 2017

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Cloud computing infrastructure is suitable for meeting computational needs of large task sizes. Optimal scheduling of tasks in cloud computing environment has been proved to be an NP-complete problem, hence the need for the application of heuristic methods. Several heuristic algorithms have been developed and used in addressing this problem, but choosing the appropriate algorithm for solving task assignment problem of a particular nature is difficult since the methods are developed under different assumptions. Therefore, six rule based heuristic algorithms are implemented and used to schedule autonomous tasks in homogeneous and heterogeneous environments with the aim of comparing their performance in terms of cost, degree of imbalance, makespan and throughput. First Come First Serve (FCFS), Minimum Completion Time (MCT), Minimum Execution Time (MET), Max-min, Min-min and Sufferage are the heuristic algorithms considered for the performance comparison and analysis of task scheduling in cloud computing.

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“…Here, T max , T min and T a vg signify the maximum, minimum and average overall execution time of task among total VMs, correspondingly [14, 81]. …”

Section: Performance Metricsmentioning

confidence: 99%

Performance comparison of heuristic algorithms for task scheduling in IaaS cloud computing environment

et al. 2017

Self Cite

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“…30 In other words, an auction is efficient when the victorious bidder has best bid to offer. 65 Experimental platform (EP): Every cloud resource allocation mechanisms method uses some real test bed or cloud environment to validate their mechanism. Accordingly, there is a need for task scheduling to minimize the energy consumption in the cloud systems.…”

Section: Economic Efficiency (Ee)mentioning

confidence: 99%

Auction‐based resource allocation mechanisms in the cloud environments: A review of the literature and reflection on future challenges

Sheikholeslami

Navimipour

2018

Concurrency and Computation

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Cloud computing is an Internet-based computing and networking model, with elasticity and scalability capabilities where the services are delivered to its users in a non-demand style. In this computing paradigm, the request and response between users and providers must be managed using the resource allocation strategies. Therefore, allocating the provided resources to the users based on their needs is the important challenge in this environment. Also, an auction in the cloud is a process of buying and vending the cloud services by offering them up for bid and then selling the service to the highest bidder. However, to the best of our knowledge, there has not been any comprehensive and detailed paper about reviewing the state-of-the-art mechanisms on this important topic and providing open issues as well. Hence, this paper provides a comprehensive survey and review of the auction-based resource allocation mechanisms, which have been employed in the cloud environments up to now. Also, we classified the important cloud resource allocation mechanisms into four categories: one-sided, double-sided, combinatorial, and other types of auction-based mechanisms. Moreover, we reviewed the main progress in these four categories and defined the new issues. Finally, the paper offers the differences among reviewed mechanisms as well as guidelines for future investigation.

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“…A lot of academic and industrial research [24], [25] has been conducted in this field to enhance the quality of cloud. As our work is specific to VMP, in this section some of the work related to VMP in cloud computing is reviewed.…”

Section: Related Workmentioning

confidence: 99%

FFD Variants for Virtual Machine Placement in Cloud Computing Data Centers

Soomro¹,

Shaikh²,

Kazi³

2017

ijacsa

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

Cited by 144 publications

References 149 publications

Performance comparison of heuristic algorithms for task scheduling in IaaS cloud computing environment

Performance comparison of heuristic algorithms for task scheduling in IaaS cloud computing environment

Auction‐based resource allocation mechanisms in the cloud environments: A review of the literature and reflection on future challenges

FFD Variants for Virtual Machine Placement in Cloud Computing Data Centers

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