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A Workflow Scheduling Method for Cloud Computing Platform

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Abstract

Scheduling in computing environments such as homogeneous and heterogonous is very challenging and faces various difficulties computationally. This computing needs an optimal method that decides how to allocate and execute the tasks on a computing platform, so, it generates an efficient result. Here, the tasks are connected to each other and depicted using DAG  which is extensively used in Cloud Scheduling modeling. Generally, cloud work on principal pay per resources uses basis. This paper presents a new scheme for scheduling of the tasks  in a cloud platform. The proposed algorithm uses heuristic-guided Breadth-First Search (BFS) which works on two steps process as first it the priority computation of the tasks and second is to assign these tasks to  the available virtual machines with an entry task as duplicate to all virtual machines. This leads to reducing the scheduling length of the task scheduling and it is the prime with workflow scheduling algorithm. This paper also discussed performance analysis of the new method with the heuristic algorithms using various well known metrics. The proposed method gives better results than the state of the art.

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(1) K. Chitharanjan and R. SenthilKumar, “A study of resource allocation techniques in cloud computing,” Int. J. Bus. Inf. Syst., vol. 36, no. 2, pp. 254–269, 2021. (2) G. Demirci, I. Marincic, and H. Hoffmann, “A divide and conquer algorithm for dag scheduling under power constraints,” in SC18: International Conference for High Performance Computing, Networking, Storage and Analysis, 2018, pp. 466–477. (3) D. M. Batista and N. L. S. da Fonseca, “Scheduling grid tasks in face of uncertain communication demands,” IEEE Trans. Netw. Serv. Manag., vol. 8, no. 2, pp. 92–103, 2011. (4) M. S. Kumar, I. Gupta and P. K. Jana, "Delay-based workflow scheduling for cost optimization in heterogeneous cloud system," 2017 Tenth International Conference on Contemporary Computing (IC3), Noida,(2017) pp. 1–6. (5) Gupta, I.; Kumar, M.S.; Jana, P.K.: Efficient workflow scheduling algorithm for cloud computing system: a dynamic priority-based approach. Arabian Journal for Science and Engineering,Vol.43, No.12,(2018) pp 7945–7960. (6) Nidhi Rajak and Diwakar Shukla,” Performance Analysis of Workflow Scheduling Algorithm in Cloud Computing Environment using Priority Attribute” International Journal of Advanced Science and Technology, Australia,Vol. 28, No. 16, (2019), pp. 1810 – 1831.

Code availability

http://www.cloudbus.org/gridsim/

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Authors and Affiliations

  1. Department of Computer Science and Applications, Dr.Harisingh Gour Central University, Sagar, M.P, India

    Nidhi Rajak & Ranjit Rajak

  2. Department of Electronics and Communication, University of Allahabad, Prayagraj (U.P.), India

    Shiv Prakash

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  1. Nidhi Rajak
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Rajak, N., Rajak, R. & Prakash, S. A Workflow Scheduling Method for Cloud Computing Platform. Wireless Pers Commun 126, 3625–3647 (2022). https://doi.org/10.1007/s11277-022-09882-w

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