A Survey on Task Scheduling Techniques in Cloud Computing

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2016 by IJETT Journal
Volume-33 Number-9
Year of Publication : 2016
Authors : Anshul Ahluwalia, Vivek Sharma
DOI :  10.14445/22315381/IJETT-V33P287

Citation 

Anshul Ahluwalia, Vivek Sharma"A Survey on Task Scheduling Techniques in Cloud Computing", International Journal of Engineering Trends and Technology (IJETT), V33(9),448-452 March 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
In today`s scenario cloud computing is the most advanced technology due to its elasticity of resource provisioning and the pay-as-you-go model which enables customers to pay only according to their need. As cloud can be accessed anytime and anywhere only via commodity hardware reason its demand is increasing day by day. So it must provide high performance gain to the customer and on the similar front time should be beneficial for the Cloud Service Provider (CSP).To achieve this goal many challenges have to be faced. Task Scheduling is one of them which helps the CSP to meet the QoS requirements of the users and at the same time it increases its profit by optimum usage of the resources. To optimize the task in cloud the workload and shared resources must be scheduled in an efficient manner. A survey of various task scheduling algorithms with their pros and corns. We have also justified some of their shortcomings for further development.

 References

[1] D.I. George Amalarethinam, T. Lucia Agnes Beena,“Customer Facilitated Cost-based Scheduling (CFCSC) in Cloud” International Conference on Information and Communication Technologies (ICICT 2014) Science Direct Published by Elsevier B.V.© 2015
[2] Antony Thomas , Krishnalal G, Jagathy Raj V P , “Credit Based Scheduling Algorithm in Cloud Computing Environment” International Conference on Information and Communication Technologies (ICICT 2014) Science Direct Published by Elsevier B.V. © 2015.
[3] Mala Kalra , Sarbjeet Singh , “A review of metaheuristic scheduling techniques in cloud computing” on behalf of Faculty of Computers and Information, Cairo University. Science Direct Published by Elsevier B.V. © 2015.
[4] Atul Vikas Lakra, Dharmendra Kumar Yadav, “Multi- Objective Tasks Scheduling Algorithm for Cloud Computing Throughput Optimization” International Conference on Intelligent Computing, Communication & Convergence (ICCC- 2015)Conference Organized by Interscience Institute of Management and Technology,Bhubaneswar, Odisha, India Published by Elsevier B.V. © 2015.
[5] Nidhi Bansal, Amitab Maurya, Tarun Kumar, Manzeet Singh, Shruti Bansal, “Cost performance of QoS Driven task scheduling in cloud Computing” Third International Conference on Recent Trends in Computing (ICRTC 2015) Published by Elsevier B.V. © 2015.
[6] Alexander Visheratin, Mikhail Melnik, Nikolay Butakov and Denis Nasonov “Hard-deadline constrained workflows scheduling using metaheuristic algorithms” YSC 2015. 4th International Young Scientists Conference on Computational Science ITMO University, St. Petersburg, Russia. Published by Elsevier B.V. © 2015.
[7] Brototi Mondal, Kousik Dasgupta, Paramartha Dutta, “Load Balancing in Cloud Computing using Stochastic Hill Climbing- A Soft Computing Approach” Published by Elsevier B.V. © 2011.
[8] Huan Ma, Gaofeng Shen , Ming Chen and Jianwei Zhang, “Technologies based on Cloud Computing Technology” Published by ISSN: 2287-1233 ASTL Copyright © 2015 SERSC.
[9] N. Ch. S. N. Iyengar and Gopinath Ganapathy, “An Effective Layered Load Balance Defensive Mechanism against DDoS Attacks in Cloud Computing Environment” published by International Journal of Security and Its Applications 2015.
[10] Kook-Hyun Choi, Yang-Ha Chun, Se-Jeong Park, Yongtae Shin and Jong-Bae Kim “Method for Calculation of Cloud Computing Server Capacity” published by Advanced Science and Technology Letters Copyright © 2015 SERSC.
[11] Kushang Parikh, Nagesh Hawanna, Haleema.P.K, Jayasubalakshmi.R and N.Ch.S.N.Iyengar “Virtual Machine Allocation Policy in Cloud Computing Using CloudSim in Java” published at International Journal of Grid Distribution Computing Vol.8, No.1 (2015), ISSN: 2005-4262 IJGDC Copyright © 2015 SERSC.
[12] Ying Gao, Guang Yang, Yanglin Ma, Mu Lei and Jiajie Duan, “Research of Resource Scheduling Strategy in Cloud Computing” International Journal of Grid Distribution Computing Vol. 8 ISSN: 2005-4262 IJGDC Copyright ? 2015 SERSC.
[13] Mini Singh Ahuja, Randeep Kaur and Dinesh Kumar , “Trend Towards the Use of Complex Networks in Cloud Computing Environment” International Journal of Hybrid Information Technology ISSN: 1738-9968 IJHIT Copyright ? 2015 SERSC
[14] Hao Yuan, Changbing Li and Maokang Du,“Cellular Particle Swarm Scheduling Algorithm for Virtual Resource Scheduling of Cloud Computing” International Journal of Grid Distribution Computing Vol. 8, No. 3, (2015), pp. 299-308 ISSN: 2005-4262 IJGDC Copyright ? 2015 SERSC.
[15] Ryan P Taylor, Frank Berghaus, Franco Brasolin, Cristovao Jose ,Domingues Cordeiro, Ron Desmarais, Laurence Field, Ian Gable “The Evolution of Cloud Computing in ATLAS” ATL-SOFT-PROC-2015-049.
[16] L. Sreenivasulu Reddy, V. Vasu, M. Usha Rani “Scheduling Algorithm Applications to Solve Simple Problems in Diagnostic Related Health Care Centers” International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-2, Issue-2, May 2012.
[17] Mohsin Nazir, Nitish Bhardwaj, Rahul Kumar Chawda,Raj Gaurav Mishra “Cloud Computing: Current Research Challenges” Cloud Computing: Reviews, Surveys, Tools, Techniques and Applications – An Open-Access eBook by HCTL Open.
[18] Qing Xie, Di Zhu, Yanzhi Wang, and Massoud Pedram, Younghyun Kim, and Naehyuck Chang “An Efficient Scheduling Algorithm for Multiple Charge Migration Tasks in Hybrid Electrical Energy Storage Systems”
[19] Yogesh Sharma, Bahman Javadi, Weisheng Si “On the Reliability and Energy Efficiency in Cloud Computing”Proceedings of the 13th Australasian Symposium on Parallel and Distributed Computing (AusPDC 2015), Sydney, Australia, 27 - 30 January 2015.
[20] Anju Bala, Anu “Scrutinize : Fault Monitoring for Preventing System Failure in Cloud Computing” International Journal of Innovations & Advancement in Computer Science IJIACS ISSN 2347 – 8616 Volume 4, Special Issue May 2015.

Keywords
A survey of various task scheduling algorithms with their pros and corns.