Study of Scheduling Techniques in Cloud Computing Environment
Anagha Yadav, S.B.Rathod "Study of Scheduling Techniques in Cloud Computing Environment". International Journal of Computer Trends and Technology (IJCTT) V29(2):69-73, November 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
The Cloud Computing Technology is everywhere. With the Significant advances in Information and Communication Technology, Cloud computing technology is taking a large space in IT Industry. In Simple terms Cloud Computing can be depict as means of storing and accessing data and program over internet instead of your computer’s hard drive. Cloud Computing provides on demand self-service, Resource Pooling and Unambiguous network access. Scheduling is the task where the work specified by some means is assigned to certain resources that complete the work. The resources may be CPU time, IO devices, and many more. Different Schedulers are implemented to achieve load balancing, share system resources effectively, or to achieve quality of service. Scheduling of task and resources maximizes throughput , minimizes response time, minimize latency and maximizing fairness i.e. equal CPU time and workload for each process. Scheduling can be categorized as resource scheduling, task scheduling and workload scheduling. Task scheduling is the main concern in this paper. The objective of this study is to optimize workload utilization and task scheduling in cloud computing environment. This paper outlines a comparative study that has been done to assess these Scheduling models on the cloud environment.
References
[1] Arun Chandrasekaran and Mayank Kapoor – “Increasing Acceptance of Cloud Computing in the Public Sector” Frost & Sullivan 2011.
[2] Teena Mathew, K. Chandra Sekaran, John Jose "Study and Analysis of Various Task Scheduling Algorithms in the Cloud Computing Environment”. 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI).
[3] Khalid Bijon, Ram Krishnan, Ravi Sandhu "Mitigating Multi- Tenancy Risks in IaaS Cloud through Constraints-Driven Virtual Resource Scheduling" acm.org.SACMAT’15, June1–3, 2015, Vienna, Austria 2015 ACM.
[4] Dr. Amit Agarwal, Saloni Jain “Efficient Optimal Algorithm of Task Scheduling in Cloud Computing Environment” International Journal of Computer Trends and Technology (IJCTT) – volume 9 number 7– Mar 2014
[5] Raja Manish Singh, Sanchita Paul, Abhishek Kumar, Raja Manish Singh et al, “Task Scheduling in Cloud Computing: Review” (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (6) , 2014, 7940-7944
[6] Ram Kumar Sharma and Nagesh Sharma, "A Dynamic Optimization Algorithm for Task Scheduling in Cloud Computing With Resource Utilization", International Journal of Scientific Engineering and Technology, Volume No.2, Issue No.10, pp. 1062- 1068.
[7] S.Rekha and R.Santhosh Kumar “Priority Based Job Scheduling For Heterogeneous Cloud Environment” IJCSI International Journal of Computer Science Issues, Vol. 11, Issue 3, No 2, May 2014 IJCSI.org
[8] S.Nagadevi, K.Satyapriya, Dr.D.Malathy, “A Survey On Economic Cloud Schedulers For Optimized Task Scheduling”, International Journal of Advanced Engineering Technology, 2013. [9] Qi Cao, Zhi-BoWei, Wen-Mao Gong, “An Optimized Algorithm for Task Scheduling Based On Activity Based Costing in Cloud Computing”, IEEE, 2009.
[10] Huankai Chen, Frank Wang, Na Helian, Gbola Akanmu, “User-Priority Guided Min-Min Scheduling Algorithm For Load Balancing in Cloud Computing”, IEEE, 2013.
[11] Lipsa Tripathy, Rasmi Ranjan Patra “Scheduling in Cloud Computing” International Journal on Cloud Computing: Services and Architecture (IJCCSA) ,Vol. 4, No. 5, October 2014
[12] Gowtham Gajala, “Cloud Computing: A State of Art of the Cloud” International Journal of Computer Trends and Technology- volume4Issue1- 2013 ISSN: 2231-2803 http://www.internationaljournalssrg.org
[13] S.Sathyavani M.C.A, T.P.Senthilkumar M.C.A.,M.Phil., “Survey on Cloud Computing” International Journal of Computer Trends and Technology (IJCTT) – volume 4 Issue 9– Sep 2013 ISSN: 2231-2803 http://www.ijcttjournal.org
[14] Rajveer Kaur, Supriya Kinger, “Analysis of Job Scheduling Algorithms in Cloud Computing” International Journal of Computer Trends and Technology (IJCTT) – volume 9 number 7 – Mar 2014 ISSN: 2231-2803 http://www.ijcttjournal.org
Keywords
Cloud Computing, Scheduling Models, Workload, Priority, Task Scheduling, Minimized Response Time.