Google scholar arxiv informatics ads IJAIS publications are indexed with Google Scholar, NASA ADS, Informatics et. al.

Call for Paper


March Edition 2023

International Journal of Applied Information Systems solicits high quality original research papers for the March 2023 Edition of the journal. The last date of research paper submission is February 15, 2023.

Multi-Core Scheduling in Cloud Computing

Abhishek Kaushik, Inderveer Chana Published in Information Sciences

International Journal of Applied Information Systems
Year of Publication: 2012
© 2012 by IJAIS Journal
Download full text
  1. Abhishek Kaushik and Inderveer Chana. Article: Multi-Core Scheduling in Cloud Computing. International Journal of Applied Information Systems 4(9):1-3, December 2012. BibTeX

    	author = "Abhishek Kaushik and Inderveer Chana",
    	title = "Article: Multi-Core Scheduling in Cloud Computing",
    	journal = "International Journal of Applied Information Systems",
    	year = 2012,
    	volume = 4,
    	number = 9,
    	pages = "1-3",
    	month = "December",
    	note = "Published by Foundation of Computer Science, New York, USA"


I. T. industry keeps on looking for high processing power, the reason behind the introduction of multi-core processors. Cloud computing is also to adopting multi-core processors. Prologue of multi-core processors in cloud computing comes with discrepancies, one of which is resource scheduling. The virtual machine that runs on cloud fights for the core in multi-core processors. This leads to problems like starvation and under-utilization. There are several techniques for multi-core resource scheduling but none of present techniques focuses on resource scheduling of multi-core processors especially in cloud environment. A new approach is proposed in this paper which overcomes the problems which occurs when present multi-core resource scheduling techniques compared in the cloud environment.


  1. Gepner, P. ,Kowalik, M. F. ," Multi-Core Processors: New Way to Achieve High System Performance" , International Symposium on Parallel Computing in Electrical Engineering, 13-17 Sept. 2006, pp 9-13
  2. Multi-Core processors available at: http://spectrum. ieee. org/semiconductors/processors/multicore-cpus-processor-proliferation
  3. Barham, P. , Dragovic, B. , Fraser, K. , Hand, S. , Harris, T. , Ho, A. , Neugebauer, R. ,Pratt, I. ,War eld, A, " Xen and the art of virtualization. " In: SOSP '03: Proceedings
  4. Zhiyuan Shao,. Jian,Huang, Hai Jin, Kan Hu , "XenMVM: in proceedings of Exploring Potential Performance of Multi-Core System in Virtual Machine Environmen"t, Ubiquitous Information Technologies and Applications (CUTE), 2010 Proceedings of the 5th International Conference on , December 2010
  5. Jian Huang, Hai Jin, Kan Hu, Zhiyuan Shao," Adjusting Virtual Computing Resources in Threshing Cases "in Proceedings of Parallel, Distributed and Network-Based Processing (PDP), 2010 18th Euromicro International Conference on Real Time Systems, Pisa, April 2010
  6. Y. Zhang, A. Bestavros, M. Guirguis, I. Matta, and R. West, "Friendly Virtual Machines: Leveraging a Feedback-Control Model for Application Adaptation", Proceedings of the 1st ACM/USENIX Conference on Virtual Execution Environments (VEE'05), Chicago, Illinois, pp. 2-12, June 2005
  7. Yong Park, Dongkun Shin, "Task-aware Virtual Machine Scheduling for Multi-core Real-time Systems" School of Information and Communication Engineering, Sungkyunkwan University, Korea, June 2011.
  8. Kaushik, A. and Chana, I. , "Multi-Core: A cloud Perspecticve," International Conference on Recent Trends in Computing, Mechatronics and Communication, at Om Institute of Technology and Management, Hisar, page no. 417 - 420, ISBN 978-81-923446-0-7, February, 2012.
  9. Calheiros, R. , Ranjan, R. , Beloglazov, A. , De Rose, C. and Buyya, R. ,"Cloudsim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms," Software: Practice and Experience, vol. 41, no. 1, pp. 23–50, 2011.
  10. Dong-Won Park, Swaminathan Natarajan, Arkady Kanevsky, Journal of Systems and Software, Volume: 33, Issue: 1, pp 57-63, 1996
  11. Patel, P. , Ranabahu, A. and Sheth, A. 2009. Service Level Agreement in Cloud Computing. Wright State University (Sept. 5. 2009).


Cloud computing, multi-core processors, scheduling