CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

IAR: Improved Advance Reservation in IaaS Clouds

by Vivek Shrivastava, Payal Gupta, D. S. Bhilare
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 152 - Number 2
Year of Publication: 2016
Authors: Vivek Shrivastava, Payal Gupta, D. S. Bhilare
10.5120/ijca2016911767

Vivek Shrivastava, Payal Gupta, D. S. Bhilare . IAR: Improved Advance Reservation in IaaS Clouds. International Journal of Computer Applications. 152, 2 ( Oct 2016), 4-9. DOI=10.5120/ijca2016911767

@article{ 10.5120/ijca2016911767,
author = { Vivek Shrivastava, Payal Gupta, D. S. Bhilare },
title = { IAR: Improved Advance Reservation in IaaS Clouds },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2016 },
volume = { 152 },
number = { 2 },
month = { Oct },
year = { 2016 },
issn = { 0975-8887 },
pages = { 4-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume152/number2/26289-2016911767/ },
doi = { 10.5120/ijca2016911767 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:57:02.734143+05:30
%A Vivek Shrivastava
%A Payal Gupta
%A D. S. Bhilare
%T IAR: Improved Advance Reservation in IaaS Clouds
%J International Journal of Computer Applications
%@ 0975-8887
%V 152
%N 2
%P 4-9
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud data centers have a large number of resources. Management of such huge amount of resources for a large number of consumers requires fail-safe algorithms and leasing policies. Advance Reservation (AR) leasing policy is a rigid policy, which needs resource and consumer locking at a very early point of time, while advanced reserved lease can be rejected at actual point of time when resources are required. This problem can be dealt with proposed Improved Advance Reservation (IAR) algorithm and leasing policy , which uses negotiation and provide half capacity of the requested number of resources, instead of rejecting a lease if consumer agrees for the same. Experimental results show that the proposed work maximize resource utilization and acceptance of requests in comparison with existing algorithms in Haizea.

References
  1. Borja, S., Ruben, M.S. and Ignacio, M.T., 2009. An Open Source Solution for Virtual Infrastructure Management in Private and Hybrid Clouds. IEEE Internet Computing.
  2. Amazon EC2, http://aws.amazon.com/ec2/ [accessed Sep. 8, 2014].
  3. Google Cloud Platform, https://cloud.google.com/ [accessed Oct. 12, 2014].
  4. Microsoft Azure , http://azure.microsoft.com/en-in / [accessed Aug. 18, 2014].
  5. Nurmi, D. Wolski, R. Grzegorczyk, C. Obertelli, G. Soman, S. Youseff, L. and Zagorodnov, D. 2009. The Eucalyptus Open-source Cloud-Computing System. In Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid.
  6. Nimbus, http://www.nimbusproject.org/ [accessed Sep. 8, 2014].
  7. Sotomayor, B. Keahey, K. and Foster, I. 2006. Overhead Matters: A Model for Virtual Resource Management. In Proceedings of the 2nd International Workshop on Virtualization Technology in Distributed Computing, IEEE Computer Society.
  8. Sotomayor, B. Montero, R. Llorente, I. and Foster, I. 2009. Resource leasing and the art of suspending virtual machines. In Proceedings of the IEEE International Conference on HPCC-09.
  9. Sotomayor, B. Montero, R. Llorente, and I. Foster, I. 2008. Capacity leasing in cloud systems using the OpenNebula engine. In Proceedings of the Workshop on Cloud Computing and Applications.
  10. Sotomayor, B. Keahey, K. and Foster, I. 2008. Combining Batch Execution and Leasing Using Virtual Machines. In Proceedings of the 17th International Symposium on High performance distributed computing (HPDC '08). ACM.
  11. Nathani, A. Chaudhary, S. and Somani, G. Policy based resource allocation in IaaS cloud. Future Generation Computer Systems, 28(1), (Jan. 2012), 94-103.
  12. Akhani, J. Chuadhary, S. and Somani, G. 2011. Negotiation for resource allocation in IaaS cloud. In Proceedings of the Fourth Annual ACM Bangalore Conference.
  13. Shrivastava, V. and Bhilare, D.S. Algorithms to Improve Resource Utilization and Request Acceptance Rate in IaaS Cloud Scheduling. International Journal of Advanced Networking & Applications, 3(5), (Nov. 2012), 1367-1374.
  14. Shrivastava, V. Bhilare, D. S. 2014. COMMA: A Cost Oriented Market and Migration Aware Leasing Policy and Algorithm in IaaS Clouds. In Proceedings of the 2014 International Conference on Information and Communication Technology for Competitive Strategies (ICTCS '14). ACM.
  15. Shrivastava, V. and Bhilare, D.S. CBUD Micro: A Micro Benchmark for Performance Measurement and Resource Management in IaaS Clouds. International Journal of Emerging Technology and Advanced Engineering 3(11), (Nov. 2013), 433-437.
  16. Shrivastava, V. and Bhilare, D.S. CRI: A Novel Rating Based Leasing Policy and Algorithm for Efficient Resource Management in IaaS Clouds. International Journal of Computer Science and Information Technologies, 3(2014), (Jun. 2014), 4226- 4230.
  17. Shrivastava, V. and Bhilare, D.S. mEDF: Deadline Driven Algorithm for Minimizing Response Time and Completion Time in IaaS Clouds. International Journal of Application or Innovation in Engineering and Management (Jun. 2014) 3(6), 16-22.
  18. Shrivastava, V. and Bhilare, D.S. 2015. SAFETY: A Framework for Secure IaaS Clouds. International Journal of Advanced Networking and Applications. (May 2015), 6(6), 2549-2555.
  19. Shrivastava, V. Bhilare, D.S. 2015. A Security Aware Leasing Policy and Algorithm for IaaS Clouds. International Journal of Engineering Research and Technology (Jun. 2015) 4(6), 886-891.
Index Terms

Computer Science
Information Sciences

Keywords

IAR Leasing Policies Resource Management IaaS Cloud

Powered by PhDFocusTM