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Reseach Article

Dynamic Capacity Planning with Comprehensive Formation of SLAs in Clouds

by Mahfoudh Alasaly, Hassan Mathkour, Issam Al-azzoni
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 117 - Number 19
Year of Publication: 2015
Authors: Mahfoudh Alasaly, Hassan Mathkour, Issam Al-azzoni
10.5120/20666-3431

Mahfoudh Alasaly, Hassan Mathkour, Issam Al-azzoni . Dynamic Capacity Planning with Comprehensive Formation of SLAs in Clouds. International Journal of Computer Applications. 117, 19 ( May 2015), 46-50. DOI=10.5120/20666-3431

@article{ 10.5120/20666-3431,
author = { Mahfoudh Alasaly, Hassan Mathkour, Issam Al-azzoni },
title = { Dynamic Capacity Planning with Comprehensive Formation of SLAs in Clouds },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 117 },
number = { 19 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 46-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume117/number19/20666-3431/ },
doi = { 10.5120/20666-3431 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:59:52.204772+05:30
%A Mahfoudh Alasaly
%A Hassan Mathkour
%A Issam Al-azzoni
%T Dynamic Capacity Planning with Comprehensive Formation of SLAs in Clouds
%J International Journal of Computer Applications
%@ 0975-8887
%V 117
%N 19
%P 46-50
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The provision of service enabled connectivity is the significant art of clouds. The long-held dream of computing as a utility has become reality in the era of cloud computing. Cloud users are now able to run and access their applications from anywhere in the world on demand. The proposed research considers dynamic capacity planning for cloud systems. The aim is to dynamically adapt computing capacity such that Service Level Agreements (SLAs) are continuously met while minimizing the total costs incurred in running the cloud services. However, research in this regard is still at its infancy. Scalability, resource heterogeneity, workload dynamicity, resource sharing and virtualization are the main challenges that need to be overcome to have effective and trustworthy schemes for capacity management, that play a vital role in cloud computing. The work in this approach is based on developing a capacity planning scheme to ensure that high-level performance targets (SLAs) are continuously met. The scheme applies threshold-based techniques to ensure meeting the SLAs while minimizing the total incurred costs. The approach is designed to work on cloud environments and hence must address these environments specific challenges.

References
  1. Peter, M and Timothy, G. 2011. The NIST Definition of Cloud Computing.
  2. Shehab, M. , Sharp, L. , et. al. 2004. Enterprise resource planning, Business Process Management Journal, Vol. 10 No. 4, 2004, pp. 359-386, Emerald Group Publishing Limited 1463-7154. DOI 10. 1108/14637150410548056.
  3. Themistocleous, M. , Irani, Z. and O'Keefe, R. 2001. ERP and application integration: exploratory survey, Business Process Management Journal, Vol. 7 No. 3, pp. 195-204.
  4. Danilo, A. , Sara, C. , and Barbara P. 2011. Flexible distributed capacity allocation and load redirect algorithms for cloud systems. In Proceedings of the IEEE International Conference on Cloud Computing, 2011, 163-170.
  5. Jing, B. , Zhiliang, Z. , Ruixiong,T. , and Qingbo, W. 2010. Dynamic provisioning modeling for virtualized multi-tier applications in cloud data center. In Proceedings of the IEEE International Conference on Cloud Computing, 2010, 370-377.
  6. Nilabja, R. , Abhishek, D. , and Aniruddha, G. 2011. Efficient Autoscaling in the Cloud using Predictive Models for Workload Forecasting. In Proceedings of the IEEE International Conference on Cloud Computing, 2011, 500-507.
  7. Rahul, S. , Upendra S. , Emmanuel, C. , and Prashant, S. 2010. Autonomic mix-aware provisioning for non-stationary data center workloads. In Proceedings of the IEEE/ACM International Conference on Autonomic computing, 2010, 21-30.
  8. Issam, A. , and Derrick, K. , 2012. Cost-Aware Performance Modeling of Multi-Tier Web applications in the Cloud. In proceedings of the international conference networked digital technology 2012.
  9. Dutreilh, X. , Rivierre, N. , Moreau, A. , Malenfant, J. , Truck, I. 2010. From data center resource allocation to control theory and back. In: Proceedings of the Conference on Cloud Computing, 2010, 410- 417.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud computing CPU Utilization Response Time Load balancer EC2.