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IJSTR >> Volume 8 - Issue 11, November 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Automated Mechanism To Minimize SLA Violations In Cloud Environment

[Full Text]

 

AUTHOR(S)

Gurpreet Singh, Manisha Malhotra, Ajay Sharma

 

KEYWORDS

Automated, Cloud, Resource Provisioning, SLA, QoS..

 

ABSTRACT

Cloud deployment is increasing day by day which will surge the demand of effective resource provisioning and consolidation of virtual machines in data centers. Automatically it also concerns with the quality of service (QoS) and service level agreement (SLA) defined by user. To reduce SLA violations provider has to ensure the appropriate usage of resources which will directly increase the QoS. Due to more usage of cloud, there is a need to address on these issues. This paper presents the mechanism to minimize the SLA violations in cloud environment.

 

REFERENCES

[1]. Beloglazov, A., Abawajy, J. and Buyya, R., 2012. Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing. Future generation computer systems, 28(5), pp.755-768.
[2]. Singh, S. and Chana, I., 2016. QoS-aware autonomic resource management in cloud computing: a systematic review. ACM Computing Surveys (CSUR), 48(3), p.42.
[3]. Varalakshmi, P., Ramaswamy, A., Balasubramanian, A. and Vijaykumar, P., 2011, July. An optimal workflow based scheduling and resource allocation in cloud. In International Conference on Advances in Computing and Communications (pp. 411-420). Springer, Berlin, Heidelberg.
[4]. Herbst, N.R., Huber, N., Kounev, S. and Amrehn, E., 2014. Self‐adaptive workload classification and forecasting for proactive resource provisioning. Concurrency and computation: practice and experience, 26(12), pp.2053-2078.
[5]. Singh, A., Juneja, D. and Malhotra, M., (2017). A novel agent based autonomous and service composition framework for cost optimization of resource provisioning in cloud computing. Journal of King Saud University-Computer and Information Sciences, 29(1), pp.19-28.
[6]. Singh, A. and Malhotra, M., 2015. Agent based resource allocation mechanism focusing cost optimization in cloud computing. International Journal of Cloud Applications and Computing (IJCAC), 5(3), pp.53-61.
[7]. Singh, G., Malhotra, M. and Sharma, A., 2019, April. An Agent Based Virtual Machine Migration Process for Cloud Environment. In 2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU) (pp. 1-4). IEEE.
[8]. Singh, G., Malhotra, M. and Sharma, A., 2019. A Comprehensive Study on Virtual Machine Migration Techniques of Cloud Computing. In Applications of Computing, Automation and Wireless Systems in Electrical Engineering (pp. 591-603). Springer, Singapore.