A Framework for Management and Monitoring of QoS-based Cloud Services
Keywords:
Cloud Service Monitoring, Service Level Agreement, Qos, Cloud Service, QoS ManagementAbstract
Cloud computing provides dynamic and scalable environment for the benefit of end users to offer services which are known as cloud services. Due to on- demand, scalability low operational cost benefits the customers using cloud service is increasing day by day. Thus, the biggest and major challenges in the cloud environment is maintaining the Quality-of-Service (QoS), where cloud provider has to manage the resources in such a way that they will able to provide promised QoS metrics such as, performance, availability, reliability and cost. Cloud services are offered depends on Service Level Agreements (SLAs), an official agreement between cloud provider and user. To measure what quality of the services is offered by the cloud provider, we require monitoring the cloud computing services. Monitoring is important for both customer and service provider. The monitoring status helps cloud provider to improve their services and also helps the customer to know whether they are receiving the promised QoS or not. In this paper, we proposed the general framework and addressed the different aspects related to management and monitoring of QoS-based cloud computing services. We also discuss the key issues and challenges of QoS-based cloud services.
References
D. Ardagna, G. Casale, M. Ciavotta, J.F Pérez, W. Wang. "Quality-of-service in cloud computing: modeling techniques and their applications", Journal of Internet Services and Applications, Vol.25, Issue.1, pp.1-11, 2014.
S. Ayyub, D. Roy, “Cloud Computing Characteristics and Security Issues”, International Journal of Computer Sciences and Engineering, Vol.1, Issue.4, pp.18-22, 2013.
M. Lagwal, N. Bhardwaj, "A Survey On Load Balancing Methods and Algorithms in Cloud Computing", International Journal of Computer Sciences and Engineering, Vol.5, Issue.4, pp.46-51, 2017.
RP. Sarang, RK. Bunkar, "Study of Services and Privacy Usage in Cloud Computing", International Journal of Scientific Research in Computer Science and Engineering, Vol.1, Issue.6, pp.7-12, 2013.
F. Jrad, J. Tao, A. Streit, "SLA based Service Brokering in Intercloud Environments", CLOSER, Portugal, pp.76-81,2012.
D. Kourtesis, J.M. Alvarez-Rodríguez, I. Paraskakis, "Semantic-based QoS management in cloud systems: current status and future challenges", Future Generation Computer Systems, Vol.3, Issue.2, pp. 307-323, 2014.
P. Zhang, Z. Yan, “A QoS-aware system for mobile cloud computing”, 2011 IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS),US, pp.518-522, 2011.
KJ Modi, DP. Chaudhury, G. Garg, “An Ontology- based Approach for Automatic Cloud Service Monitoring and Management”, International Conference on Big-Data and Cloud Computing (ICBDCC'17), NY, pp153,157, 2017
Q. Zhang, L. Cherkasova, E. Smirni, “A regression-based analytic model for dynamic resource provisioning of multi-tier applications”, Fourth International Conference on Autonomic Computing, Jacksonville, pp 27-27, 2007.
H. Goudarzi, M. Pedram”, Multi-dimensional SLA-based resource allocation for multi-tier cloud computing systems”, IEEE 4th International Conference on Cloud Computing, Washington, pp. 324-331, 2011.
V. Patidar, M. Kumbhkar, "Analysis of Cloud Computing Security Issues in Software as a Service", International Journal of Scientific Research in Computer Science and Engineering, Vol.2, Issue.3, pp.1-5, 2014.
B. Addis, D. Ardagna, B. Panicucci, M. S. Squillante, L. Zhang, "A Hierarchical Approach for the Resource Management of Very Large Cloud Platforms", IEEE Transactions on Dependable and Secure Computing, Vol. 10, No. 5, pp. 253-272, 2013.
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
