Abstract
In a large, heterogeneous, and distributed environment, the computing infrastructure expands, and resource management becomes a challenging task. In a cloud world, one experiences problems of resource distribution, triggered by items like heterogeneity, dynamism, and errors, with uncertainty and distribution of resource. Unfortunately, to manage these environments, applications, and resource behaviors, current resource management techniques, frameworks, and mechanisms are insufficient. In recent years, the computer system is mostly based on cloud computing. Service level agreement (SLA) and quality of service (QoS) decrease by the minimum utilization of resources. Proper utilization of resources reduces the SLA violation and maximize QoS. Proper management of resources managed by service algorithms. This research paper analyzes the different types of resource management strategies which play the vital role mange the resources computing resources.
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Sharma, C., Tiwari, P.K., Agarwal, G. (2022). An Empirical Study of Different Techniques for the Improvement of Quality of Service in Cloud Computing. In: Nanda, P., Verma, V.K., Srivastava, S., Gupta, R.K., Mazumdar, A.P. (eds) Data Engineering for Smart Systems. Lecture Notes in Networks and Systems, vol 238. Springer, Singapore. https://doi.org/10.1007/978-981-16-2641-8_32
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DOI: https://doi.org/10.1007/978-981-16-2641-8_32
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