Abstract
Cloud computing has developed as a prevailing and transformational worldview in Information innovation space throughout the most recent couple of years. It has influenced a huge number of ventures, for example, government, broadcast communications etc. The Quality of Service (QoS) of a cloud specialist organization is a vital research field which envelops distinctive basic issues, for example, effective load adjusting, reaction time enhancement, culmination time change and diminishment in wastage of data transfer. This paper highlights cloudlet scheduling policy. The proposed policy CAMQU reduces the execution time of the cloudlet(s). The term UserFactor proposed within the policy gives power to user to make the process cost or time efficient on the basis of his needs whereas the term cost quantum a static value can be set by CSP to determine the cost of execution of the instructions of the cloudlets. The policy increases the Quality of Service (QoS) for both User and Cloud Service Provider.
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Bajoria, V., Katal, A. (2018). CAMQU: A Cloudlet Allocation Strategy Using Multilevel Queue and User Factor. In: Bhattacharyya, P., Sastry, H., Marriboyina, V., Sharma, R. (eds) Smart and Innovative Trends in Next Generation Computing Technologies. NGCT 2017. Communications in Computer and Information Science, vol 828. Springer, Singapore. https://doi.org/10.1007/978-981-10-8660-1_13
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DOI: https://doi.org/10.1007/978-981-10-8660-1_13
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