Performance Evaluation of Two New Lightweight Real-Time Scheduling Mechanisms for Ubiquitous and Mobile Computing Environments

Review on Task Scheduling in Ubiquitous Clouds

“…Measures to have efficient scheduling of the task with the energy optimization was proceeded by the Luo et al [2] by cluster framing and resulted with the increase in the make span causing time complexities. The further researches proceeded with the optimization of time as the cloud based service requisition are often time or deadline constraint admitting the EDLF and LSTR by Salehan, et al [3] offered a service rendering with the improved time complexities , better throughput but caused more energy consumption and cost. Lakshmi et al [5] optimized capacitor scheduling caused the cloud tasks to have effective scheduling that resulted with more computational-time , energy consumption and cost, the model offered a better performance in-terms of throughput but was incompatible with the time constrained service requisitions as they cause much time-complexities.…”

“…The innumerable users adapting to cloud would increase the flow of the task requisitions which would lead to more challenges in the allocation of the resources to the service [16]. This paves to the efficient task scheduling strategies for concurrent service rendering for the cloud environment that is ubiquitous, [15] scheduling is an energy -consuming task and task allocation that are energy-efficient [2] and LWRT scheduling [3] were identified to have an energy-efficiency in task-scheduling at the cost of make-span and the throughput. The above mentioned methods were proved to be less-efficient as they arrive at to local optima solutions for the allocation of the resources.…”