Scheduling Algorithms in Cloud Computing

Abstract

Cloud Computing has come to be perception for large scale of distributed computing and parallel processing. Cloud computing is a form of internet based computing that provides shared computer processing resources and data to computers and other devices on demand. The execution and suitability of cloud computing services always depends upon the completion of the user tasks affirmed to the cloud system. Task scheduling is one of the main types of scheduling performed. Scheduling is the major issue in establishing cloud computing system. The scheduling algorithms should order the jobs in a way where balance between improving the performance and quality of service and at the same time maintaining the efficiency and fairness among the jobs. This paper aims at studying various scheduling methods. A good scheduling technique also helps in proper and efficient utilization of the resources. Many scheduling techniques have been developed by the researchers like GA (

An Efficient Cloud Computing System for E-Health

“…Scheduling is an important issue in cloud computing and necessary to enhance performance [Arunarani et al, 2019;Kaur and Sharma, 2019). PSO algorithm was used in the scheduling data of the E-Health cloud because it has fewer parameters and easy to run.…”

“…PSO has found a wide range of applications in functionality optimization, multi-objective optimization problems (Liu et al, 2016;Bharath et al, 2022). Also, the heuristic algorithm such as the genetic algorithm (GA) and the PSO can be used to solve the optimization problems (Arunarani et al, 2019;Kaur and Sharma et al, 2019). The PSO was introduced by Kennedy and Eberhurt in 1995.…”

“…Once the best solutions are obtained, which are the chromosomes that achieve the appropriate fitness value, the required data is obtained and considered to be the best solution and the scheduling process is completed using the GA (Kaur and Sharma, 2019;Ali and Tawhid, 2017;Saber et al, 2021;Hamad and Omara, 2016;Hamed and Alkinani, 2021). [Fitness]: Create the new population is the cost function and order by descending.…”

A survey on predicting workloads and optimizing QoS in the cloud computing

“…It could be said that scheduling has become one of the most significant issues for CC. The researchers in [12] stated that 'scheduling algorithms should order the jobs in a way where balance between improving the performance and quality of service and at the same time maintaining the efficiency and fairness among the jobs'. Hence, resource scheduling is about efficiently assigning jobs to be run on machines.…”

Risks and preventive measures for manufacturing enterprises in the Context of cloud accounting

“…Cloud accounting has become the mainstream trend of accounting informatization development, and cloud accounting has become more and more favored by enterprise decision-makers for its low cost and high efficiency, high scalability without the limitation of physical hard disk, and easy interaction and collaboration with external organizations [5][6][7]. However, in the promotion of the large-scale application of cloud accounting, problems and risks involving the security of financial information storage and transmission, adjustment of full-time staff, and internal management control of accounting are bound to arise and arise, and once the prevention and control are inadvertent or improperly handled, it is likely to jeopardize the improvement of business efficiency and negatively affect the overall promotion of big data and cloud computing in the accounting field [8][9][10].…”