TY - GEN
T1 - A Comprehensive Task Scheduling Algorithms in Cloud Computing
T2 - 2nd International Conference on Signal Processing, Communication, Power and Embedded Systems, SCOPES 2024
AU - Kar, Manoj Kumar
AU - Swain, Sngram Keshari
AU - Mangalampalli, S. Sudheer
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Cloud computing is one of the emerging techniques of the current era. It is the method of using different computing resources which can be used when needed in steed of purchasing the resources. Task scheduling is important aspect of cloud computing to manage the different task requests from the multiple users simultaneously. It takes a major role in distributing tasks to VMs based on different factors named makespan, efficiency, energy consumption, memory utilization, network connectivity etc. Different task scheduling algorithms such as nature-inspired, bio-inspired and Metaheuristic algorithms are available for making task scheduling more optimal and efficient. The proposed paper attempts a review existing scheduling mechanisms modeled by nature-inspired, bio-inspired, Metaheuristic approaches which addressed various scheduling parameters such as trust factor, fault tolerance etc.
AB - Cloud computing is one of the emerging techniques of the current era. It is the method of using different computing resources which can be used when needed in steed of purchasing the resources. Task scheduling is important aspect of cloud computing to manage the different task requests from the multiple users simultaneously. It takes a major role in distributing tasks to VMs based on different factors named makespan, efficiency, energy consumption, memory utilization, network connectivity etc. Different task scheduling algorithms such as nature-inspired, bio-inspired and Metaheuristic algorithms are available for making task scheduling more optimal and efficient. The proposed paper attempts a review existing scheduling mechanisms modeled by nature-inspired, bio-inspired, Metaheuristic approaches which addressed various scheduling parameters such as trust factor, fault tolerance etc.
UR - https://www.scopus.com/pages/publications/105007924308
UR - https://www.scopus.com/pages/publications/105007924308#tab=citedBy
U2 - 10.1109/SCOPES64467.2024.10991316
DO - 10.1109/SCOPES64467.2024.10991316
M3 - Conference contribution
AN - SCOPUS:105007924308
T3 - 2nd International Conference on Signal Processing, Communication, Power and Embedded Systems, SCOPES 2024
BT - 2nd International Conference on Signal Processing, Communication, Power and Embedded Systems, SCOPES 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 19 December 2024 through 21 December 2024
ER -