A New Task Scheduling Algorithm in Hybrid Cloud Environment

2012 ◽  
Author(s):  
Wang Zong Jiang ◽  
Zheng Qiu Sheng
Keyword(s):  
Task Scheduling ◽  
Scheduling Algorithm ◽  
Hybrid Cloud ◽  
Cloud Environment ◽  
Task Scheduling Algorithm

Task Scheduling Algorithm based on Resources Segregation in Cloud Environment

2018 ◽  
pp. 96-101
Author(s):  
Shailendra Raghuvanshi ◽  
Priyanka Dubey
Keyword(s):  
Load Balancing ◽  
Task Scheduling ◽  
Waiting Time ◽  
Virtual Machines ◽  
Scheduling Algorithm ◽  
Cloud Environment ◽  
Task Scheduling Algorithm ◽  
Machine Utilization ◽  
Independent Tasks ◽  
Optimal Machine

Load balancing of non-preemptive independent tasks on virtual machines (VMs) is an important aspect of task scheduling in clouds. Whenever certain VMs are overloaded and remaining VMs are under loaded with tasks for processing, the load has to be balanced to achieve optimal machine utilization. In this paper, we propose an algorithm named honey bee behavior inspired load balancing, which aims to achieve well balanced load across virtual machines for maximizing the throughput. The proposed algorithm also balances the priorities of tasks on the machines in such a way that the amount of waiting time of the tasks in the queue is minimal. We have compared the proposed algorithm with existing load balancing and scheduling algorithms. The experimental results show that the algorithm is effective when compared with existing algorithms. Our approach illustrates that there is a significant improvement in average execution time and reduction in waiting time of tasks on queue using workflowsim simulator in JAVA.

scholarly journals Priority Intensed Meta Task Scheduling Algorithm for Multi Cloud Environment (PIMTSA)

2020 ◽  
Vol 1427 ◽  
pp. 012007
Author(s):  
BJ. Hubert Shanthan ◽  
L. Arockiam ◽  
A. Cecil Donald ◽  
A.Dalvin Vinoth Kumar ◽  
R. Stephen
Keyword(s):  
Task Scheduling ◽  
Scheduling Algorithm ◽  
Cloud Environment ◽  
Task Scheduling Algorithm ◽  
Multi Cloud

scholarly journals Task scheduling algorithm based on multi criteria decision making method for cloud computing environment: TSABMCDMCCE

2019 ◽  
Vol 9 (1) ◽  
pp. 279-291 ◽  
Author(s):  
Proshikshya Mukherjee ◽  
Prasant Kumar Pattnaik ◽  
Tanmaya Swain ◽  
Amlan Datta
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Task Scheduling ◽  
Scheduling Algorithm ◽  
Multi Criteria Decision Making ◽  
Cloud Environment ◽  
Computing Environment ◽  
Queuing Model ◽  
Cloud Computing Environment ◽  
Task Scheduling Algorithm

AbstractThis Paper focuses on multi-criteria decision making techniques (MCDMs), especially analytical networking process (ANP) algorithm to design a model in order to minimize the task scheduling cost during implementation using a queuing model in a cloud environment and also deals with minimization of the waiting time of the task. The simulated results of the algorithm give better outcomes as compared to other existing algorithms by 15 percent.

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