scholarly journals Modified Differential Evolution in the Load Balancing Problem for the iFDAQ of the COMPASS Experiment at CERN

2019 ◽  
Author(s):  
Ondřej Šubrt ◽  
Martin Bodlák ◽  
Matouš Jandek ◽  
Vladimír Jarý ◽  
Antonín Květoň ◽  
...  
Keyword(s):  
Load Balancing ◽  
Differential Evolution ◽  
Compass Experiment

Dynamic Programming and Greedy Heuristic in the Load Balancing Problem for the iFDAQ of the COMPASS Experiment at CERN

2021 ◽  
Author(s):  
Ondrej Subrt ◽  
Martin Bodlak ◽  
Vladimir Jary ◽  
Antonin Kveton ◽  
Josef Novy ◽  
...  
Keyword(s):  
Dynamic Programming ◽  
Load Balancing ◽  
Greedy Heuristic ◽  
Compass Experiment

scholarly journals DELB: Differential Evolution BASED Load Balancing Technique for Load Balance in Cloud Computing

2017 ◽  
Vol 19 (02) ◽  
pp. 62-67
Author(s):  
Ankur kushwaha ◽  
Priya pathak
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Differential Evolution ◽  
Load Balance

Reinforcement Learning in the Load Balancing Problem for the iFDAQ of the COMPASS Experiment at CERN

2020 ◽  
Author(s):  
Ondřej Šubrt ◽  
Martin Bodlák ◽  
Matouš Jandek ◽  
Vladimír Jarý ◽  
Antonín Květoň ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Load Balancing ◽  
Compass Experiment

LZW differential evolution for binary encoding

2012 ◽  
Author(s):  
Orawan Watchanupaporn ◽  
Worasait Suwannik
Keyword(s):  
Differential Evolution ◽  
Binary Encoding

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.

Development of Load Balancing Systems in a Parallel MRP System

2003 ◽  
Vol 123 (10) ◽  
pp. 1847-1857
Author(s):  
Takahiro Tsukishima ◽  
Masahiro Sato ◽  
Hisashi Onari
Keyword(s):  
Load Balancing
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