Open AccessAn Energy Efficient Hybrid PSO Algorithm in Cloud Environment
Author(s) -
Ranjandeep Kaur Khera,
Vijay Kumar Banga
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.c4704.029320
Subject(s) - computer science , particle swarm optimization , latency (audio) , cloud computing , schedule , real time computing , scheduling (production processes) , execution time , task (project management) , distributed computing , set (abstract data type) , algorithm , mathematical optimization , engineering , operating system , telecommunications , mathematics , systems engineering , programming language
Algorithms exist to schedule various tasks in real time cloud environment. Nowadays many researchers are trying to schedule heavily loaded situations in real time cloud environment using swarming technique. For such studies many parameters need to be considered like cost of the system, processor latency, number of tasks and so on. With the increase in the number of tasks in the set, processing time also increases. In this situation, processor latency is at peak as the number of tasks increases and system costs increase. So the above mentioned problem is handled by proposing a task scheduler that uses a PSO algorithm to remove the limitations of past studies in a heavily loaded situation. The Particle Swarm optimization (PSO) and Invasive Weed Optimization (IWO) are combined to propose a new technique called the HWO algorithm. The proposed algorithm is recommended for preventive tasks in the single-processor in real-time environment systems.