Open AccessOptimized Load Balancing Strategy In Cloud Computing : A Review
Author(s) -
Parvinder Kaur,
Monika Sachdeva
Publication year - 2016
Publication title -
international journal of computer and technology
Language(s) - English
Resource type - Journals
ISSN - 2277-3061
DOI - 10.24297/ijct.v15i4.6932
Subject(s) - load balancing (electrical power) , computer science , cloud computing , distributed computing , scalability , idle , network load balancing services , job scheduler , scheduling (production processes) , computer network , server , operating system , engineering , operations management , geometry , mathematics , grid
Now a days every organization is migrating towards cloud computing as cloud computing is considered being more flexible and scalable as compared to other technologies. The technology simply means to provide the computing resources and services through a network. This paper discusses the existing approaches for scheduling algorithms that can maintain the load balancing and provides better improved strategies through efficient job scheduling and modified resource allocation techniques. The load can be CPU load, memory capacity, delay or network load. Load balancing is the process of distributing the load among various nodes of a distributed system to improve both resource utilization and job response time while also avoiding a situation where some of the nodes are heavily loaded while other nodes are idle or doing very little work. Load balancing ensures that all the processor in the system or every node in the network does approximately the equal amount of work at any instant of time.