Publication Type:

Journal Article

Source:

Journal of Theoretical and Applied Information Technology, Asian Research Publishing Network, Volume 87, Number 2, p.285-290 (2016)

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84969544788&partnerID=40&md5=322b52acba2631a7e08ed13c0f9c0d3c

Abstract:

<p>Larger the information technology grows, larger will be the data generated, balancing the huge data is always a big question for the information management industry. Cloud computing uses virtual data storage and infrastructure which manages stores and processes huge volume of data. As the cloud offers major services to the clients, it is very important to balance the incoming requests. The aim of the system is to propose an efficient scheduling algorithm and to achieve optimal load balancing. The algorithm address the challenges faced with cloud load management by selecting best cloud partition for workload management, incorporating a novel selection and scheduling algorithm with an assignment problem principle approach for scheduling known as VISTA scheduling algorithm and achieving optimized solution with minimum utilization of processing metrics. © 2005 - 2016 JATIT &amp; LLS. All rights reserved.</p>

Notes:

cited By 0

Cite this Research Publication

S. Manishankar, Sandhya, R., and Bhagyashree, S., “Dynamic load balancing for cloud partition in public cloud model using VISTA scheduler algorithm”, Journal of Theoretical and Applied Information Technology, vol. 87, pp. 285-290, 2016.

207
PROGRAMS
OFFERED
5
AMRITA
CAMPUSES
15
CONSTITUENT
SCHOOLS
A
GRADE BY
NAAC, MHRD
8th
RANK(INDIA):
NIRF 2018
150+
INTERNATIONAL
PARTNERS