Enhanced Load Balancing in Clustered Cloud-based Multimedia System
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International Journal of Engineering Trends and Technology (IJETT) | 
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| © 2015 by IJETT Journal | ||
| Volume-29 Number-4 |
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| Year of Publication : 2015 | ||
| Authors : Suresh Babu Kuntumalla, Lakshumaiah Maddigalla |
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| DOI : 10.14445/22315381/IJETT-V29P234 |
Citation
Suresh Babu Kuntumalla, Lakshumaiah Maddigalla"Enhanced Load Balancing in Clustered Cloud-based Multimedia System", International Journal of Engineering Trends and Technology (IJETT), V29(4),183-188 November 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
In any typical centralized hierarchy
cloud-based multimedia system (CMS) contains a
resource manager, cluster heads and clustered
servers. All multimedia service requests of clients,
first directed to resource manager then it forwards
to appropriate cluster head based on the task
characteristic and then again cluster head forwards
the client task to the one of the its clustered servers..
In such a complex CMS, obviously, there are
prominent design challenges to overcome load
balancing issues and enhance the cost effectiveness
in transmitting multimedia content between CMS
and clients` systems without exceeding maximum
load capacity of cluster server. Unlike to earlier
paper works, this research work considered
additional real time CMS use cases with
performance monitoring at various time periods and
modelled them into a mathematical optimization
program, which intern to derive a better approach to
utilize maximum capacity of servers performance
and also ensuring not to exceed the cluster server
load. As a result, this enhanced work got resolved
runtime issues of load balancing by mathematical
derived models. The imitation of intended
mathematical optimization programs over CMS
multi-server load balancing resulted significantly
enhanced.
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ISSN:2231-5381. www.ijettjournal.org. published by
seventh sense research group
Keywords
load balancing, cloud computing,
multimedia system, mathematical optimization,
heuristic.