Event Title

Load Balancing Protocol for dynamic resource allocation in cloud computing

Session

Computer Science and Communication Engineering

Description

Cloud Computing has taken interest of computing in last couple of decades. We will focus on Infrastructure as a Service layer of Cloud computing . As cloud computing works on distributed structure it also use distributed file system like hadoop . in distributed file system tasks are performed in parallel fashion . in cloud computing Failures are norm not exceptions. also files can be created dynamically or deleted dynamically . these changes in numbers and positions of file can lead to load imbalance. In this paper we are going to present a distributed load rebalancing algorithm .That algorithm is an effort to eliminate load imbalance problem . It dynamically maximizing the cloud utility Under CPU and memory constraints.

Keywords:

Cloud computing, distributed file system, load balancing protocol

Session Chair

Zhilbert Tafa

Session Co-Chair

Xhafer Krasniqi

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-437-69-1

Location

Pristina, Kosovo

Start Date

27-10-2018 1:30 PM

End Date

27-10-2018 3:00 PM

DOI

10.33107/ubt-ic.2018.96

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Oct 27th, 1:30 PM Oct 27th, 3:00 PM

Load Balancing Protocol for dynamic resource allocation in cloud computing

Pristina, Kosovo

Cloud Computing has taken interest of computing in last couple of decades. We will focus on Infrastructure as a Service layer of Cloud computing . As cloud computing works on distributed structure it also use distributed file system like hadoop . in distributed file system tasks are performed in parallel fashion . in cloud computing Failures are norm not exceptions. also files can be created dynamically or deleted dynamically . these changes in numbers and positions of file can lead to load imbalance. In this paper we are going to present a distributed load rebalancing algorithm .That algorithm is an effort to eliminate load imbalance problem . It dynamically maximizing the cloud utility Under CPU and memory constraints.