Research Cell: An International Journal of Engineering Sciences

Navpreet Kaur Walia ¹, Navdeep Kaur ¹

Affiliations
1 Department of Computer Science and Engineering, Sri Guru Granth Sahib World University, Fatehgarh Sahib, Punjab, IN

Abstract

Cloud Computing is the inevitable emerging technology which thrives on managing the services to users in an effective manner. Providing those services requires an optimal solution for scheduling tasks to the resources within time bound. Genetic Algorithm (GA) is one of the scheduling algorithm which is based on evolutionary concept has been extensively studied in literature. In this paper, the performance of the Efficient Genetic Algorithm (EGA) is evaluated in different cloud computing environments. A comparison analysis revealed that EGA is more effective in heterogeneous environment as compared to homogeneous environment.

Keywords

Genetic Algorithm, Scheduling, Cloud Environment.

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Ravjot Singh Syal ¹, Navpreet Kaur Walia ²

Affiliations
1 SGGSWU, Fatehgarh Sahib, IN
2 CSE Department, SGGSWU, Fatehgarh Sahib, IN

Abstract

In this paper, we elaborated the role of routing protocols for active transmission of data. Various routing protocols were implemented (Viz. OSPF, EIGRP, RIP) in the network where we used 2 scenarios first which is a simple network with no routing protocol implemented&in second scenario we implemented routing protocols&the output of the network having implemented routing protocols was very efficient, reliable than the other one.

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