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Cloud based search engine


Article Information

Title: Cloud based search engine

Authors: Nithya G., Engels M. S., Gayathri S, Ganesh Kumar D.

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2015

Volume: 10

Issue: 5

Language: English

Keywords: Cloud Computingsearch engineMulti-Agent Brokering Approach

Categories

Abstract

With the advancement in science and technology, the problem of managing and maintaining expensive computing resources have become more complicated. In order to overcome this burden the recent trend is to effectively use cloud computing, supporting resource sharing, with many services. The goal is to aggregate idle network and to preserve resources such as CPU cycles and storage spaces to facilitate effective utilization and computing. For the above mentiones, we need to find an efficient method for identifying the services based on all the results from a cloud based search engine. The assignment and choosing of a cloud service should facilitate efficient problem solving and promote optimal use of resources. One such solution must be able to apply in a large array of information processing units. This project proposes to address the above problem using the Multi-Agent Brokering Approach, for the identification of services from the results of a cloud based search engine in a cloud environment. The Multi-Agent Approach ensures that the agents can specialize in identification of services made to process the requests. It also orders the results of the search with various ordering options such as CPU speed, memory and storage. For achieving this, the proper representation of provider capabilities and ontology relationships are essential.


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