Design and Analysis of Security Aware Scheduling in Grid Computing Environment

Mudassir, Khan (2013) Design and Analysis of Security Aware Scheduling in Grid Computing Environment. International Journal of Computer Science and Information Technology Research (IJCSITR)‎, 1 (1). pp. 42-50. ISSN 2348-120X

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Abstract

Grid computing solves large scale applications by coordinating and sharing computational power, data storage and ‎network resources across dynamic and geographically dispersed organizations by providing high performance ‎computing platform with the goal of providing users with access to the resource they need, even when they need. Grids ‎provide remote access to IT assets, and aggregate processing power. The goal of scheduling is to achieve highest possible ‎system throughput and to match the application need with the available computing resources. Scheduling on to the Grid ‎is NP complete, so there is no best scheduling algorithm for all grid computing systems. The basic grid model generally ‎composed of a number of hosts, each composed of several computational resources, which may be homogeneous or ‎heterogeneous. In recognition that many applications running on Grids demand both real-time performance and ‎security. In this research proposal the problem of Security Aware- Scheduling on real time applications with various ‎security requirements for Grid Computing environment is discussed. In the work security aware scheduling models with ‎better load distribution for achieving a flexible trade-off between overhead caused by security services and system ‎performance are proposed considering security middleware model (SMW) and its peer technologies by which security-‎sensitive real-time applications are enable to exploit a variety of security services to enhance trustworthy executions of ‎the applications.‎

Item Type: Article
Subjects: Computer Networks and Communications Engineering
Computer Sciences
Computer Sciences and Information Systems
Divisions: College of Sciences and Arts - Tanomma > Computer Sciences
Depositing User: Mr Mudassir Khan Mohammad Ayyub
Date Deposited: 15 Jun 2016 11:51
Last Modified: 15 Jun 2016 11:51
URI: http://eprints.kku.edu.sa/id/eprint/275

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