期刊名称：Karbala International Journal of Modern Science
印刷版ISSN：2405-609X
电子版ISSN：2405-609X
出版年度：2017
卷号：3
期号：4
页码：241-258
DOI：10.1016/j.kijoms.2017.08.003
语种：English
出版社：Elsevier
摘要：AbstractIn multithreaded programs, scheduler controls the execution of threads. As a result, the scheduler may arrange the execution sequence of threads in such a way that multithreaded programs may violate the non-interference confidentiality policy. Due to a violation of non-interference, multithreaded programs may leak security sensitive information. In the proposed work, Ant Colony Optimization (ACO) based intelligent scheduling policy has been proposed in the form of algorithms to schedule threads in multithreading environment in such a way that the execution sequence leads to minimal information leakage. In the present work, the proposed scheduler also deals with conflicting scheduling parameters and provides the algorithmic solution which can handle all conflicting entities of scheduling like throughput, delay, security-privacy and fairness. In this work, dynamic creation and deletion of threads are also handled during the scheduling. Although the focus of this work is on the scheduling of threads, the proposed policy can be used as a general purpose scheduling policy in many computing fields.
