Title :
How Reduce Max Algorithm Behaves with Symptoms Appearance on Virtual Machines in Clouds
Author :
Alshamrani, Sultan
Author_Institution :
Dept. of Comput. Sci., Univ. of Liverpool, Liverpool, UK
Abstract :
Cloud computing is a new way of computing that gave users an opportunity to share resources in a virtual storage. Therefore, cloud systems provide universal environment with a considerable number of Virtual Machines (VMs) that is available to many users who can access them on-line. This form of access makes cloud systems weaker than physical networks, and consequently, they are easy goals for attackers. In order to reduce the number of attacks, any malicious behaviour should be rapidly discovered and stopped. In this paper, there is a continuation of the research that focus on the discovery of malicious behaviour symptoms. The main contribution of this paper is the simulation analysis of algorithm Reduce Max with respect to its delay in monitoring cloud systems with different demand functions according to the appearance of symptoms that should be on a random occurrence.
Keywords :
authorisation; cloud computing; system monitoring; virtual machines; VM; cloud computing; cloud systems monitoring; malicious behaviour symptoms discovery; reduce max algorithm; resources sharing; simulation analysis; virtual machines; virtual storage; Algorithm design and analysis; Cloud computing; Computational modeling; Harmonic analysis; Monitoring; Scalability; Virtual machining;
Conference_Titel :
Cloud Computing (ICCC), 2015 International Conference on
Conference_Location :
Riyadh
Print_ISBN :
978-1-4673-6617-5
DOI :
10.1109/CLOUDCOMP.2015.7149641