CloudMeasure: A Platform for Performance Analysis of Cloud Computing Systems

2016 ◽  
Author(s):  
Luis Eduardo Bautista Villalpando ◽  
Alain April ◽  
Alain Abran
Keyword(s):  
Cloud Computing ◽  
Performance Analysis ◽  
Computing Systems

scholarly journals Performance Analysis of a Cloud Computing System using Queuing Model with Correlated Task Reneging

2021 ◽  
Vol 2091 (1) ◽  
pp. 012003
Author(s):  
Rakesh Kumar ◽  
Bhavneet Singh Soodan ◽  
Godlove Suila Kuaban ◽  
Piotr Czekalski ◽  
Sapana Sharma
Keyword(s):  
Cloud Computing ◽  
Performance Analysis ◽  
Queuing Theory ◽  
Computing System ◽  
Queuing Model ◽  
Average Delay ◽  
Computing Systems ◽  
Cloud Computing System ◽  
Request Queue ◽  
And Performance

Abstract Queuing theory has been extensively used in the modelling and performance analysis of cloud computing systems. The phenomenon of the task (or request) reneging, that is, the dropping of requests from the request queue often occur in cloud computing systems, and it is important to consider it when developing performance evaluations models for cloud computing infrastructures. Majority of studies in the performance evaluation of cloud computing data centres with the use of queuing theory do not consider the fact that the tasks could be removed from queue without being serviced. The removal of tasks from the queue could be due to the user impatience, execution deadline expiration, security reasons, or as an active queue management strategy. The reneging could be correlated in nature, that is, if a request is dropped (or reneged) at any time epoch, and then there is a probability that a request may or may not be dropped at the next time epoch. This kind of dropping (or reneging) of requests is referred to as correlated request reneging. In this paper we have modelled a cloud computing infrastructure with correlated request reneging using queuing theory. An M/M/1/N queuing model with correlated reneging has been used to study the performance analysis of the load balancing server of a cloud computing system. The steady-state as well as the transient performance analyses have been carried out. Important measures of performance like average queue size, average delay, probability of task blocking, and the probability of no waiting in the queue are studied. Finally, some comparisons are performed which describe the effect of correlated task reneging over simple exponential reneging.

scholarly journals A cloud computing separation model based on information flow

Open Physics ◽  
2019 ◽  
Vol 17 (1) ◽  
pp. 128-134 ◽  
Author(s):  
Wei Ma ◽  
Huanqin Li ◽  
Deden Witarsyah
Keyword(s):  
Cloud Computing ◽  
Information Flow ◽  
End Users ◽  
Separation Mechanism ◽  
Computing Systems ◽  
Cloud Computing Security ◽  
Model Based ◽  
Separation Model

Abstract Separation is the primary consideration in cloud computing security. A series of security and safety problems would arise if a separation mechanism is not deployed appropriately, thus affecting the confidence of cloud end-users. In this paper, together with characteristics of cloud computing, the separation issue in cloud computing has been analyzed from the perspective of information flow. The process of information flow in cloud computing systems is formalized to propose corresponding separation rules. These rules have been verified in this paper and it is shown that the rules conform to non-interference security, thus ensuring the security and practicability of the proposed rules.

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