Paper Info
Title
Supporting Cloud IaaS Users in Detecting Performance-Based Violation for Streaming Applications
Abstract
Cloud infrastructure-as-a-service (IaaS) users require stable performance for their applications so that the Quality of Service (QoS) constraints are satisfied. However, they generally experience performance variability, primarily due to multi-tenancy. Such variability may lead to QoS violations for the deployed applications. Existing cloud infrastructure solutions offered by cloud providers (CPs) do not have facilities to detect such violations. Hence, cloud users need to take responsibility for monitoring the performance of their applications in order to detect application-specific QoS violations. In this paper, we propose a novel algorithm for detecting QoS violation for media streaming applications. The algorithm compares the cumulative value of the expected streamed data against the cumulative value of the measured streamed data. Based on this comparison, the algorithm may raise QoS violation alarms. We evaluate the algorithm by deploying a media streaming application in a lab-based cloud setup. Experimental results demonstrate the correctness of the proposed algorithm.
Year
DOI
Venue
2018
10.1109/ICAC.2018.00027
2018 IEEE International Conference on Autonomic Computing (ICAC)
Keywords
Field
DocType
Cloud Computing, Cloud Monitoring, QoS Violation Detection, Media Streaming Application
Computer science,Correctness,Server,Quality of service,Bit rate,Throughput,Cloud computing,Distributed computing
Conference
ISSN
ISBN
Citations 
2474-0764
978-1-5386-5140-7
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Esha Barlaskar100.34
Kiril Dichev2275.06
Peter Kilpatrick333331.29
Ivor T. A. Spence4214.60
Dimitrios S. Nikolopoulos51469128.40