NDLI: Dynamic scalability and contention prediction in public infrastructure using Internet application profiling

Content Provider	IEEE Xplore Digital Library
Author	Dawoud, W. Takouna, I. Meinel, C.
Copyright Year	2012
Description	Author affiliation: Hasso Plattner Institute Potsdam University Potsdam, Germany (Dawoud, W.; Takouna, I.; Meinel, C.)
Abstract	Recently, the advance of cloud computing services has attracted many customers to host their Internet applications in the cloud. Infrastructure as a Service (IaaS) is on top of these services where it gives more control over the provisioned resources. The control is based on online monitoring of specific metrics (e.g., CPU, Memory, and Network). Despite the fact that these metrics guide resources provisioning, the lack of understanding application behavior can lead to wrong decisions. Moreover, current monitored metrics alone do not help in resources contention prediction, which is very common in shared infrastructures like IaaS. Nevertheless, the architecture of Internet applications, as multi-tier systems, makes contention prediction more complex while its influence can migrate from one tier to another. In this paper, we propose a pro-active global controller not only for dynamic resources provisioning, but also for predicting and eliminating contentions in multi-tier applications. Our technique combines monitored metrics, which are provided by current IaaS providers, with models that are built depending on the Internet applications profiling. The fitness of the monitored metrics to the application model is used for contention prediction. We examined our technique using RUBiS benchmark. The results express the efficiency of the developed algorithms in maintaining Internet applications performance even in shared infrastructures.
Starting Page	208
Ending Page	216
File Size	676700
Page Count	9
File Format	PDF
ISBN	9781467345118
e-ISBN	9781467345101
e-ISBN	9781467345095
DOI	10.1109/CloudCom.2012.6427552
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-03
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Dynamic scalability Cloud computing Computational modeling Computer architecture Internet Mathematical model Public IaaS Contention prediction Application profiling Monitoring Equations
Content Type	Text
Resource Type	Article

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