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  1. Transactions on the Web (TWEB)
  2. ACM Transactions on the Web (TWEB) : Volume 2
  3. Issue 3, July 2008
  4. Models and framework for supporting runtime decisions in Web-based systems
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ACM Transactions on the Web (TWEB) : Volume 10
ACM Transactions on the Web (TWEB) : Volume 9
ACM Transactions on the Web (TWEB) : Volume 8
ACM Transactions on the Web (TWEB) : Volume 7
ACM Transactions on the Web (TWEB) : Volume 6
ACM Transactions on the Web (TWEB) : Volume 5
ACM Transactions on the Web (TWEB) : Volume 4
ACM Transactions on the Web (TWEB) : Volume 3
ACM Transactions on the Web (TWEB) : Volume 2
Issue 4, October 2008
Issue 3, July 2008
Mitigating application-level denial of service attacks on Web servers: A client-transparent approach
Leveraging popular destinations to enhance Web search interaction
Models and framework for supporting runtime decisions in Web-based systems
Issue 2, April 2008
Issue 1, February 2008
ACM Transactions on the Web (TWEB) : Volume 1

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Models and framework for supporting runtime decisions in Web-based systems

Content Provider ACM Digital Library
Author Casolari, Sara Colajanni, Michele Andreolini, Mauro
Copyright Year 2008
Abstract Efficient management of distributed Web-based systems requires several mechanisms that decide on request dispatching, load balance, admission control, request redirection. The algorithms behind these mechanisms typically make fast decisions on the basis of the load conditions of the system resources. The architecture complexity and workloads characterizing most Web-based services make it extremely difficult to deduce a representative view of a resource load from collected measures that show extreme variability even at different time scales. Hence, any decision based on instantaneous or average views of the system load may lead to useless or even wrong actions. As an alternative, we propose a two-phase strategy that first aims to obtain a representative view of the load trend from measured system values and then applies this representation to support runtime decision systems. We consider two classical problems behind decisions: how to detect significant and nontransient load changes of a system resource and how to predict its future load behavior. The two-phase strategy is based on stochastic functions that are characterized by a computational complexity that is compatible with runtime decisions. We describe, test, and tune the two-phase strategy by considering as a first example a multitier Web-based system that is subject to different classes of realistic and synthetic workloads. Also, we integrate the proposed strategy into a framework that we validate by applying it to support runtime decisions in a cluster Web system and in a locally distributed Network Intrusion Detection System.
Starting Page 1
Ending Page 43
Page Count 43
File Format PDF
ISSN 15591131
e-ISSN 1559114X
DOI 10.1145/1377488.1377491
Volume Number 2
Issue Number 3
Journal ACM Transactions on the Web (TWEB)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2008-07-08
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword World Wide Web Distributed systems Load change detection Load prediction Load representation
Content Type Text
Resource Type Article
Subject Computer Networks and Communications
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