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[zhch08]
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Q. Zhang, L. Cherkasova, N. Mi, and E. Smirni.
A regression-based analytic model for capacity planning of multi-tier
applications.
Cluster Computing, 11(3):197-211, September 2008.
[ bib |
.pdf ]
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[stwh07]
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Malgorzata Steinder, Ian Whalley, David Carrera, and Ilona Gawedaand David M.
Chess.
Server virtualization in autonomic management of heterogeneous
workloads.
In Proc. IFIP/IEEE Int'l Symp. on Integrated Network Management
(IM'07), pages 139-148, May 2007.
[ bib |
.pdf ]
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[zhbi07]
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Wei Zheng, Ricardo Bianchini, and Thu Nguyen.
Automatic configuration of internet services.
In Proc. EuroSys 2007, pages 219-230, March 2007.
[ bib |
.pdf ]
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[tast07]
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Chunqiang Tang, Malgorzata Steinder, Michael Spreitzer, and Giovanni Pacifici.
A scalable application placement controller for enterprise data
centers.
In Proc. Int'l Conference on World Wide Web (WWW'07), pages
331-340, 2007.
[ bib |
http |
.pdf ]
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[toka06]
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Alexander Totok and Vijay Karamcheti.
Improving performance of internet services through reward-driven
request prioritization.
In Proc. IEEE International Workshop on Quality of Service
(IWQoS'06), June 2006.
[ bib |
.pdf |
.pdf ]
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[kaki06]
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A. Karve, T. Kimbrel, G. Pacifici, M. Spreitzer, M Steinder, M Sviridenko, and
A. Tantawi.
Dynamic placement for clustered web applications.
In Proc. International Conference on World Wide Web (WWW'06),
pages 595-604, May 2006.
[ bib |
.pdf |
.pdf ]
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[kaka05b]
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Christos Karamanolis, Magnus Karlsson, and Xiaoyun Zhu.
Designing controllable computer systems.
In USENIX Workshop on Hot Topics in Operating Systems, pages
49-54, June 2005.
[ bib |
.pdf |
.pdf ]
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[zhwa05]
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Xiaoyun Zhu, Zhikui Wang, and S. Singhal.
Utility-driven workload management using nested control design.
Technical Report HPL-2005-193(R.1), HP Laboratories Palo Alto, March
2005.
also appeared in Proc. American Control Conference, June 2006.
[ bib |
.pdf |
.pdf ]
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[pase05]
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G. Pacifici, W. Segmuller, M. Spreitzer, M. Steinder, A. Tantawi, and
A. Youssef.
Managing the response time for multi-tiered web applications.
Technical Report RC 23651, IBM, 2005.
[ bib |
.pdf ]
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[ursh05]
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Bhuvan Urgaonkar, Prashant J. Shenoy, Abhishek Chandra, and Pawan Goyal.
Dynamic provisioning of multi-tier internet applications.
In International Conference on Autonomic Computing (ICAC'05),
pages 217-228, 2005.
[ bib |
.pdf ]
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[kami04]
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Abhinav Kamra, Vishal Misra, and Erich Nahum.
Yaksha: A self-tuning controller for managing the performance of
3-tiered web sites.
In International Workshop on Quality of Service (IWQoS), June
2004.
[ bib |
.pdf |
.pdf ]
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[kewa04]
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Jeffrey O. Kephart and William E. Walsh.
An artificial intelligence perspective on autonomic computing
policies.
In IEEE International Workshop on Policies for Distributed
Systems and Networks (POLICY'04), pages 3-12, June 2004.
[ bib |
.pdf ]
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[elna04]
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Sameh Elnikety, Erich Nahum, John Tracey, and Willy Zwaenepoel.
A method for transparent admission control and request scheduling in
dynamic e-commerce web sites.
In International World Wide Web Conference, pages 276-286, May
2004.
[ bib |
.pdf |
.pdf ]
Gatekeeper system tracks sliding average service time for each type of servlet in the application server. System also obtains an off-line estimate of system capacity, which is expressed as an offered service time load. To implement admission control, Gatekeeper tracks to the current load, which is the sum of the estimated service times of currently-running servlets. It blocks execution of new servlets if the execution would bring the current load above the system capacity. To obtain an off-line estimate of system capacity, system throughput is measured at various levels of offered load. Throughput as a function of offered load is assumed to have a single peak - the maximum offered load at which peak throughput occurs is taken to be the system capacity.
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[coch04]
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Ira Cohen, Jeffrey S. Chase, Moisés Goldszmidt, Terence Kelly, and Julie
Symons.
Correlating instrumentation data to system states: A building block
for automated diagnosis and control.
In Symposium on Operating System Design and Implementation
(OSDI'04), pages 231-244, 2004.
[ bib |
.pdf |
.pdf ]
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[xili04]
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Bowei Xi, Zhen Liu, Mukund Raghavachari, Cathy H. Xia, and Li Zhang.
A smart hill-climbing algorithm for application server configuration.
In World Wide Web Conference (WWW'04), 2004.
[ bib |
.pdf ]
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[chsh03]
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Abhishek Chandra and Prashant Shenoy.
Effectiveness of dynamic resource allocation for handling internet
flash crowds.
Technical Report TR03-37, Department of Computer Science, University
of Massachusetts at Amherst, November 2003.
[ bib |
.pdf |
.pdf ]
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[lish03]
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Xue Liu, Lui Sha, Yixin Diao, Steve Froehlich, Joseph L. Hellerstein, and Sujay
Parekh.
Online response time optimization of apache web server.
In International Workshop on Quality of Service (IWQoS 2003),
2003.
[ bib |
.ps ]
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[absh02]
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Tarek F. Abdelzaher, Kang G. Shin, and Nina Bhatti.
Performance guarantees for web server end-systems: A
control-theoretical approach.
IEEE Transactions on Parallel and Distributed Systems,
13(1):80-96, 2002.
[ bib |
.pdf |
.pdf ]
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[meba01]
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Daniel A. Menascé, Daniel Barbará, and Ronald Dodge.
Preserving qos of e-commerce sites through self-tuning: a performance
model approach.
In Proceedings of the 3rd ACM conference on Electronic
Commerce, pages 224-234, 2001.
[ bib |
.pdf ]
Describes a system that implements N-tier admissions controls and n-tier multiprogramming level control. Uses hill climbing to search configuration space and a queueing model to predict performance of a target configuration. Single-tier queueing models are composed to build an N-tier model. Monitoring system measures QoS constraint compliance and resource utilizations to feed to the queueing model.
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