NDLI: Pattern-driven performance optimization at runtime: experiment on JEE systems

Please wait, while we are loading the content...

SUSTAIN: an adaptive fault tolerance service for geographically overlapping wireless cyber-physical systems

Adaptive context reasoning in pervasive systems

Immediate detection of predicates in pervasive environments

An extensible framework for middleware design based on concurrent event-based AOP

VOLARE: context-aware adaptive cloud service discovery for mobile systems

Pattern-driven performance optimization at runtime: experiment on JEE systems

Towards automatic tuning of adaptive computations in autonomic middleware

An event-driven approach to address reflectivity in sensornets

Multi-dynamics adaptations using cascaded aspect of assembly

Pattern-driven performance optimization at runtime: experiment on JEE systems

Content Provider	ACM Digital Library
Author	Huang, Gang Wang, Weihu
Abstract	Poor-performance solutions need to be refactored for optimizing the performance in distributed computing systems. This paper presents a case study of pattern-driven online performance optimization by automatically detecting poor-performance solutions and refactoring them into great-performance ones. Poor-performance solutions are abstracted as negative patterns and the corresponding great-performance ones are abstracted as positive patterns. Both negative and positive patterns are manually defined by experts using a meta-model in order to make the patterns understandable for middleware and reusable. For a running system, poor-performance solutions are detected automatically by discovering the negative patterns from the runtime context. For a detected poor-performance solution, the refactoring operations which change the running system from the poor-performance solution to the great-performance one are automatically generated by comparing the negative and positive pattern. The refactoring operations will be mapped to the actual management operations provided by the middleware which then executes the refactoring without stopping the running system.
Starting Page	39
Ending Page	45
Page Count	7
File Format	PDF
ISBN	9781450304559
DOI	10.1145/1891701.1891707
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-11-30
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Pattern Jee systems Performance optimization
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in