Preserving QoS of e-commerce sites through self-tuning: a performance model approach
Proceedings of the 3rd ACM conference on Electronic Commerce
The Vision of Autonomic Computing
Computer
SLA based profit optimization in autonomic computing systems
Proceedings of the 2nd international conference on Service oriented computing
Assessing the Robustness of Self-Managing Computer Systems under Highly Variable Workloads
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
Service-Oriented Architecture: Concepts, Technology, and Design
Service-Oriented Architecture: Concepts, Technology, and Design
A Model-driven WSDL Extension for Describing the QoS ofWeb Services
ICWS '06 Proceedings of the IEEE International Conference on Web Services
Self-Managed Systems: an Architectural Challenge
FOSE '07 2007 Future of Software Engineering
A survey of autonomic computing—degrees, models, and applications
ACM Computing Surveys (CSUR)
A heuristic approach to optimal service selection in service oriented architectures
WOSP '08 Proceedings of the 7th international workshop on Software and performance
Generating Adaptation Policies for Multi-tier Applications in Consolidated Server Environments
ICAC '08 Proceedings of the 2008 International Conference on Autonomic Computing
Self-adaptive utility-based web session management
Computer Networks: The International Journal of Computer and Telecommunications Networking
A Modeling Language for Activity-Oriented Composition of Service-Oriented Software Systems
MODELS '09 Proceedings of the 12th International Conference on Model Driven Engineering Languages and Systems
A framework for utility-based service oriented design in SASSY
Proceedings of the first joint WOSP/SIPEW international conference on Performance engineering
Software adaptation patterns for service-oriented architectures
Proceedings of the 2010 ACM Symposium on Applied Computing
On optimal service selection in Service Oriented Architectures
Performance Evaluation
Qos architectural patterns for self-architecting software systems
Proceedings of the 7th international conference on Autonomic computing
Utility-Based Optimal Service Selection for Business Processes in Service Oriented Architectures
ICWS '10 Proceedings of the 2010 IEEE International Conference on Web Services
FUSION: a framework for engineering self-tuning self-adaptive software systems
Proceedings of the eighteenth ACM SIGSOFT international symposium on Foundations of software engineering
A learning-based approach for engineering feature-oriented self-adaptive software systems
Proceedings of the eighteenth ACM SIGSOFT international symposium on Foundations of software engineering
Dynamic QoS Management and Optimization in Service-Based Systems
IEEE Transactions on Software Engineering
PerOpteryx: automated application of tactics in multi-objective software architecture optimization
Proceedings of the joint ACM SIGSOFT conference -- QoSA and ACM SIGSOFT symposium -- ISARCS on Quality of software architectures -- QoSA and architecting critical systems -- ISARCS
A hybrid approach for multi-attribute qos optimisation in component based software systems
QoSA'10 Proceedings of the 6th international conference on Quality of Software Architectures: research into Practice - Reality and Gaps
MOSES: A Framework for QoS Driven Runtime Adaptation of Service-Oriented Systems
IEEE Transactions on Software Engineering
Propagation of incremental changes to performance model due to SOA design pattern application
Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering
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This paper builds on SASSY, a system for automatically generating SOA software architectures that optimize a given utility function of multiple QoS metrics. In SASSY, SOA software systems are automatically re-architected when services fail or degrade. Optimizing both architecture and service provider selection presents a pair of nested NP-hard problems. Here we adapt hill-climbing, beam search, simulated annealing, and evolutionary programming to both architecture optimization and service provider selection. Each of these techniques has several parameters that influence their efficiency. We introduce in this paper a meta-controller that automates the run-time selection of heuristic search techniques and their parameters. We examine two different meta-controller implementations that each use online learning. The first implementation identifies the best heuristic search combination from various prepared combinations. The second implementation analyzes the current self-architecting problem (e.g. changes in performance metrics, service degradations/failures) and looks for similar, previously encountered re-architecting problems to find an effective heuristic search combination for the current problem. A large set of experiments demonstrates the effectiveness of the first meta-controller implementation and indicates opportunities for improving the second meta-controller implementation.