Managing energy and server resources in hosting centers
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
The Vision of Autonomic Computing
Computer
QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
IEEE Internet Computing
Efficient Access to Web Services
IEEE Internet Computing
WWW '05 Proceedings of the 14th international conference on World Wide Web
Assessing the Robustness of Self-Managing Computer Systems under Highly Variable Workloads
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
QoS-Aware Replanning of Composite Web Services
ICWS '05 Proceedings of the IEEE International Conference on Web Services
Resource Management in the Autonomic Service-Oriented Architecture
ICAC '06 Proceedings of the 2006 IEEE International Conference on Autonomic Computing
QoS-Aware composition of web services: an evaluation of selection algorithms
OTM'05 Proceedings of the 2005 Confederated international conference on On the Move to Meaningful Internet Systems - Volume >Part I
Service selection algorithms for composing complex services with multiple qos constraints
ICSOC'05 Proceedings of the Third international conference on Service-Oriented Computing
A comparative analysis between EGEE and grid way workload management systems
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part II
QoS-Driven web services selection in autonomic grid environments
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part II
Global and local qos guarantee in web service selection
BPM'05 Proceedings of the Third international conference on Business Process Management
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
LASS --- License Aware Service Selection: Methodology and Framework
ICSOC '08 Proceedings of the 6th International Conference on Service-Oriented Computing
Optimization of complex qos-aware service compositions
ICSOC'11 Proceedings of the 9th international conference on Service-Oriented Computing
P2PScheMe: a P2P scheduling mechanism for workflows in grid computing
Concurrency and Computation: Practice & Experience
Review: Cloud computing service composition: A systematic literature review
Expert Systems with Applications: An International Journal
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The Web service composition (WSC) is the process of building an instance of an abstract workflow by combining appropriate Web services that satisfies given QoS requirements. In general, QoS requirements consists of a number of constraints. The selection process requires global optimization and can be formalized as a mixed integer linear programming problem which cannot be solved in polynomial time. However, since the number of submitted workflows is large and the QoS is highly dynamic, the fast selection of composite Web Services is particularly important. In this paper, we present a QoS broker-based framework for Web services execution in autonomic grid environments. The main goal of the framework is to support the broker in selecting Web services based on the required QoS. To achieve this goal, we propose a novel approach: since successive composed Web services requests can have the same task to Web service assignment, we address the Multiple Instance WSC (MI-WSC) problem optimizing simultaneously the set of requests which will be submitted to the system in the successive time interval instead of independently computing a solution for each incoming request. Experimental results show that the proposed algorithm has better performance with respect to existing techniques. Moreover, the qualities of the selected composite Web services are not significantly different from the optimal ones.