Paper Info
Title
MOSES: A Framework for QoS Driven Runtime Adaptation of Service-Oriented Systems
Abstract
Architecting software systems according to the service-oriented paradigm and designing runtime self-adaptable systems are two relevant research areas in today's software engineering. In this paper, we address issues that lie at the intersection of these two important fields. First, we present a characterization of the problem space of self-adaptation for service-oriented systems, thus providing a frame of reference where our and other approaches can be classified. Then, we present MOSES, a methodology and a software tool implementing it to support QoS-driven adaptation of a service-oriented system. It works in a specific region of the identified problem space, corresponding to the scenario where a service-oriented system architected as a composite service needs to sustain a traffic of requests generated by several users. MOSES integrates within a unified framework different adaptation mechanisms. In this way it achieves greater flexibility in facing various operating environments and the possibly conflicting QoS requirements of several concurrent users. Experimental results obtained with a prototype implementation of MOSES show the effectiveness of the proposed approach.
Year
DOI
Venue
2012
10.1109/TSE.2011.68
IEEE Trans. Software Eng.
Keywords
Field
DocType
composite service,qos-driven adaptation,software tool,service-oriented paradigm,problem space,runtime self-adaptable system,different adaptation mechanism,architecting software system,qos driven runtime adaptation,software engineering,service-oriented systems,service-oriented system,quality of service,software systems,service oriented architecture,concrete
Software tool,Software engineering,Computer science,Quality of service,Software system,Real-time computing,Service oriented systems,Frame of reference,Service-oriented architecture,Problem space
Journal
Volume
Issue
ISSN
38
5
0098-5589
Citations 
PageRank 
References 
85
1.81
40
Authors
6
Name
Order
Citations
PageRank
Valeria Cardellini11514106.12
Emiliano Casalicchio2108065.44
Vincenzo Grassi3174681.24
Stefano Iannucci41339.26
Francesco Lo Presti5107378.83
Raffaela Mirandola62557133.74