Paper Info
Title
Stigmergy-Based QoS Optimisation for Flexible Service Composition in Mobile Communities
Abstract
Mobile users can form a service-sharing community within a geographic area by using their mobile devices. Finding Quality of Service (QoS) optimal service compositions in such mobile environments is challenging because of the inherent dynamism in services deployed on mobile devices. Existing service composition proposals for mobile environments either use template-matching composition or require a-priori knowledge about the QoS objectives' weights, which limits the composition flexibility in such environments. This paper introduces a QoS optimisation mechanism for planning-based service composition in mobile environments, where mobile software agents use stigmergic coordination to iteratively explore parts of the distributed service composition space to approximate a set of QoS optimal configurations. We present a mechanism that minimises the exploration of previously identified non-optimal solutions to encourage exploration of different parts of the service space. We evaluate the performance of the proposed approach and compare the results with a baseline variant, a Dijkstra-based, a Greedy and a Random approach. The results show that the proposed approach can achieve higher utility compared to the evaluated proposals at the cost of increased overhead.
Year
DOI
Venue
2018
10.1109/SERVICES.2018.00027
2018 IEEE World Congress on Services (SERVICES)
Keywords
Field
DocType
Mobile, QoS-Aware Service Composition
Dynamism,Task analysis,Computer science,Quality of service,Software agent,Service composition,Mobile device,Stigmergy,Database,Distributed services,Distributed computing
Conference
ISSN
ISBN
Citations 
2378-3818
978-1-5386-7375-1
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Andrei Palade11465.52
Siobhán Clarke269987.36