Title: An approach to synergistic and dynamic service evolution in clouds
Authors: Zhe Wang; Guojian Cheng
School of Computing, Edinburgh Napier University, 10 Colinton Road, EH10 5DT, Edinburgh, UK
School of Computer Science, Xi'an Shiyou University, 18 East Dianzi 2 Road, 710065, Xi'an, China
Abstract: The proposed research will focus on developing a novel approach on software service evolution in computing clouds. The approach will support dynamic evolution of the software service in clouds via a set of discovered evolution patterns. An initial survey informed us that such an approach does not exist yet and is in urgent need. Service-oriented computing is a computing paradigm that exploits both web services and service-oriented architecture (SOA) as fundamental elements for developing software systems. This paradigm changes the way software system are designed, architected, delivered and consumed. The service-oriented paradigm is emerging as a new way to engineer system that are composed of and exposed as services for use through standardised protocols. Cloud computing is rapidly emerging as the new computing paradigm of the coming decade. The idea of virtualisation not just hardware but software resources as well has attracted the attention of academicians as well as the industry. Cloud computing offers a viable solution to the problem of addressing scalability and availability for large-scale application and of sharing resources.
Keywords: synergistic services; dynamic services; cloud services; evolution patterns; service evolution; cloud computing; service-oriented computing; web services; service-oriented architecture; SOA; resource sharing; virtualisation.
Int. J. of Cloud Computing, 2015 Vol.4, No.2, pp.177 - 198
Submission date: 11 Dec 2013
Date of acceptance: 28 May 2014
Available online: 06 May 2015