Title
Service-Oriented Integration of Systems for Military Capability
Abstract
Service oriented architecture (SOA) is becoming established in computing as a means to integrate processing and data across organisations. This paper proposes that system-level integration can benefit from service oriented architectural descriptions and loose coupling between the problem domain requirements and different system solutions. The problem domain is exemplified as military capability, from the UK Ministry of Defence (MoD), in particular, network enabled capability (NEC). Representations of military capability in the problem domain can be described in terms of processes. The processes are sequences of functions that can be described as services. Then different types of system solutions can implement the described services. Firstly, the paper presents an overview of conceptual SOA and in the context of military capability compares three levels of service integration: business services, systems services and computing services. Secondly, the paper presents a framework for evaluating the performance and effectiveness of service integration to compare different solutions in delivering military capability.
Year
DOI
Venue
2008
10.1109/ISORC.2008.45
Object Oriented Real-Time Distributed Computing
Keywords
Field
DocType
system level,ever-increasing functionality,enormous growth,non-functional constraint,military capability,cognitive complexity,service-oriented integration,embedded system,distributed computing,level of service,architecture,business services,real time systems,service oriented architecture,national electric code,systems engineering,quality of service,software architecture,service system
Network-enabled capability,Services computing,Military capability,Software engineering,Problem domain,Computer science,Loose coupling,Capability,Real-time computing,Software architecture,Service-oriented architecture,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-0-7695-3132-8
12
1.36
References 
Authors
14
4
Name
Order
Citations
PageRank
Duncan Russell1748.30
Nik Looker2716.75
Lu Liu31501170.70
Jie Xu435531.55