Affiliation:
1. FedEx, USA
2. Arizona State University, USA & Tsinghua University, China
3. Hewlett-Packard, USA
Abstract
Today, enterprise systems are integrated across wired and wireless networks. Enterprise Mobile Service Computing (EMSC) is a recent development style in distributed computing, and Enterprise Mobile Service Architecture (EMSA) is a new enterprise architectural style for mobile system integration. This chapter introduces the concepts of EMSC, discusses the opportunities, and addresses mobile constraints and challenges in EMSC. The mobile constraints include aspects relating to mobile hardware, software, networking, and mobility. Many issues such as availability, performance, and security are encountered due to these constraints. To address these challenges in EMSC, the chapter proposes seven architectural views: Enterprise Mobile Service, Enterprise Mobile Service Consumer, Enterprise Mobile Service Data, Enterprise Mobile Service Process, Enterprise Mobile Service Infrastructure, Enterprise Mobile Service Management, and Enterprise Mobile Service Quality. Each is described with principles, design constraints, and emerging technologies. In order to illustrate a practical implementation of EMSA, the chapter presents a major shipping and delivery services enterprise as a case study to describe the integration of Service-driven mobile systems in the enterprise.
Reference66 articles.
1. Evaluation of distributed SOAP and REST mobile web services.;F.Alshahwan;International Journal on Advances in Networks and Services,2010
2. Baggio, A. (1998). System support for transparency and network-aware adaptation in mobile environments. In Proceedings of ACM Symposium on Applied Computing, Feb. 27th – March 1.
3. A survey of context data distribution for mobile ubiquitous systems.;P.Bellavista;ACM Computing Surveys,2012
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