Services that implement autonomic characteristics that involve involuntary actions by the service-driven system in response to the changing business and environmental conditions are called autonomic services. Autonomic services are expected to satisfy one or more of the autonomic computing attributes such as self-healing, self-configuring, self-optimizing, and self-protecting. The term “autonomic computing” was motivated by the human autonomous nervous system that enables involuntary actions such as heart beats.
Published in Chapter:
Service-Driven Computing: Challenges and Trends
Raja Ramanathan (Independent Researcher, USA)
Copyright: © 2014
|Pages: 25
DOI: 10.4018/978-1-4666-6178-3.ch001
Abstract
Information technology is rapidly evolving to facilitate the design, development, and implementation of the next generation of architectural practices, tools, and techniques that will enable smart services and seamless enterprise integration. Service-Driven Computing involves the use of software services that conform to service architectural paradigms, such as Service-Oriented and Resource-Oriented Architectures, to drive computing solutions that enable building massively distributed software systems for this new generation of applications. Although services can promote agile, flexible, and extensible applications, service invocations can be subject to network latency, network failure, and distributed system failures. Moreover, service configurations are likely to change over time. This chapter explores the challenges in service-driven computing relating to composing adaptive services dynamically, supporting context-awareness and autonomic capabilities in services, verification of dynamic service compositions, and extending the service-driven paradigm to the Cloud. Along the way, contributions from researchers on potential solutions to these challenges are identified and discussed.