Service-Oriented Architectures for Pervasive Computing

Service-Oriented Architectures for Pervasive Computing

Elias S. Manolakos (University of Athens, Greece) and Demetris G. Galatopoullos (Northeastern University, USA)
DOI: 10.4018/978-1-61520-686-5.ch007
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The vision of pervasive computing is to create and manage computational spaces where large numbers of heterogeneous devices collaborate transparently to serve the user tasks all the time, anywhere. The original utility of a computer is now changing from a stand-alone tool that runs software applications to an environment-aware, context-aware tool that can enhance the user experience by executing services and carrying out his/her tasks in an efficient manner. However, the heterogeneity of devices and the user’s mobility are among the many issues that make developing pervasive computing applications a very challenging task. A solution to the programmability of pervasive spaces is adopting the service-oriented architecture (SOA) paradigm. In the SOA model, device capabilities are exposed as software services thus providing the programmer with a convenient abstraction level that can help to deal with the dynamicity of pervasive spaces. In this chapter the authors review the state of the art in SOA-based pervasive computing, identify existing open problems, and contribute ideas for future research.
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Although at times we may not realize it, networked devices of varying computational power are everywhere around us and heavily involved in our daily lives. From embedded sensors in the foundations of a bridge that communicate data about its structural integrity, to set-top boxes and game consoles providing entertainment at home, to large-scale servers offering access to specialized services over the Internet, the vision of pervasive computing as narrated by Mark Weiser (1991) is in fact becoming a reality. Distributed computing can now reach a wide-range of heterogeneous devices that may disappear in the background while still offering their capabilities as services through the network “all the time, everywhere” (Saha & Mukherjee, 2003; Satyanarayanan, 2001).

Pervasive computing is a multidisciplinary field that evolved from distributed and mobile computing (da Costa, Yamin, & Geyer, 2008; Saha et al., 2003). It differs from traditional computing in terms of how the computational devices are perceived and utilized in applications. We live in an era where computing gradually moves from stand-alone software programs running on a single machine to orchestrated composite services running across distributed interconnected cyberspaces. A pervasive environment evolves from a virtual environment of interconnected computers into a collaborative information-rich physical space. The diverse and distributed services that devices immersed in a pervasive environment offer to the developer of pervasive applications or to the end-user are called pervasive services. Pervasive devices become an integral part of a pervasive environment and unlike traditional computers they collectively offer location and context awareness as core services to user applications in a seamless and continuous manner (Gupta, Lee, Purakayastha, & Srimani, 2001; Saha et al., 2003). Pervasive computing principles have already been utilized in several application domains such as smart homes, where intelligent appliances may expose their capabilities as services and can be combined with sensors to provide a comfortable, safe or rehabilitative living environment. Another example is the smart cars that promise an enhanced driving experience for a safer and more enjoyable ride. Health care, manufacturing, and social networks are also areas where pervasive computing is currently exploited.

Since pervasive computing evolved from distributed and subsequently mobile computing, it is only natural that it inherited a set of their problems (da Costa et al., 2008). Developing software applications that engage pervasive devices is not easy and requires new application development paradigms. The high degrees of device heterogeneity and dynamicity call for device interoperability models and protocols. Moreover, current standard Integrated Development Environments (IDEs) are not suitable for developing pervasive applications (Helal, 2005). This is largely due to the fact that using pervasive devices introduces a set of unique issues not present in traditional software development, such as the integration of large numbers of heterogeneous entities, ubiquitous connectivity etc., that so far are only performed at small scale and in an ad-hoc manner. These difficulties generate the need for new middleware technologies and software engineering methodologies that will allow developers to integrate available devices from a pervasive-enabled space into their applications easily and at a large scale without the need of using a specialized API for each new device type. Middleware is generally defined as a set of services that lie between the application layer and the connectivity layer (Vinoski, 2002). The middleware layer hides the complexity details of the lower layers so that developers can implement portable and interoperable applications. Middleware does not deal with the underlying hardware of the device it is executing on, something that the Operating Systems (OS) does, but it rather mediates between software layers. In Pervasive computing, middleware architectures provide a set of core services that hide the heterogeneity of devices in ambient environments and enable their services to be exposed at the application layer (Saha et al., 2003). Examples of these services include service discovery and execution, context-awareness, trust and security and semantic matching. Currently middleware technologies such as the Universal Plug and Play (UPnP) (Presser et al., 2008) and the Open Services Gateway initiative (OSGi) (OSGi Alliance, 2008; Marples & Kriens, 2001) contribute towards this objective but only at the local area network level.

Key Terms in this Chapter

Service Composition: A methodology for combining simple (atomic) services into more complex (composite) services.

Peer-to-Peer Overlay Networks: “Peer-to-peer overlay systems go beyond services offered by client-server systems by having symmetry in roles where a client may also be a server. It allows access to its resources by other systems and supports resource sharing, which requires fault-tolerance, self-organization, and massive scalability properties. Unlike Grid systems, P2P overlay networks do not arise from the collaboration between established and connected groups of systems and without a more reliable set of resources to share”, as defined in Lua et al. (2005).

Pervasive Connectivity: The ability to provide network connectivity while dealing seamlessly with firewall traversals, network address translators, mobility (IP changes) and the issues of service-level naming and addressing.

Service discovery: “Service discovery protocols are network protocols which allow automatic detection of devices and services offered by these devices on a computer network”, as defined in Wikipedia (

Pervasive Computing: “Ubiquitous computing (ubicomp) is a post-desktop model of human-computer interaction in which information processing has been thoroughly integrated into everyday objects and activities. In the course of ordinary activities, someone “using” ubiquitous computing engages many computational devices and systems simultaneously, and may not necessarily even be aware that they are doing so”, as defined in Wikipedia (

OSGi: “The OSGi Alliance (formerly known as the Open Services Gateway initiative, now an obsolete name) is an open standards organization founded in March 1999. The Alliance and its members have specified a Java-based service platform that can be remotely managed. The core part of the specifications is a framework that defines an application life cycle management model, a service registry, an Execution environment and Modules. Based on this framework, a large number of OSGi Layers, APIs, and Services have been defined“, as defined by Wikipedia (

Middleware: “Middleware is computer software that connects software components or applications. The software consists of a set of services that allow multiple processes running on one or more machines to interact across a network. This technology evolved to provide for interoperability in support of the move to coherent distributed architectures, which are used most often to support and simplify complex, distributed applications. It includes web servers, application servers, and similar tools that support application development and delivery. Middleware is especially integral to modern information technology based on XML, SOAP, Web services, and service-oriented architecture”, as defined in Wikipedia (

Service-Oriented Architecture: The Organization for the Advancement of Structured Information Standards (OASIS, 2008) defines SOA as “A paradigm for organizing and utilizing distributed capabilities that may be under the control of different ownership domains. It provides a uniform means to offer, discover, interact with and use capabilities to produce desired effects consistent with measurable preconditions and expectations”.

Semantic Web: “The Semantic Web is an evolving extension of the World Wide Web in which the semantics of information and services on the web is defined, making it possible for the web to understand and satisfy the requests of people and machines to use the web content. It derives from World Wide Web Consortium Drector Sir Tim Berners-Lee’s vision of the Web as a universal medium for data, information, and knowledge exchange”, as defined in Wikipedia (

Service: The Organization for the Advancement of Structured Information Standards (OASIS, 2008) defines service as “A mechanism to enable access to one or more capabilities, where the access is provided using a prescribed interface and is exercised consistent with constraints and policies as specified by the service description”.

Complete Chapter List

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Editorial Advisory Board
Table of Contents
Omer F. Rana
Nick Antonopoulos, Georgios Exarchakos, Maozhen Li, Antonio Liotta
Chapter 1
Danny Hughes, Geof Coulson, James Walkerdine
Peer-to-peer file sharing has become popular for many kinds of resource location and distribution applications including file sharing, distributed... Sample PDF
A Survey of Peer-to-Peer Architectures for Service Oriented Computing
Chapter 2
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Advances in Grid computing are stimulating the emergence of novel types of Grids. Accessible Grids, manageable Grids, interactive Grids and personal... Sample PDF
Taxonomy of Grid Systems
Chapter 3
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Peer-to-peer (P2P) networks attract attentions worldwide with their great success in file sharing networks (e.g., Napster, Gnutella, BitTorrent, and... Sample PDF
Peer-to-Peer Search Techniques for Service-Oriented Computing
Chapter 4
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Much recent work on building scalable peer-to-peer (P2P) systems has focused on distributed hash tables (DHTs), which have become in a powerful... Sample PDF
A Survey of Efficient Resource Discovery Techniques on DHTs
Chapter 5
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Semantic Technologies for Distributed Search P2P Networks
Chapter 6
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Grid, P2P and SOA Orchestration: An Integrated Application Architecture for Scientific Collaborations
Chapter 7
Elias S. Manolakos, Demetris G. Galatopoullos
The vision of pervasive computing is to create and manage computational spaces where large numbers of heterogeneous devices collaborate... Sample PDF
Service-Oriented Architectures for Pervasive Computing
Chapter 8
Farag Azzedin, Mohamed Eltoweissy, Salman Ahmad Khwaja
The P2P computing is one of the technologies that is having a significant impact on the way Internet-scale systems are built. It is well established... Sample PDF
Overview of Service Oriented Architecture for Resource Management in P2P Systems
Chapter 9
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Chapter 10
P2P Network Management  (pages 226-244)
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P2P Network Management
Chapter 11
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Chapter 12
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Peer-to-Peer Service Discovery for Grid Computing
Chapter 13
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Chapter 14
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The data transport structure of the modern networks is moving toward a model of high-speed packet/frame/timeslot capable... Sample PDF
P2P in Scalable Cross-Layer Control Planes of Next Generation Networks
Chapter 15
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Distributed Indexing Networks for Efficient Large-Scale Group Communication
Chapter 16
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Adaptive Query Processing in Data Grids
Chapter 17
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Distributed and Adaptive Service Discovery Using Preference
Chapter 18
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Cooperation Incentives: Issues and Design Strategies
Chapter 19
Liangxiu Han
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Exploiting P2P and Grid Computing Technologies for Resource Sharing to Support High Performance Distributed System
Chapter 20
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Chapter 21
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The fluctuation in resource availability, as well as the uncertainties in relation to requirements for applications, call for the implementation of... Sample PDF
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Chapter 22
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Improving Energy-Efficiency of Computational Grids via Scheduling
Chapter 23
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Dynamic Overlay Networks for Robust and Scalable Routing
Chapter 24
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A Fault Tolerant Decentralized Scheduling in Large Scale Distributed Systems
Chapter 25
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Maintaining Redundancy in Peer-to-Peer Storage Systems
Chapter 27
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Making Scientific Applications on the Grid Reliable Through Flexibility Approaches Borrowed from Service Compositions
Chapter 28
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A General Framework for the Modeling and Simulation of Grid and P2P Systems
Chapter 29
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Chapter 30
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Chapter 31
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Electronic Business Contracts Between Services
Chapter 32
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Trust and Fairness Management in P2P and Grid Systems
Chapter 33
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Chapter 34
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Taking Trust Management to the Next Level
Chapter 35
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Designing Grid Security Infrastructures Using Identity-Based Cryptography
Chapter 36
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Enforcing Fairness in Asynchronous Collaborative Environments
Chapter 37
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Service Providers Indexing Using P2P Systems
Chapter 38
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SIP Protocol for Supporting Grid Computing
Chapter 39
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Agent-Based Infrastructure for Dynamic Composition of Grid Services
Chapter 40
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Exploiting P2P Solutions in Telecommunication Service Delivery Platforms
Chapter 41
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Fednets: P2P Cooperation of Personal Networks Access Control and Management Framework
Chapter 42
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Overlay-Based Middleware for the Pervasive Grid
Chapter 43
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Chapter 44
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Service-Oriented Symbolic Computations
Chapter 46
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