Extending Pervasive Devices with the Semantic Grid: A Service Infrastructure Approach

Guan, Tao; Zaluska, Ed; Roure, David De

doi:10.1109/cit.2006.91

Cited by 9 publications

(11 citation statements)

References 14 publications

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“…To address some of the described challenges, the use of a proxy has been proposed [16,31,51,60]. All communication between the mobile application and remote service passes through the proxy.…”

Section: Using Proxiesmentioning

confidence: 99%

A Proxy-Based Mobile Computing Infrastructure

Khalaj

Lutfiyya

Perry

2012

2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing

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In recent years, there has been a huge growth in mobile applications. More mobile users are able to access Internet services via their mobile devices e.g., smartphones and tablets. Some of these applications are highly interactive and resource intensive. Mobile applications, with limited storage capacity, slow processors and limited battery life, could be connected to the remote servers in clouds for leveraging resources. For example, weather applications use a remote service that collects weather data and make this data available through a well-defined API. This represents a static partitioning of functionality between mobile devices and a remote server that is determined at run-time.Regardless of the network distance between the cloud infrastructure and the mobile device, the use of a remote service is well suited for mobile device applications with relatively little data to be transferred. However, long distances between a mobile device and remote services make this approach unsuitable for applications that require larger amounts of data to be transferred and/or have a high level of interactiveness with the user This includes mobile video communications (e.g., Skype, Face-Time, Google-Hangout), gaming applications that require sophisticated rendering and cloud media analysis that can be used to offer more personalized services. The latency incurred with this architecture makes it difficult to support real-time and interactive applications. A related problem is that the static partitioning strategy is not always suitable for all network conditions and inputs. For example, let us consider a speech recognition application. The performance depends on the size of the input and the type of connectivity to the backbone. Another challenge is that the communication medium between the mobile application and the remote service includes wireless links. Wireless links are more error prone and have less bandwidth than wired links. Often a mobile application may be disconnected.One approach to addressing these challenges is the use of a proxy. A proxy is computing power that is located at the network edge. This allows it to address problems with latency. It is possible for a proxy to have services that allow for offloading tasks from either the cloud or the mobile device and to deal with communication challenges between the mobile application and the mobile device.This work proposes a proxy-based system that acts as a middleware between the mobile application and the remote service. The proposed middleware consists of a set of proxies that provide services. The proposed middleware includes services for proxy discovery and selection, mechanisms for dealing with balancing loads on proxies and handoff. A prototype was developed to assess the effectiveness of the proposed proxy-based system.

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Section: Using Proxiesmentioning

confidence: 99%

A Proxy-Based Mobile Computing Infrastructure

Khalaj

Lutfiyya

Perry

2012

2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing

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Section: Service Contextmentioning

confidence: 99%

“…The detailed challenges are discussed in Roure et al (2006). In the previous paper (Guan et al, 2006), we discussed a system architecture which integrates pervasive devices into the service-oriented grid environment in an open and flexible way. Another important challenge is that at present, grid service description and discovery mechanisms are still at an immature stage.…”

Section: Introductionmentioning

confidence: 99%

An autonomic service discovery mechanism to support pervasive devices accessing the semantic grid

Guan

Zaluska

Roure

2009

IJAC

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Abstract:One of the essential challenges of integrating pervasive devices into a grid environment to enhance pervasive device capabilities is that pervasive devices need to locate, find, select and invoke the appropriate grid services in an autonomic and flexible way. However, at this stage, both grid service description and discovery standards are still at an immature stage. This paper presents the research work of building a grid service discovery middleware with semantic web technologies. Semantic web technologies benefit the demand of an efficient discovery of various grid services for pervasive devices by adding machine-processable explicit knowledge into the interaction between pervasive devices and grid services. The middleware has been implemented and interact correctly with other service-oriented pervasive grid middleware, providing an enhanced grid access for pervasive devices.

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“…The top-level of the context ontology is expressed as six classes, which covers the most basic elements of the service, and together with their subclasses form a basic framework of the environment context information. The detailed design of the context ontology is discussed in our previous paper (Guan et al 2006 Service context attributes are required when describing a Grid service. At present, we consider two context attributes in the Grid service description: the first is the service location, which corresponds to the "Place" class of the environment context ontology; the other is the service access range, based on which a service discovery restricting mechanism is implemented.…”

Section: Service Contextmentioning

confidence: 99%

“…The detailed challenges are discussed in ). In the previous paper (Guan et al 2006), we discussed a system architecture which integrates pervasive devices into the service-oriented Grid environment in an open and flexible way. Another important challenge is that at present, Grid service description and discovery mechanisms are still at an immature stage.…”

Section: Introductionmentioning

confidence: 99%

An Autonomic Service Discovery Mechanism to Support Pervasive Device Accessing Semantic Grid

Guan

Zaluska

Roure

2007

Fourth International Conference on Autonomic Computing (ICAC'07)

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One of the essential challenges of integrating pervasive devices into Grid environment to enhance pervasive device capabilities is that pervasive devices need to locate, find, select and invoke the appropriate Grid services in an autonomic and flexible way. However, at this stage, both Grid service description and discovery standards are still at an immature stage. This paper presents the research work of building a Grid service discovery middleware with Semantic Web technologies. Semantic Web technologies benefit the demand of an efficient discovery of various Grid services for pervasive devices by adding the machine-processable explicit knowledge into the interaction between pervasive devices and Grid services. The middleware has been implemented and interact correctly with other service-oriented pervasive Grid middleware, providing an enhanced Grid access for pervasive devices.

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Extending Pervasive Devices with the Semantic Grid: A Service Infrastructure Approach

Abstract: Abstract

Cited by 9 publications

References 14 publications

A Proxy-Based Mobile Computing Infrastructure

A Proxy-Based Mobile Computing Infrastructure

An autonomic service discovery mechanism to support pervasive devices accessing the semantic grid

An Autonomic Service Discovery Mechanism to Support Pervasive Device Accessing Semantic Grid

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