Service Composition Issues in Pervasive Computing

Brnsted, J.; Hansen, Klaus; Ingstrup, Mads Bruun

doi:10.1109/mprv.2010.11

Cited by 92 publications

(53 citation statements)

References 27 publications

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“…The NAID problem is similar to the service matching problem [18]. As in [19], we assume the service specification is known, but while the authors relax the capacity limit to achieve a polynomial time algorithm, we on the other hand focus specifically on these capacity constraints.…”

Section: Related Workmentioning

confidence: 99%

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Shared resource network-aware impact determination algorithms for service workflow deployment with partial cloud offloading

Moens

Turck

2015

Journal of Network and Computer Applications

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Some service providers offer services for which physical devices, terminals and servers are installed at the customer's site, e.g. in a hospital setting where physical terminals are installed in patient rooms and used for communication. These devices work together to provide the service, forming service workflows. Due to a recent trend where parts of the management system for such services is offloaded to cloud environments, such services can no longer be isolated in a private subnet, that is specifically dimensioned for its purpose. Part of the network flows must then pass over a larger section of the customer network, and the network load can increase as new services are added, or when services are upgraded. Because of this, it is important to determine whether there is sufficient network and server capacity in the customer network to add new service workflows before they are deployed, or before an existing service is upgraded, ensuring a sufficient level of quality can be guaranteed.In this article we focus on how the impact of service workflows can be determined, ensuring service workflows do not negatively impact each other's execution. In particular, we determine an impact analysis strategy to evaluate the degree to which a given set of service workflows can be guaranteed in a given network topology. As not all flows are continuously active, the approach is designed to support the sharing of network and server resources using a hierarchically specified resource sharing model. We then evaluate the quality of the resulting solutions using two use cases, and the execution speed of the designed algorithms. For the two evaluation use cases, we find that the developed hierarchical algorithm requires ±42% and ±52% less resources than an approach without resource sharing, without any workflow failures occurring during the simulations.

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Section: Related Workmentioning

confidence: 99%

“…For this we use an expression based on that of Equation (15), but rather than defining it for the total set of commodities C it is used within individual groups. The resulting expression is shown in Equation (18). This expression makes use of a factor OF G which is defined within a group.…”

Section: Adding Resource Sharing: Network Edge Sharingmentioning

confidence: 99%

Shared resource network-aware impact determination algorithms for service workflow deployment with partial cloud offloading

Moens

Turck

2015

Journal of Network and Computer Applications

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“…It can be defined as the ability of a system to detect changes in the environment and to react to those changes, adapting its behavior in consequence [5][21] [29]. During the last decade, a lot of research has been conducted on pervasive systems, mainly on context-aware services [8] According to Eikerling et al [13], context-awareness is necessary for providing adaptable services, for instance, when selecting the best service according to the relevant context or when adapting the service during its execution according to context changes. Such adaptation capabilities are often based on a semantic description of such services.…”

Section: Related Workmentioning

confidence: 99%

A user-centric vision of service-oriented Pervasive Information Systems

Najar

Pinheiro

Grand

et al. 2014

2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS)

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Abstract-Information Systems (IS) have massively adopted service orientation by exposing their functionalities as services. With the evolution of mobile technologies (smartphones, 3G/4G networks, etc.), such systems are now confronted with a new pervasive environment for which they were not originally designed. Indeed, pervasive environments are characterized by their heterogeneity and dynamicity due to their evolving context and their need for transparency. None of these features are particularly considered in traditional IS designed for stable and controlled office environments. In our new vision for serviceoriented Pervasive Information Systems (PIS), the user becomes the center of these systems. This paper presents a user-centric service-oriented vision for PIS based on a context-aware intentional approach, which considers the user intention and the context in which this intention arises as a guiding principle for service description, discovery, prediction and recommendation.

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“…Service orientation and service composition in pervasive computing environments have previously been explored in [7].…”

Section: Related Workmentioning

confidence: 99%

“…This can be done by hand-coding application logic and service invocations or by using a domain specific service composition language [7]. In section IV, we give an example of such a language.…”

Section: ) Composition Layermentioning

confidence: 99%

The HomePort System

Brønsted

Madsen

Skou

et al. 2010

2010 7th IEEE Consumer Communications and Networking Conference

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Abstract-Residential gateways for home automation are prerequisites to obtain optimal exploitation of energy resources, and they also have the potential to provide a unified operation of various home devices and appliances. Although a number of protocol standards have been proposed, the number of commercially available systems are still very limited. One reason for this is the diversity of device manufacturing standards, another is the lack of efficient and expressive middleware for defining control algorithms and usage scenarios. In this paper we present the architectural design of a distributed middleware system for residential gateways including a simple composition language. Also, we present the initial experiences obtained from a prototype implementation of the system.

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Service Composition Issues in Pervasive Computing

Cited by 92 publications

References 27 publications

Shared resource network-aware impact determination algorithms for service workflow deployment with partial cloud offloading

Shared resource network-aware impact determination algorithms for service workflow deployment with partial cloud offloading

A user-centric vision of service-oriented Pervasive Information Systems

The HomePort System

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