Research of Pervasive Computing System Support Theory

2010 ◽  
Author(s):  
Liu Yanjun ◽  
Wu Wei ◽  
Li Bo ◽  
He Chengming
Keyword(s):  
Pervasive Computing ◽  
Computing System ◽  
System Support ◽  
Support Theory

System Support for Smart Spaces

2011 ◽  
pp. 182-196
Author(s):  
Francisco J. Ballestero ◽  
Enrique Soriano ◽  
Gorka Guardiola
Keyword(s):  
Activity Recognition ◽  
Pervasive Computing ◽  
Context Awareness ◽  
Support Services ◽  
System Level ◽  
System Support ◽  
Smart Spaces ◽  
Human Aspects ◽  
Full Discussion ◽  
Build Systems

There are some important requirements to build effective smart spaces, like human aspects, sensing, activity recognition, context awareness, etc. However, all of them require adequate system support to build systems that work in practice. In this chapter, we discuss system level support services that are necessary to build working smart spaces. We also include a full discussion of system abstractions for pervasive computing taking in account naming, protection, modularity, communication, and programmability issues.

scholarly journals Co-Designing Ambient Assisted Living (AAL) Environments: Unravelling the Situated Context of Informal Dementia Care

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Amy S. Hwang ◽  
Khai N. Truong ◽  
Jill I. Cameron ◽  
Eva Lindqvist ◽  
Louise Nygård ◽  
...  
Keyword(s):  
Pervasive Computing ◽  
Assisted Living ◽  
Participatory Design ◽  
Ambient Assisted Living ◽  
System Support ◽  
Care Experience ◽  
Everyday Activities ◽  
Age In Place ◽  
Care Partners ◽  
Do It Yourself

Ambient assisted living (AAL) aims to help older persons “age-in-place” and manage everyday activities using intelligent and pervasive computing technology. AAL research, however, has yet to explore how AAL might support or collaborate with informal care partners (ICPs), such as relatives and friends, who play important roles in the lives and care of persons with dementia (PwDs). In a multiphase codesign process with six (6) ICPs, we envisioned how AAL could be situated to complement their care. We used our codesigned “caregiver interface” artefacts astriggersto facilitate envisioning of AAL support and unpack the situated, idiosyncratic context within which AAL aims to assist. Our findings suggest that AAL should be designed to support ICPs in fashioning “do-it-yourself” solutions that complement tacitly improvised care strategies and enable them to try, observe, and adapt to solutions over time. In this way, an ICP could decide which activities to entrust to AAL support, when (i.e., scheduled or spontaneous) and how a system should provide support (i.e., using personalized prompts based on care experience), and when adaptations to system support are needed (i.e., based alerting patterns and queried reports). Future longitudinal work employing participatory, design-oriented methods with care dyads is encouraged.

scholarly journals Computational Enhancements of Wearable Healthcare Devices on Pervasive Computing System

2020 ◽  
Vol 2 (2) ◽  
pp. 98-108
Author(s):  
Dr. Subarna Shakya
Keyword(s):  
Health Care ◽  
Pervasive Computing ◽  
Communication Technologies ◽  
Computing System ◽  
Allocation Of Resources ◽  
User Requirement ◽  
Elastic Computing ◽  
Under Construction ◽  
And Storage ◽  
The Internet Of Things

The diverse user demands in the system supported with the internet of things are often managed efficiently, using the computing system that is pervasive. Pervasive computing system in an integration of heterogeneous distributed network and communication technologies and other referred as the ubiquitous computing. All though it handles the user requirement properly. The ingenuousness in the conveyance of the information, in the standard of handling and extending the heterogeneity assistance for the dispersed clients are still under construction in the as it is very challenging in the pervasive computing system. In order to provide proper and a steadfast communication for the users using an IOT based wearable health care device the paper introduces the new dispersed and elastic computing model (DECM). The developed system utilizes the recurrent-learning for the examining the allocation of resources according to the requirements as well as the allotment aspects. Based on the determined requirements of the resources, the pervasive computing system provide services to the user in the end with minimized delay and enhanced rate of communication for the health care wearable devices. The developed system emphasis also on managing the mobility, apart from allocation of resources and distribution for proper data conveyance over the wearable health care device. The working of the laid out system is determined by the experimental analysis. The constancy of the model developed is demonstrated utilizing the metrics such as the failure of request, time of response, managed and backlogged requests, bandwidth as well as storage used. The developed model heightens the number of request managed properly (handled) along with the bandwidth and storage and minimizes the failure in requests, backlogs and the time taken for response.

From SOA to Pervasive Service Ecosystems

2012 ◽  
pp. 207-237 ◽  
Author(s):  
Mirko Viroli ◽  
Franco Zambonelli ◽  
Graeme Stevenson ◽  
Simon Dobson
Keyword(s):  
Pervasive Computing ◽  
Computing System ◽  
Semantic Web Technologies ◽  
Service Oriented Architectures ◽  
Pervasive Service ◽  
Service Oriented ◽  
Service Ecosystems ◽  
Open Service ◽  
The Individual ◽  
General Architecture

Emerging pervasive computing scenarios require open service frameworks promoting situated adaptive behaviors and supporting diversity in services and long-term ability to evolve. The authors argue that this calls for a nature-inspired approach in which pervasive services are modeled and deployed as autonomous individuals in an ecosystem of other services, data sources, and pervasive devices. They discuss how standard service-oriented architectures have to evolve to tackle the above issues, present a general architecture based on a shared spatial substrate mediating interactions of all the individual services of the pervasive computing system, and finally show that this architecture can be implemented relying primarily on standard W3C Semantic Web technologies, like RDF and SPARQL. A use case of adaptive pervasive displays for crowd steering applications is exploited as reference example.

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