A human-centered pervasive computing system model

2006 ◽  
Author(s):  
Zhenjiang Miao ◽  
Baozong Yuan
Keyword(s):  
Pervasive Computing ◽  
Computing System ◽  
System Model

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.

scholarly journals Reliability Analysis of a Home-scale Microgrid Based on a Threshold System

2021 ◽  
pp. 14-26
Author(s):  
Taufal Hidayat ◽  
Ali Muhammad Rushdi
Keyword(s):  
System Reliability ◽  
Recursive Algorithm ◽  
Computing System ◽  
System Model ◽  
Threshold Function ◽  
Scale Model ◽  
Switching Function ◽  
Power Method ◽  
Banzhaf Index ◽  
Success Function

The reliability of a microgrid power system is an important aspect to analyze so as to ascertain that the system can provide electricity reliably over a specified period of time. This paper analyzes a home-scale model of a microgrid system by using the threshold system model (inadvertently labeled as the weighted k-out-of-n:G system model), which is a system whose success is treated as a threshold switching function. To analyze the reliability of the system, we first proved that its success is a coherent threshold function, and then identified possible (non-unique) values for its weights and threshold.  Two methods are employed for this. The first method is called the unity-gap method and the second is called the fair-power method. In the unity-gap method, we utilize certain dominations and symmetries to reduce the number of pertinent inequalities (turned into equations) to be solved. In the fair-power method, the Banzhaf index is calculated to express the weight of each component as its relative power or importance. Finally, a recursive algorithm for computing system reliability is presented. The threshold success function is verified to be shellable, and the non-uniqueness of the set of weights and thresholds is demonstrated to be of no detrimental consequence, as different correct sets of weights and threshold produce equivalent expressions of system reliability.

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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