Evaluation of Quality Measure Factors for the Middleware Based Context-Aware Applications
Di Zheng, Jun Wang, Ben Kerong
Abstract
Di Zheng, Jun Wang, Ben Kerong
Abstract
With the rapid development of the information technology, it is inevitable that the distributed mobile computing will evolve to the pervasive computing gradually whose final goal is fusing the information space composed of computers with the physical space in which the people are working and living in. To achieve this goal, one of the problems is how to continuously monitor/capture and interpret the environment related information efficiently to assure high context awareness. One of the attentions has been paid to the research of the context-aware pervasive applications is the quality measure for the context. However, existing research just take the Quality of Context (QoC) into account in several aspects. Therefore, we have analyzed all the possible factors that affecting the quality of the context. Furthermore, based on our context-aware framework supporting QoC management, we can use these factors to refinery raw context, discard duplicate and inconsistent context so as to protect and provide QoS-enriched context information of users to context-aware applications and services.
OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
With the rapid development of the information technology, it is inevitable that the distributed mobile computing will evolve to the pervasive computing gradually whose final goal is fusing the information space composed of computers with the physical space in which the people are working and living in. To achieve this goal, one of the problems is how to continuously monitor/capture and interpret the environment related information efficiently to assure high context awareness. One of the attentions has been paid to the research of the context-aware pervasive applications is the quality measure for the context. However, existing research just take the Quality of Context (QoC) into account in several aspects. Therefore, we have analyzed all the possible factors that affecting the quality of the context. Furthermore, based on our context-aware framework supporting QoC management, we can use these factors to refinery raw context, discard duplicate and inconsistent context so as to protect and provide QoS-enriched context information of users to context-aware applications and services.
Key concepts: Computer science, Context (archaeology), Ubiquitous computing, Middleware (distributed applications), Context management, Quality (philosophy), Context awareness, Measure (data warehouse)