Return
Programming mobile context-aware applications with TOTAM
DOI:10.1016/j.jss.2013.07.031.png)
Abstract
En 中文
In tuple space approaches to context-aware mobile systems, the notion of context is defined by the presence or absence of certain tuples in the tuple space. Existing approaches define such presence either by collocation of devices holding the tuples or by replication of tuples across all devices. We show that both approaches can lead to an erroneous perception of context. Collocation ties the perception of context to network connectivity which does not always yield the expected result. Tuple replication can cause that a certain context is perceived even if the device has left the context a long time ago. We propose a tuple space approach in which tuples themselves carry a predicate that determines whether they are in the right context or not. We present a practical API for our approach and show its use by means of the implementation of various mobile applications. Benchmarks show that our approach can lead to a significant increase in performance compared to other approaches. (C) 2013 Elsevier Inc. All rights reserved.
Keywords:
Tuple spaces
Programming abstractions
Context-awareness
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.1
Papers:
5.5K
Citations:
8.4K
Organization
Cited Papers
50 years of rational‐emotive and cognitive‐behavioral therapy: A systematic review and meta‐analysis
no more

