A Rapid Development Approach for Signal Strength Based Location Systems
10.1109/ipc.2007.62 , 10.1109/ipc.2007.110 , 10.1109/ipc.2007.33 , 10.1109/ipc.2007.112 , 10.1109/ipc.2007.59 , 10.1109/ipc.2007.54 , 10.1109/ipc.2007.78 , 10.1109/ipc.2007.94 , 10.1109/ipc.2007.74 , 10.1109/ipc.2007.81 , 10.1109/ipc.2007.122 , 10.1109/ipc.2007.31 , 10.1109/ipc.2007.69 , 10.1109/ipc.2007.34 , 10.1109/ipc.2007.12 , 10.1109/ipc.2007.23 , 10.1109/ipc.2007.106 , 10.1109/ipc.2007.104 , 10.1109/ipc.2007.53 , 10.1109/ipc.2007.16 , 10.1109/ipc.2007.38 , 10.1109/ipc.2007.68
10.1109/ipc.2007.62 , 10.1109/ipc.2007.110 , 10.1109/ipc.2007.33 , 10.1109/ipc.2007.112 , 10.1109/ipc.2007.59 , 10.1109/ipc.2007.54 , 10.1109/ipc.2007.78 , 10.1109/ipc.2007.94 , 10.1109/ipc.2007.74 , 10.1109/ipc.2007.81 , 10.1109/ipc.2007.122 , 10.1109/ipc.2007.31 , 10.1109/ipc.2007.69 , 10.1109/ipc.2007.34 , 10.1109/ipc.2007.12 , 10.1109/ipc.2007.23 , 10.1109/ipc.2007.106 , 10.1109/ipc.2007.104 , 10.1109/ipc.2007.53 , 10.1109/ipc.2007.16 , 10.1109/ipc.2007.38 , 10.1109/ipc.2007.68
A Rapid Development Approach for Signal Strength Based Location Systems
Pervasive computing calls for applications which are often composed from independent and distributed components using facilities from the environment. This paradigm has evolved into task based computing where the application composition relies on explicit user task descriptions. The composition of applications has to be performed at run-time as the environment is dynamic and heterogeneous due to e.g., mobility of the user. An algorithm that decides on a component set and allocates it onto hosts accordingly to user task preferences and the platform constraints plays a central role in the application composition process. In this paper we will describe an algorithm for task-based application allocation. The algorithm uses micro-genetic approach and is characterized by a very low computational load and good convergence properties. We will compare the performance and the scalability of our algorithm with a straightforward evolutionary algorithm. Besides, we will outline a system for task-based computing where our algorithm is used.
- Tsinghua University China (People's Republic of)
- University of Oulu Finland
- Institute of Science Tokyo Japan
- Yonsei University Korea (Republic of)
- Chonnam National University Korea (Republic of)
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).180 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
Citations provided by BIP!Popularity provided by BIP!