Autonomic Management of Hybrid Sensor Grid Systems and Applications

Xiaolin Li, Xinxin Liu, Huanyu Zhao, Nanyan Jiang, M. Parashar
<span title="">2008</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3x67lwnpmjf6xcsnrggez3gqqe" style="color: black;">2008 Proceedings of 17th International Conference on Computer Communications and Networks</a> </i> &nbsp;
In this paper, we propose an autonomic management framework (ASGrid) to address the requirements of emerging large-scale applications in hybrid grid and sensor network systems. To the best of our knowledge, we are the first who proposed the autonomic sensor grid system concept in a holistic manner targeted at non-trivial large applications. To bridge the gap between the physical world and the digital world and facilitate information analysis and decision making, ASGrid is designed to smooth the
more &raquo; ... integration of sensor networks and grid systems and efficiently use both on demand. Under the blueprint of ASGrid, we present several building blocks that fulfill the following major features: (1) Self-configuration through content-based aggregation and associative rendezvous mechanisms; (2) Selfoptimization through utility-based sensor selection and modeldriven hierarchical sensing task scheduling; (3) Self-protection through ActiveKey dynamic key management and S3Trust trust management mechanisms. Experimental and simulation results on these aspects are presented. 978-1-4244-2390-3/08/$25.00 ©2008 IEEE
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