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Impala: a Middleware System for Managing Autonomic, Parallel Sensor Systems by Ting Liu; Margaret Martonosi is a Computer Science article available to read on EtoBox.

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Sensor networks are long-running computer systems with many sensing/compute nodes working to gather information about their environment, process and fuse that information, and in some cases, actuate control mechanisms in response. Like traditional parallel systems, communication between nodes is of fundamental importance, but is typically accomplished via wireless transceivers. One further key attribute of sensor networks is that they are almost always long running systems, intended to operate in situ, with minimal direct human intervention, for months or years. This requirement for long-running autonomy mandates careful design of the runtime system that manages applications on each node, to ensure reliability and ease of upgrades over the life of the system.This paper describes Impala, a middleware architecture that enables application modularity, adaptivity, and repair-ability in wireless sensor networks. Impala allows software updates to be received via the node's wireless transceiver and to be applied to the running system dynamically. In addition, Impala also provides an interface for on-the-fly application adaptation in order to improve the performance, energy-efficiency, and

Who reads Impala: a Middleware System for Managing Autonomic, Parallel Sensor Systems?

Author

Ting Liu; Margaret Martonosi

Publisher

ACM

Published

2003

Language

EN

Field

Computer Science (Physical Sciences)