The nesC language: A holistic approach to networked embedded systems
PLDI '03 Proceedings of the ACM SIGPLAN 2003 conference on Programming language design and implementation
An Adaptive Policy-Based Framework for Network Services Management
Journal of Network and Systems Management
GlueQoS: Middleware to Sweeten Quality-of-Service Policy Interactions
Proceedings of the 26th International Conference on Software Engineering
A Goal-based Approach to Policy Refinement
POLICY '04 Proceedings of the Fifth IEEE International Workshop on Policies for Distributed Systems and Networks
Concurrency and Computation: Practice & Experience - First International Workshop on Emerging Technologies for Next-generation GRID (ETNGRID 2004)
Autonomous Pervasive Systems and the Policy Challenges of a Small World!
POLICY '07 Proceedings of the Eighth IEEE International Workshop on Policies for Distributed Systems and Networks
Policy Analysis Using a Hybrid Semantic Reasoning Engine
POLICY '07 Proceedings of the Eighth IEEE International Workshop on Policies for Distributed Systems and Networks
Semantics and routing in wireless sensor networks: challenges and opportunities
GIIS'09 Proceedings of the Second international conference on Global Information Infrastructure Symposium
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Contemporary distributed software systems for realistic business applications have become extremely heterogeneous, dynamic and large scale. They offer services to many different types of users and include various hardware such as backend servers, regular PCs and various mobile and embedded devices, as well as diverse network infrastructures, such as sensor networks. However, managing these systems is typically a complicated task due to several factors. This paper proposes a policy-based approach that offers a higher level of abstraction to manage these distributed applications in an easier way. We first give an overview of existing research on policies in traditional middleware and describe some of the shortcomings when applying them for managing sensor networks. Secondly, we propose an architecture for a policy-driven middleware that addresses these limitations and provides a solution for them.