D4.3.1 - Data Centric Resource Management Description of the deliverable content and purpose The objective of D4.3.1 is to present and define the Task 4.3 follows two main directions: (i) resource management, and (ii) re-configurability and programming models. Despite existing techniques in both domains, an effective and efficient solution, which can meet specific requirements of tiny devices such as sensor nodes that have very limited resources available, is strongly missing. This is the goal of Task 4.3, therefore, to move beyond the state-of-the-art, define, and design data centric resource management concept and framework suitable for sensor nodes and networks. This deliverable reports on the first steps taken and initial results obtained in the path towards achieving the objectives of Task 4.3. To this end, Section 2 - introduces general concepts of resource management and re-configurability. Section 3 - defines more clearly the problem statement, a taxonomy is presented to evaluate the existing solutions and applies this taxonomy to the state of the art. This section also discusses the shortcomings and gaps of the state of the art and motivates the solutions proposed in Section 4 -. Subsection 4.1.1 presents a programming language and runtime environment called SensorScheme and allows programmers to add new abstractions themselves. It presents a complete technical specification and an initial evaluation showing how some frequent WSN applications can be programmed using SensorScheme. Alongside our focus on SensorScheme, in Subsection 4.1.2 we make a proposal to investigate the potential use of model driven development in the context of wireless sensor networks. Our objective here will be to determine if, where, and how, MDD could make a contribution to the programming models used in wireless sensor networking. Subsection 4.2 proposes the e-Sense approach for Resource Management, which will be based on local short timescale resource management techniques, thus the network can react and be proactive to small time scale local changes. Additionally a more global resource management approach considering the larger picture of sensor networks tasks will be taken into account through a distributed broker for large scale resource management. Subsection 4.2.2.1 presents an initial evaluation of a very specific solution based on distributed resource management using synchronised data distribution. Finally, Section 5 - gives some concluding remarks and indicates the future work that will be carried out in Task 4.3.
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