Part I: Sensors' Infrastructure -- 1. Grid Computations Not on the Computing Element: The Instrument Element as an Interface to a Control System for On-line HTC Tasks -- 2. Performance Evaluation of the of the DORRI Instrument Element Data Transfer Capabilities -- 3. The Green Grid5000: Instrumenting a Grid with Energy Sensors -- 4. Porting a Seismic Network to the Grid -- 5. Integrating a Multisensor Mobile System in the Grid Infrastructure -- 6. Network Performance Monitoring for Remote Instrumentation Services - The DORII Platform Test Case.- Part II: Software Platforms -- 7. Sortism: A High-Level Simulator for the Evaluation of QoS Models on Grid -- 8. MRA3D: A New Algorithm for Resource Allocation in a Network-aware Grid -- 9. Large-scale Quantum Monte Carlo Electronic Structure Calculations on the EGEE Grid -- 10. Generating a Virtual Computational Grid by Graph Transformations -- 11. Performance Analysis Framework for MPI Application Support on the Remote Instrumentation Grid -- Part III: Grid Infrastructure -- 12. Interactive Grid Access with MPI Support Using Gridsolve on GLITE-Infrastructures -- 13. Enforcing Team Cooperation Using Rational Software Tools into Software Engineering Academic Projects (ETC) -- 14. Defense in Depth Strategy - Best Practices of Securing Virtual Laboratories -- 15. File System and Access Technologies for the Large Scale Data Facility -- 16. Policy Driven Data Management in PL-grid Virtual Organizations -- 17. DAME: A Distributed Data Mining and Exploration Framework within the Virtual Observatory -- 18. New Teaching Technologies in Environmental Science - Interactive Teaching with KIWI Remote Instrumentation Platform -- 19. An Agent Service Grid for Supporting Open and Distance Learning -- 20. Laboratories and Complex Systems.

Making scientific instruments a manageable resource over distributed computing infrastructures such as the grid has been a key focal point of e-science research in recent years. It is now known by the generic term ‘remote instrumentation’, and is the subject of this useful volume that covers a range of perspectives on the topic reflected by the contributions to the 2010 workshop on remote instrumentation held in Poznań, Poland. E-science itself is a complex set of disciplines requiring computationally intensive distributed operations, high-speed networking, and collaborative working tools. As such, it is most often (and correctly) associated with grid- and cloud-computing infrastructures and middleware. The contributions to this publication consider broader aspects of the theme of remote instrumentation applied to e-science, as well as exploring related technologies that enable the implementation of truly distributed and coordinated laboratories. Among the topics discussed are remote instrumentation and sensors' infrastructure, virtual laboratories and observatories, architectural middleware elements, advanced grid and cloud computing, virtual machines, and software platforms. As the potential fruits of distributed e-science enquiry expand, this book enables researchers in the sector to keep abreast of very latest developments.