| 70 | | In many distributed computing paradigms, particularly sensor networks and ubiquitous computing (but also grid computing and web services), programmers commonly tie their application to a particular set of processors. This can lead to poor utilisation of resources causing increased compute time, wasted network bandwidth or poor battery life, particularly if later changes to the architecture or application render early decisions inappropriate. This paper describes a system which separates application code from the description of the resources available to execute it. Our framework and prototype compiler determines the best location to execute different parts of the distributed application. In addition, our language encourages the programmer to structure data, and the operations performed on it, as monoids and monoid homomorphisms. This approach enables the compiler to apply particular program transformations in a semantically-safe way, and therefore further increase the flexibility of the assignment of application tasks to available resources. |
| | 70 | In many distributed computing paradigms, especially sensor networks and ubiquitous computing but also grid computing and web services, programmers commonly tie their application to a particular set of processors. This can lead to poor utilisation of resources causing increased compute time, wasted network bandwidth or poor battery life, particularly if later changes to the architecture or application render early decisions inappropriate. |
| | 71 | This paper describes a system which separates application code from the description of the resources available to execute it. |
| | 72 | Our framework and prototype compiler determines the best location to execute different parts of the distributed application. In addition, our language encourages the programmer to structure data, and the operations performed on it, as monoids and monoid homomorphisms. This approach enables the compiler to apply particular program transformations in a semantically-safe way, and therefore further increase the flexibility of the assignment of application tasks to available resources. |
