Program control language: a programming language for adaptive distributed applications

TL;DR: This chapter presents the main ideas of the high-performance component-based Grid programming environment of the Grid.it project and shows that ASSIST, the prototype of parallel programming environment currently under development at the group, is a suitable basis to capture all the desired features of the component model in a flexible and efficient manner.

TL;DR: A runtime algorithm for supporting adaptive execution for distributed data mining on streaming data that is able to quickly converge to stable values of the adaptation parameter, for different data arrival rates, and independent of the specified initial value.

TL;DR: A general coupling framework (GCF) is described that allows the construction of flexible coupled models and a proof‐of‐concept performance prediction algorithm is presented, based on the descriptions of GCF and PERCO.

TL;DR: The Globus system is intended to achieve a vertically integrated treatment of application, middleware, and net work, an integrated set of higher level services that enable applications to adapt to heteroge neous and dynamically changing metacomputing environ ments.

TL;DR: Charm++ is an explicitly parallel language consisting of C++ with a few extensions that provides a clear separation between sequential and parallel objects and helps one write programs that are latency-tolerant.

TL;DR: ADL features which permit the description of dynamic software architectures in which the organisation of components and connectors may change during system execution are examined.

TL;DR: This work presents Simgrid a simulation toolkit for the study of scheduling algorithms for distributed application, giving the main concepts and models behind Simgrid, its API and current implementation issues, and describes work that builds on Simgrid's functionalities.