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Stream languages offer a simple multi-core programming model and achieve good performance. Yet expressing data rearrangement patterns (like a matrix block decomposition) in these languages is verbose and error prone. In this paper, we propose a high-level programming language to elegantly describe n-dimensional data reorganization patterns. We show how to compile it to stream languages.
The main intention of this paper is to introduce a new role-based approach to self-healing monitoring. Together with that we are going to provide an overview of the existing approaches to the monitoring of distributed systems using self healing features. Starting with a discussion of autonomous monitoring systems - the ones that do not need any user interaction to make a decision, we will come to...
In this paper, we present a new platform for migrating applications in/between intelligent computing contexts. We establish the framework through the following technical aspects: application reconstruction, application state recovery, resource rebinding and I/O interface reinstallation. Our goal is to migrate applications seamlessly like a shadow as users change their locations in certain contexts...
Grid and P2P systems have achieved a notable success in the domain of scientific and engineering applications, which commonly demand considerable amounts of computational resources. However, Grid and P2P systems remain still difficult to be used by the domain scientists and engineers due to the inherent complexity of the corresponding middleware and the lack of adequate documentation. In this paper...
The shared data programming model is an attractive grid programming alternative to message passing solutions. This paper addresses type related improvements to a shared data grid programming model, by taking advantage of particular interactions patterns and object semantics which result in a broader set of specialized objects. We present analysis aspects of GUN, a grid service layer solution for shared...
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