This paper incorporates robustness into neural network modeling and proposes a novel two-phase robustness analysis approach for determining the optimal feedforward neural network (...
Product-line architectures (PLA)s are an emerging paradigm for developing software families for distributed real-time and embedded (DRE) systems by customizing reusable artifacts,...
Arvind S. Krishna, Aniruddha S. Gokhale, Douglas C...
MapReduce provides a parallel and scalable programming model for data-intensive business and scientific applications. MapReduce and its de facto open source project, called Hadoop...
The proprietary nature of existing Content Delivery Networks (CDNs) means they are closed and do not naturally cooperate, resulting in “islands” of CDNs. Finding ways for dist...
Al-Mukaddim Khan Pathan, James Broberg, Kris Buben...
The conventional computing Grid has developed a service oriented computing architecture with a superlocal resource management and scheduling strategy. This architecture is limited...