This description seems like it could apply to any traditional distributed system. However, a key difference is that many Grids will provide services that are orchestrations of multiple services, hosted on different sites and across organizational and administrative boundaries, thus raising a lot of new issues. The Globus Toolkit currently at version 4 is the accepted reference implementation fo...

In the lifecycle of a software product line (SPL), incremental generalization is usually required to extend the variability of existing core assets to support the new or changed application requirements. In addition, the generalization should conform to the evolved SPL requirements which are usually represented by a feature model. In this paper, we propose a featuredriven and incremental variab...

OBJECTIVE Therapist adherence is a quality indicator in routine clinical care when evaluating the success of the implementation of an intervention. The current study investigated whether therapist adherence mediates the association between therapist, team, and country-wide experience (i.e. number of years since implementation in the country) on the one hand, and treatment outcome on the other h...

Integrating heterogeneous data sets has been a significant barrier to many analytics tasks, due to the variety in structure and level of cleanliness of raw data sets requiring one-off ETL code. We propose HiperFuse, which significantly automates the data integration process by providing a declarative interface, robust type inference, extensible domain-specific data models, and a data integratio...

This paper presents the Computoser hybrid probability/rule based algorithm for music composition (http://computoser.com) and provides a reference implementation. It addresses the issues of unpleasantness and lack of variation exhibited by many existing approaches by combining the two methods (basing the parameters of the rules on data obtained from preliminary analysis). А sample of 500+ musica...

1 Authors are listed in alphabetical order 2 Mary M. Eshaghian-Wilner is a Patent Agent at the Electronics Practice Group of Foley & Lardner, LLP. She is also an Adjunct Professor of Electrical Engineering at the University of California, Los Angeles. Abstract In this paper, we study the algorithm design aspects of three newly developed spin-wave architectures. The architectures are capable of ...

Networked computing has become a popular method for using parallelism to solve a variety of computa-tionally intense problems. However, high communication costs and processor heterogeneity may limit performance unless the problem space is carefully partitioned. We propose a decomposition advisory system that is designed to help choose the best data partitioning strategy. The goal of this resear...

OBJECTIVE For the aim of improving the implementation of a health-promoting intervention for older persons who are born abroad, this study aimed to explore health care professionals' experiences of facilitators and barriers for their possibilities to support a healthy ageing in the context of migration. METHODS Qualitative data were collected from four focus groups with health professionals w...

Handling skew is one of the major challenges in query processing. In distributed computational environments such as MapReduce, uneven distribution of the data to the servers is not desired. One of the dominant measures that we want to optimize in distributed environments is communication cost. In a MapReduce job this is the amount of data that is transferred from the mappers to the reducers. In...

Monitoring and controlling business processes is a challenging task: different data sources need to be combined, appropriate visualizations need to be defined to observe certain goals or Key Performance Indicators (KPI). In this paper, a new semantic dashboard description language used in a process-oriented dashboard design methodology is introduced, to help users focus more on business process...