- Scientific workflows have become an integral part of cyberinfrastructure as their computational complexity and data sizes have grown. However, the complexity of the distributed i...
This paper discusses our experience in building SPIRE, an autonomic system for service provision. The architecture consists of a set of hosted Web Services subject to QoS constrain...
Due to the strong increase of processing units available to the end user, expressing parallelism of an algorithm is a major challenge for many researchers. Parallel applications ar...
Data-intensive parallel applications on clouds need to deploy large data sets from the cloud's storage facility to all compute nodes as fast as possible. Many multicast algori...
Tatsuhiro Chiba, Mathijs den Burger, Thilo Kielman...
This paper studies five real-world data intensive workflow applications in the fields of natural language processing, astronomy image analysis, and web data analysis. Data intensiv...
Grid users may experience inconsistent performance due to specific characteristics of grids, such as fluctuating workloads, high failure rates, and high resource heterogeneity. Alt...
—While computing speed continues increasing rapidly, data-access technology is lagging behind. Data-access delay, not the processor speed, becomes the leading performance bottlen...
In order to address the high performance I/O needs of HPC and enterprise applications, modern interconnection fabrics, such as InfiniBand and more recently, 10GigE, rely on network...