Scientific workflows play an important role in today’s science. Many disciplines rely on workflow technologies to orchestrate the execution of thousands of computational tasks. ...
A major hurdle facing data intensive grid applications is the appropriate handling of failures that occur in the grid-environment. Implementing the fault-tolerance transparently a...
Applications that use collections of very large, distributed datasets have become an increasingly important part of science and engineering. With high performance wide-area networ...
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
—For many organizations, one attractive use of cloud resources can be through what is referred to as cloud bursting or the hybrid cloud. These refer to scenarios where an organiz...