Scientific instruments, such as radio telescopes, colliders, sensor networks, and simulators generate very high volumes of data streams that scientists analyze to detect and under...
Ever-increasing complexity of large-scale applications and continuous increases in sizes of the data they process make the problem of maximizing performance of such applications a...
Mahmut T. Kandemir, Seung Woo Son, Mustafa Karak&o...
The efficient execution of integration processes between distributed, heterogeneous data sources and applications is a challenging research area of data management. These inn proc...
The development of technologies to address machine translation and distillation of multilingual broadcast data depends heavily on the collection of large volumes of material from ...
The growing computational power requirements of grand challenge applications has promoted the need for linking highperformance computational resources distributed across multiple ...