We consider storage in an extremely large-scale distributed computer system designed for stream processing applications. In such systems, incoming data and intermediate results ma...
Kirsten Hildrum, Fred Douglis, Joel L. Wolf, Phili...
Many scientific applications manipulate large amount of data and, therefore, are parallelized on high-performance computing systems to take advantage of their computational power a...
There is a rapidly growing set of applications, referred to as data driven applications, in which analysis of large amounts of data drives the next steps taken by the scientist, e...
Failures of all forms happen: from losing single network packets to site-wide disasters. Since businesses rely heavily on their data, it is imperative that failures require minima...
As Internet applications become larger and more complex, the task of managing them becomes overwhelming. “Abnormal” events such as software updates, failures, attacks, and hots...
Peter Van Roy, Seif Haridi, Alexander Reinefeld, J...