Data Stream Management Systems are useful when large volumes of data need to be processed in real time. Examples include monitoring network traffic, monitoring financial transacti...
Theodore Johnson, S. Muthukrishnan, Vladislav Shka...
Recently, the Network-Attached Secure Disk (NASD) model has become a more widely used technique for constructing large-scale storage systems. However, the security system proposed...
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
: Scalable Distributed Data Structures (SDDSs) store large scalable files over a distributed RAM of nodes in a grid or a P2P network. The files scale transparently for the applicat...
Commodity hardware and software are growing increasingly more complex, with advances such as chip heterogeneity and specialization, deeper memory hierarchies, ne-grained power ma...