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...
Data stream methods look at each new item of the stream, perform a small number of operations while keeping a small amount of memory, and still perform muchneeded analyses. Howeve...
The complexity of parallel I/O systems lies in the deep I/O stack with many software layers and concurrent I/O request handling at multiple layers. This paper explores multi-layer...
With the rapid development of broadband applications, the capability of networks to provide quality of service (QoS) has become an important issue. Fair scheduling algorithms are ...
Abstract— This paper presents a new approach to the intralocalization among a team of robots working in constrained 3D space of urban environments. As the base formation, a team ...