A fundamental problem in a large scale decentralized stream processing system is how to best utilize the available resources and admission control the bursty and high volume input...
Monitoring and correlation of streaming data from multiple sources is becoming increasingly important in many application areas. Example applications include automated commodities...
Efficiency of synchronization mechanisms can limit the parallel performance of many shared-memory applications. In addition, the ever increasing performance gap between processor...
Although data forwarding algorithms and protocols have been among the first set of issues explored in sensor networking, how to reliably deliver sensing data through a vast field...
Effective data placement strategies can enhance the performance of data-intensive applications implemented on high end computing clusters. Such strategies can have a significant i...