Model-driven performance prediction methods require detailed design models to evaluate the performance of software systems during early development stages. However, the complexity...
Today's networks discriminate towards or against traffic for a wide range of reasons, and in response end users and their applications increasingly attempt to evade monitorin...
Chitra Muthukrishnan, Vern Paxson, Mark Allman, Ad...
For real-time applications, it is necessary to estimate the worst-case performance early in the design process without actual hardware implementation. While the non-preemptive task...
—For a long time, signal processing applications, and most particularly detection and parameter estimation methods, have relied on the limiting behaviour of test statistics and e...
Datacenter workload modeling has become a necessity in recent years due to the emergence of large-scale applications and cloud data-stores, whose implementation remains largely un...