Existing work in the skyline literature focuses on optimizing the processing cost. This paper aims at minimization of the communication overhead in client-server architectures, wh...
Many scientific, financial, data mining and sensor network applications need to work with continuous, rather than discrete data e.g., temperature as a function of location, or sto...
This paper proposes an efficient analysis flow and an algorithm to identify the worst case noise for power networks with multiple clock domains. First, we apply the Laplace transf...
Wanping Zhang, Ling Zhang, Rui Shi, He Peng, Zhi Z...
A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to co...
Regression test suites tend to grow over time as new test cases are added to exercise new functionality or to target newly-discovered faults. When test suites become too large, th...