Memory trace analysis is an important technology for architecture research, system software (i.e., OS, compiler) optimization, and application performance improvements. Many appro...
Yungang Bao, Mingyu Chen, Yuan Ruan, Li Liu, Jianp...
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
File system traces have been used for years to analyze user behavior and system software behavior, leading to advances in file system and storage technologies. Existing traces, ho...
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
We consider streaming of pre-encoded and packetized media over best-effort networks in presence of acknowledgment feedback. Given an estimation of future transmission resources an...