Time-Aware Detection Systems

Context-Aware Time Series Anomaly Detection for Complex Systems

Systems with several components interacting to accomplish challenging tasks are ubiquitous; examples include large server clusters providing “cloud computing”, manufacturing plants, automobiles, etc. Our relentless efforts to improve the capabilities of these systems inevitably increase their complexity as we add more components or introduce more dependencies between existing ones. To tackle th...

Aware Real - Time Systems

Managing power consumption while simultaneously delivering acceptable levels of performance is becoming a critical issue in several application domains such as wireless computing. We integrate compiler-assisted techniques with poweraware operating system services and present scheduling techniques to reduce energy consumption of applications that have deadlines. We show by simulation that our dy...

Similarity enhacement in Time-Aware Recommender Systems

Time-aware recommender systems (TARS) are systems that take into account a time factor the age of the user data. There are three approaches for using a time factor: (1) the user data may be given different weights by their age, (2) it may be treated as a step in a biological process and (3) it may be compared in different time frames to find a significant pattern. This research deals with the l...

Security-aware Scheduling for Real-time Systems

Over the last decade, clusters have become the fastest growing platforms in highperformance computing. More recently, Grids were emerging as next generation computing platforms for large-scale computation and data intensive problems in industry, academic, and government organizations. Meanwhile, an increasing number of real-time applications running on clusters and Grids have mandatory security...

Virtual time-aware virtual machine systems