Record:   Prev Next
作者 Dou, Ji Adam
書名 Scheduling in Multiprocess Systems
國際標準書號 9781267132185
book jacket
說明 165 p
附註 Source: Dissertation Abstracts International, Volume: 73-05, Section: B, page: 3032
Adviser: Harsha V. Madhyastha
Thesis (Ph.D.)--University of California, Riverside, 2011
Applications and the systems that support them are becoming increasingly more complex, more powerful and more ubiquitous. Applications ranging from traffic sensing to online retailers to social networks are part of our every day lives. People have begun to rely on these systems and expect them to perform their operations in a timely fashion. Providing a quick response is critical in some applications and has a significant effect in others. The complexity of modern applications is not the only challenge of meeting user expectations, providing a personalized experience requires the processing of huge amounts of raw data. Although generalized schedulers have shown good results for speeding up many systems, they are not well suited and cannot provide the most efficient solution in many situations
In this dissertation, I design, build and evaluate several different specialized scheduling system for speeding up and providing quality of service across a range of different systems. I present RG-EDF, Misco and MiscoRT and Cacheflow. Starting with low level systems, RG-EDF is an efficient storage scheduler for sensor devices equipped with flash memories. Misco is a distributed data processing system and application framework for mobile smart-phones, MiscoRT is its failure aware, real-time, application scheduler. Finally, Cacheflow is a system for improving client response times in internet scale content delivery networks aimed at social networking sites. Through experimental evaluations, I show that my systems provide a significant performance improvement over generalized scheduling mechanisms and existing approaches
School code: 0032
Host Item Dissertation Abstracts International 73-05B
主題 Computer Science
0984
Alt Author University of California, Riverside. Computer Science
Record:   Prev Next