- Home
- Register
- Attend
- Conference Program
- SC15 Schedule
- Technical Program
- Awards
- Students@SC
- Research with SCinet
- HPC Impact Showcase
- HPC Matters Plenary
- Keynote Address
- Support SC
- SC15 Archive
- Exhibits
- Media
- SCinet
- HPC Matters
SCHEDULE: NOV 15-20, 2015
When viewing the Technical Program schedule, on the far righthand side is a column labeled "PLANNER." Use this planner to build your own schedule. Once you select an event and want to add it to your personal schedule, just click on the calendar icon of your choice (outlook calendar, ical calendar or google calendar) and that event will be stored there. As you select events in this manner, you will have your own schedule to guide you through the week.
Utility-Based Data Transfers Scheduling Between Distributed Computing Facilities
SESSION: Regular & ACM Student Research Competition Poster Reception
EVENT TYPE: Posters, Receptions, ACM Student Research Competition
EVENT TAG(S): HPC Beginner Friendly, Regular Poster
TIME: 5:15PM - 7:00PM
SESSION CHAIR(S): Michela Becchi, Manish Parashar, Dorian C. Arnold
AUTHOR(S):Xin Wang, Wei Tang, Rajkumar Kettimuttu, Zhiling Lan
ROOM:Level 4 - Lobby
ABSTRACT:
Today’s scientific applications increasingly involve large amounts of input/output data that must be moved among multiple computing facilities via wide-area networks (WANs). The bandwidth of WANs, however, is growing at a much smaller rate and thus becoming a bottleneck. Moreover, the network bandwidth has not been viewed as a limited resource, and thus coordinated allocation is lacking. Uncoordinated scheduling of competing data transfers over shared network links results in suboptimal system performance and poor user experiences. To address these problems, we propose a data transfer scheduler to coordinate data transfers between distributed computing facilities over WANs. The scheduler allocates resources to data transfer requests based on user-centric utility functions in order to achieve maximum overall user satisfaction. We conducted trace-based simulation and demonstrated that our data transfer scheduling algorithms can considerably improve data transfer performance as well as quantified user satisfaction compared with traditional first-come, first-serve or short-job-first approaches.
Chair/Author Details:
Michela Becchi, Manish Parashar, Dorian C. Arnold (Chair) - University of Missouri|Rutgers University|University of New Mexico|
Xin Wang - Illinois Institute of Technology
Wei Tang - Argonne National Laboratory
Rajkumar Kettimuttu - Argonne National Laboratory
Zhiling Lan - Illinois Institute of Technology
Click here to download .ics calendar file
