SCHEDULE: NOV 12-18, 2011

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.

You can also create your personal schedule on the SC11 app (Boopsie) on your smartphone. Simply select a session you want to attend and "add" it to your plan. Continue in this manner until you have created your own personal schedule. All your events will appear under "My Event Planner" on your smartphone.

QoS Support for End Users of I/O-intensive Applications using Shared Storage Systems

SESSION: Coordinating I/O

EVENT TYPE: Paper

TIME: 2:00PM - 2:30PM

AUTHOR(S):Xuechen Zhang, Kei Davis, Song Jiang

ROOM:TCC 305

ABSTRACT:
While the performance of compute-bound HPC applications can be effectively guaranteed, it remains a challenge to meet QoS requirements for end users of I/O-intensive applications using shared storage systems because it is difficult to differentiate I/O services for applications with individual quality requirements. Furthermore, it is difficult for end users to accurately specify performance goals to the storage using I/O-related metrics such as request latency or throughput. As access patterns, request rates, and the system workload change, a fixed I/O-performance goal, such as bounds on throughput or latency, can be expensive to achieve and may not provide performance guarantees such as bounded program execution time. In this paper we propose a scheme supporting end-users' QoS goals, specified in terms of program execution time, in shared storage environments. With an implementation in PVFS2 we show that this scheme can satisfy realistic end-user QoS requirements by making highly efficient use of I/O resources.

Chair/Author Details:

Xuechen Zhang - Wayne State University

Kei Davis - Los Alamos National Laboratory

Song Jiang - Wayne State University

  Click here to download .ics calendar file

  Click here to download .vcs calendar file

  Click here to add event to your Google Calendar

The full paper can be found in the ACM Digital Library