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.
TRACON: Interference-Aware Scheduling for Data-Intensive Applications in Virtualized Environments
SESSION: Scheduling and Resource Allocation
EVENT TYPE: Paper, Best Student Paper (BSP) Finalist
TIME: 1:30PM - 2:00PM
AUTHOR(S):Ron C. Chiang, H. Howie Huang
ABSTRACT: Large-scale data centers leverage virtualization technology to achieve excellent resource utilization and scalability, as well as high availability and reliability. Ideally, the performance of an application running inside a virtual machine (VM) shall be independent of co-located applications and VMs that share the physical machine. However, adverse interference effects exist and are especially severe for data-intensive applications in such virtualized environments. In this work, we present TRACON, a novel Task and Resource Allocation CONtrol framework that mitigates the interference effects from concurrent data-intensive applications and greatly improves the overall system performance. We simulate TRACON with a wide variety of data-intensive applications including bioinformatics, data mining, video processing, email and web servers, etc. The evaluation results show that TRACON can achieve up to 50% improvement on application runtime, up to 80% on I/O throughput, and more than 30% of energy savings for virtualized data centers.