sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
FacebookTwitterGoogle PlusLinkedInYouTubeFlickr

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.

IOrchestra: Supporting High-Performance Data-Intensive Applications in the Cloud via Collaborative Virtualization

SESSION: Data Transfers and Data Intensive Applications

EVENT TYPE: Papers

EVENT TAG(S): Clouds and Distributed Computing

TIME: 2:00PM - 2:30PM

SESSION CHAIR(S): Rosa M. Badia

AUTHOR(S):Ron C. Chiang, H. Howie Huang, Timothy Wood, Changbin Liu, Oliver Spatscheck

ROOM:19AB

ABSTRACT:

Multi-tier data-intensive applications are widely deployed in virtualized data centers for high scalability and reliability. As the response time is vital for user satisfaction, this requires achieving good performance at each tier of the applications in order to minimize the overall latency. However, in such virtualized environments, each tier (e.g., application, database, web) is likely to be hosted by different virtual machines (VMs) on multiple physical servers, where a guest VM is unaware of changes outside its domain, and the hypervisor also does not know the configuration and runtime status of a guest VM. As a result, isolated virtualization domains lend themselves to performance unpredictability and variance. In this paper, we propose IOrchestra, a holistic collaborative virtualization framework, which bridges the semantic gaps of I/O stacks and system information across multiple VMs, improves virtual I/O performance through collaboration from guest domains, and increases resource utilization in data centers.

Chair/Author Details:

Rosa M. Badia (Chair) - Barcelona Supercomputing Center|

Ron C. Chiang - University of St. Thomas

H. Howie Huang - George Washington University

Timothy Wood - George Washington University

Changbin Liu - AT&T

Oliver Spatscheck - AT&T

Add to iCal  Click here to download .ics calendar file

Add to Outlook  Click here to download .vcs calendar file

Add to Google Calendarss  Click here to add event to your Google Calendar


Paper provided by the ACM Digital Library

Paper also available from IEEE Computer Society