sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 15-20, 2015

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

SESSION: Data Transfers and Data Intensive Applications


EVENT TAG(S): Clouds and Distributed Computing

TIME: 2:00PM - 2:30PM


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



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

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Paper provided by the ACM Digital Library

Paper also available from IEEE Computer Society