SCHEDULE: NOV 16-22, 2013

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Exploiting Application Dynamism and Cloud Elasticity for Continuous Dataflows

SESSION: Cloud Resource Management and Scheduling

EVENT TYPE: Papers

TIME: 2:30PM - 3:00PM

SESSION CHAIR: Kate Keahey

AUTHOR(S):Alok Gautam Kumbhare, Yogesh Simmhan, Viktor K. Prasanna

ROOM:205/207

ABSTRACT:
Contemporary continuous dataflow systems use elastic scaling on clouds to handle variable data rates to meet applications' needs while attempting to maximize resource utilization. However, virtualized clouds present an added challenge due to the variability in resource performance thereby impacting the QoS. Elastic use of cloud resources and their allocation to dataflows thus need to adapt to such infrastructure dynamism. We develop the concept of ``dynamic dataflows'' that utilizes alternate tasks and allows additional control over the dataflow's cost and QoS. We formalize an optimization problem to allow trade-off between application's value against resource cost. We present two novel heuristics based on variable sized bin-packing heuristics and evaluate them through simulations with different data profiles using VM performance traces from a private cloud. The results show that the heuristics are effective in intelligently utilizing cloud elasticity to mitigate the effect of both input data rate and performance variabilities on QoS.

Chair/Author Details:

Kate Keahey (Chair) - Argonne National Laboratory

Alok Gautam Kumbhare - University of Southern California

Yogesh Simmhan - University of Southern California

Viktor K. Prasanna - University of Southern California

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The full paper can be found in the ACM Digital Library