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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
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DTSTART:20121114T223000Z
DTEND:20121115T000000Z
LOCATION:155-F
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: With the explosion in both real time streams and volume of accumulated data, we see proliferation of applications that need to perform long running, continuous data processing, some with mission critical requirements. These applications exhibit dynamism in changing data rates and even their composition in response to domain triggers. Clouds offer a viable platform for running these applications but are inhibited by the inherent limitations of Clouds, especially, non-uniform performance and fallible commodity hardware. This ``infrastructure dynamism coupled with ``application dynamism present a number of challenges for deploying resilient mission critical applications.=0AWe propose a class of applications, termed Dynamic Mission-Critical Dataflow (DMD) applications and propose to make three major contributions: programming abstractions and declarative goals to describe and model DMD applications, time-variant performance models to predict the variability and failure of Cloud resources, and a dataflow execution platform that optimally orchestrates DMD applications on Clouds to meet their goals.
SUMMARY:Adaptive, Resilient Cloud Platform for Dynamic, Mission-Critical Dataflow Applications
PRIORITY:3
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