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Dynamic Data & Programming Paradigms

Dynamic Data & Programming Paradigms. mark birkin , joel saltz , paul jefferys , geoffrey fox, jeremy cohen , omer rana , dan katz , neil chue-hong , ally hume , shantenu jha. Why is everyone so “happy”? [ Except Us].

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Dynamic Data & Programming Paradigms

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  1. Dynamic Data & Programming Paradigms mark birkin, joelsaltz, pauljefferys, geoffreyfox, jeremycohen, omerrana, dankatz, neilchue-hong, ally hume, shantenujha

  2. Why is everyone so “happy”? [Except Us] • Try to analyse why there have been limited complaints about the CI and PP available? • E.g only Szalay talked about Graywulf. Why? Gene Sequencers… • When people talk about the data deluge -- do your current approaches scale to the expected increase in data? • There has been no discussion of scalable approaches so far -- is it because this is not an issue for many people. • Why have people not talked about MapReduce?

  3. In a nutshell: What is needed? • Neil: Is there a classification of data-intensive applications thatwould help me to understand (simply) if mapreduce were/were-notuseful. Involves: • (i) Classification of application charecteristics • (ii) Identification of “fundamental vectors” • (iii) Understanding the Programming Paradigms based upon (i) and (ii)

  4. Dynamic (DI) Applications • What are the different classes of Dynamic DI Applications? • Real-time (sensor) data assimilation • Dynamic resource utilization • Application-level changes • Feedback eg. Sensor selection • Similar questions for to slide (ii) now with dynamic data-intensive

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