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526 high scalability-2009-03-05-Strategy: In Cloud Computing Systematically Drive Load to the CPU


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Introduction: Update 2: Linear Bloom Filters by Edward Kmett. A Bloom filter is a novel data structure for approximating membership in a set. A Bloom join conserves network bandwith by exchanging cheaper, more plentiful local CPU utilization and disk IO. Update: What are Amazon EC2 Compute Units? . Cloud providers charge for CPU time in voodoo units like "compute units" and "core hours." Geva Perry takes on the quest of figuring out what these mean in real life. I attended Sebastian Stadil's AWS Training Camp Saturday and during the class Sebastian brought up a wonderfully counter-intuitive idea: CPU (EC2) costs a lot less than storage (S3, SDB) so you should systematically move as much work as you can to the CPU . This is said to be the Client-Cloud Paradigm . It leverages the well pummeled trend that CPU power follows Moore's Law while storage follows The Great Plains' Law (flat). And what sane computing professional would do battle with Sir Moore and his tru


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2 A Bloom join conserves network bandwith by exchanging cheaper, more plentiful local CPU utilization and disk IO. [sent-3, score-0.401]

3 Cloud providers charge for CPU time in voodoo units like "compute units" and "core hours. [sent-6, score-0.165]

4 I attended Sebastian Stadil's AWS Training Camp Saturday and during the class Sebastian brought up a wonderfully counter-intuitive idea: CPU (EC2) costs a lot less than storage (S3, SDB) so you should systematically move as much work as you can to the CPU . [sent-8, score-0.271]

5 It leverages the well pummeled trend that CPU power follows Moore's Law while storage follows The Great Plains' Law (flat). [sent-10, score-0.112]

6 And what sane computing professional would do battle with Sir Moore and his trusty battle sword of a law? [sent-11, score-0.319]

7 CPU rich and memory poor means operate on compressed serialized data structures. [sent-13, score-0.113]

8 Just transport compressed binary objects around and use them in place. [sent-18, score-0.182]

9 Serialization and deserialization happen only on access ( Pimpl Idiom ). [sent-19, score-0.091]

10 Saves on bandwidth and storage (the expensive bits) and uses cheaper CPU to compress/decompress. [sent-27, score-0.288]

11 SDB can take up to 400 msecs between data centers and 200 msecs inside the same data center. [sent-30, score-0.276]

12 Following the more traditional serial processing path of "get a record do a record" will take forever and cost more. [sent-33, score-0.275]

13 Do multiple operations at once on your cheap CPUs rather than serially performing high latency operations on expensive storage. [sent-36, score-0.363]

14 Pull all data from the relatively expensive SDB and perform client side joins on relatively cheap EC2 nodes. [sent-39, score-0.416]

15 I found some interesting numbers in a Slashdot thread comparing values: No persistent storage; not great value : And it's still not a great value. [sent-44, score-0.273]

16 Well, look at Slicehost and you can get a 2GB RAM Xen instance (same virtualization software as EC2) for $140 WITH persistent storage and 800GB of bandwidth. [sent-48, score-0.245]

17 That doesn't sound like a great deal UNTIL you calculate what EC2 bandwidth costs. [sent-49, score-0.171]

18 18 per GB bringing the total cost to $216 ($76 more than Slicehost). [sent-51, score-0.195]

19 That 18 cents doesn't sound like much, but it adds up. [sent-52, score-0.101]

20 Even if you assume that you'll only use 10% of what Joyent is giving you, EC2 still comes in at a cost of $252 - and without persistent storage! [sent-56, score-0.259]


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