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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121114T181500Z
DTEND:20121114T190000Z
LOCATION:Ballroom-EFGH
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Internet services directly impact billions of users and have a much larger market size than traditional high-performance computing. However, these two fields share common technical challenges. Exploiting locality and providing efficient communication are common research issues. Internet services increasingly feature big data computing, involving petabytes of data and billions of records. This talk focuses on three problems that recur frequently in Internet services systems: the data placement, data indexing, and data communication problems, which are essential in enhancing performance and reducing energy consumption. After presenting a formulation of the relationship between performance and power consumption, I will provide examples of high-performance techniques developed to address these problems, including a data placement method that significantly reduces storage space needs, a data indexing method that enhances throughput by orders of magnitude, and a key-value data communication model with its high-performance library. Applications examples include Facebook in the USA and Taobao in China.
SUMMARY:High-Performance Techniques for Big Data Computing in Internet Services
PRIORITY:3
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