Big Data Analytics with All-or-Nothing Parallel Jobs

Add to your list(s) Download to your calendar using vCal

• Ganesh Ananthanarayanan, University of California
• Thursday 11 April 2013, 11:00-12:00
• Small Lecture Theatre, Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

If you have a question about this talk, please contact Microsoft Research Cambridge Talks Admins.

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Extensive data analysis has become the enabler for diagnostics and decision making in many modern systems. These analyses have both competitive as well as social benefits. To cope with the deluge in data that is growing faster than Moore’s law, computation frameworks have resorted to massive parallelization of analytics jobs into many fine-grained tasks. These frameworks promised to provide efficient and fault-tolerant execution of these tasks. However, meeting this promise in clusters spanning hundreds of thousands of machines is challenging and a key departure from earlier work on parallel computing. A simple but key aspect of parallel jobs is the all-or-nothing property: unless all tasks of a job are provided equal improvement, there is no speedup in the completion of the job. This talk will demonstrate how the all-or-nothing property impacts replacement algorithms in distributed caches for parallel jobs. Our coordinated caching system, PAC Man, makes global caching decisions and employs a provably optimal cache replacement algorithm. A highlight of our evaluation using workloads from Facebook and Bing datacenters is that PAC Man’s replacement algorithm outperforms even Belady’s MIN (that uses an oracle) in speeding up jobs. Along the way, I will also describe how we broke the myth of disk-locality’s importance in datacenter computing and solutions to mitigate straggler tasks.

This talk is part of the Microsoft Research Cambridge, public talks series.

This talk is included in these lists:

• All Talks (aka the CURE list)
• Cambridge Centre for Data-Driven Discovery (C2D3)
• Cambridge Infectious Diseases
• Cambridge talks
• Chris Davis' list
• Guy Emerson's list
• Interested Talks
• Microsoft Research Cambridge, public talks
• Optics for the Cloud
• PMRFPS's
• School of Technology
• Small Lecture Theatre, Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB
• Trust & Technology Initiative - interesting events
• bld31
• ndk22's list
• personal list
• rp587

Note that ex-directory lists are not shown.