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Datacenters as Computers: Google Engineering & Database Research Perspectives
BibTeX
@MISC{Venkataraman_datacentersas,
author = {Shivakumar Venkataraman and Google Inc and Divyakant Agrawal},
title = {Datacenters as Computers: Google Engineering & Database Research Perspectives},
year = {}
}
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Abstract
In this collaborative keynote address, we will share Google’s experience in building a scalable data infrastructure that leverages datacenters for managing Google’s advertising data over the last decade. In order to support the massive online advertising platform at Google, the data infrastructure must simultaneously support both transactional and analytical workloads. The focus of this talk will be to highlight how the datacenter architecture and the cloud computing paradigm has enabled us to manage the exponential growth in data volumes and user queries, make our services highly avail-able and fault tolerant to massive datacenter outages, and deliver results with very low latencies. We note that other Internet companies have also undergone similar growth in data volumes and user queries. In fact, this phenomenon has resulted in at least two new terms in the technology lexicon: big data and cloud computing. Cloud computing (and datacenters) have been largely responsible for scaling the data volumes from terabytes range just a few years ago to now reaching in the exabyte range over the next couple of years. Delivering solutions at this scale that are fault-tolerant, latency sensitive, and highly available requires a combination of research advances with engineering ingenu-ity at Google and elsewhere. Next, we will try to answer the following question: is a datacenter just another (very large) computer? Or, does it fundamentally change the design principles for data-centric applications and systems. We will conclude with some of the unique research challenges that need to be addressed in order to sustain continuous growth in data volumes while supporting high throughput and low latencies.
Keyphrases
data volume google engineering database research perspective low latency user query cloud computing next couple collaborative keynote address engineering ingenu-ity unique research design principle last decade big data internet company undergone similar growth technology lexicon google advertising data research advance datacenter architecture following question scalable data infrastructure datacenter outage data infrastructure new term data-centric application massive online advertising platform fault tolerant high throughput exabyte range continuous growth exponential growth analytical workload share google experience
