Datacenters as Computers: Google Engineering & Database Research Perspectives

Summary: Google’s advertising infrastructure unifies transactional and analytical workloads across datacenters at exabyte scale. The keynote examines whether datacenters demand fundamentally new data-system principles for fault tolerance, availability, throughput, and low latency. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 11052
Venue: VLDB
Year: 2014
Pagerank: 5.093636e-05
Overall Rank: 12,201 | 16.30%
DOI: 10.14778/2733004.2733073

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Shivakumar Venkataraman (Google)
2. Divyakant Agrawal (Google; Qatar Computing Research Institute; University of California Santa Barbara)

BibTeX Citation

@article{venkataraman_vldb14,
        title = {{Datacenters as Computers: Google Engineering \& Database Research Perspectives}},
        author = {Venkataraman, Shivakumar and Agrawal, Divyakant},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {13},
        pages = {1720--1721},
        doi = {10.14778/2733004.2733073},
        url = {https://doi.org/10.14778/2733004.2733073},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
607	F1: A Distributed SQL Database That Scales	2013	VLDB	0.00015800238
1,171	Photon: Fault-tolerant and Scalable Joining of Continuous Data Streams	2013	SIGMOD	0.00011826434
1,593	F1 – The Fault-Tolerant Distributed RDBMS Supporting Google's Ad Business	2012	SIGMOD	0.00010252961
1,606	Mesa: Geo-Replicated, Near Real-Time, Scalable Data Warehousing	2014	VLDB	0.00010228576

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