LinkBench: a database benchmark based on the Facebook social graph

By Timothy G. Armstrong, Vamsi Ponnekanti, Dhruba Borthakur, Mark D. Callaghan. ACM SIGMOD Conference, 2013

355 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/a9b56e0521699cd45763d51b8e6cedd5df380888

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Information Systems

Citations in the corpus

BigDataBench: A big data benchmark suite from internet services (2014, background): “[12] characterized the social graph data and database workloads for Facebook’s social network, and presented the motivation, design, and implementation of LinkBench, a database benchmark that reflects real-world database workloads for social network applications.”
Characterizing, Modeling, and Benchmarking RocksDB Key-Value Workloads at Facebook (2020, positive): “Much of the social graph data is presented as objects and associations, and is maintained in different MySQL tables following the model introduced in [4].”
BigBench V2: The New and Improved BigBench (2017, methodology): “Comparing and contrasting these benchmarks to BigBench, we identify the uniqueness and superiority of BigBench [5] as follows: • BigBench is technology agnostic, whereas many of the existing benchmarks are technology or component bound (HiBench [16], SparkBench [17], MRBS [19], CloudSuite [20], Link”
OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases (2013, methodology): “2 LinkBench This synthetic benchmark was developed by Facebook to evaluate systems running a workload similar to their MySQL production deployment [8].”
WiscKey (2016, background): “…data deduplication [Anand et al. 2010; Debnath et al. 2010], photo stores [Beaver et al. 2010], cloud data [Lai et al. 2015], social networking [Armstrong et al. 2013; Dong 2015; Sumbaly et al. 2012], online gaming [Debnath et al. 2011], messaging [George 2011; Harter et al. 2014], and online…”
The LDBC Social Network Benchmark: Interactive Workload (2015, background): “SNB-Interactive workload, on the other hand, follows a query language-independent, choke point-based approach to provide challenges for modern DBMS. Related to social network benchmarking, Facebook recently presented Linkbench [1], a benchmark targetting the OLTP workload on the Facebook graph.”