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Documents
Description
Virident Systems
GreenCloud for MySQL
Performance Brief
Social Web Database Benchmark
A database benchmark designed for Social
Networking Website workloads Social Web Database
Benchmark
A database benchmark designed for a social networking website workload
Introduction
Social networking websites allow people to connect with others who share common interests, and
provide a forum for interaction between them. They also allow people in these groups to keep
track of what is happening in each others' lives.
The last few years have seen explosive growth not only in social network websites, but in
applications which utilize data from these networks. Data stores and content on major social web
applications are estimated to quadruple every 18 months, along with a doubling of queries per
terabyte of data. This results in incredible pressure on web applications' database tiers, a pressure
which will only increase in the years to come.
Database tiers at social networking sites see access patterns which are very different from typical
OLTP and e-commerce applications. Whereas OLTP and e-commerce share a balanced read/write
profile, social networking databases have very high read-to-write ratios. They also need to support
hundreds of simultaneous user connections and majority of queries are point queries that return a
few rows of a few hundred bytes, as compared to reporting queries which may scan entire
databases and return hundreds of rows. Some ...
GreenCloud for MySQL
Performance Brief
Social Web Database Benchmark
A database benchmark designed for Social
Networking Website workloads Social Web Database
Benchmark
A database benchmark designed for a social networking website workload
Introduction
Social networking websites allow people to connect with others who share common interests, and
provide a forum for interaction between them. They also allow people in these groups to keep
track of what is happening in each others' lives.
The last few years have seen explosive growth not only in social network websites, but in
applications which utilize data from these networks. Data stores and content on major social web
applications are estimated to quadruple every 18 months, along with a doubling of queries per
terabyte of data. This results in incredible pressure on web applications' database tiers, a pressure
which will only increase in the years to come.
Database tiers at social networking sites see access patterns which are very different from typical
OLTP and e-commerce applications. Whereas OLTP and e-commerce share a balanced read/write
profile, social networking databases have very high read-to-write ratios. They also need to support
hundreds of simultaneous user connections and majority of queries are point queries that return a
few rows of a few hundred bytes, as compared to reporting queries which may scan entire
databases and return hundreds of rows. Some ...
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Langue
English