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Benchmarking Cloud Serving Systems with YCSB

Benchmarking Cloud Serving Systems with YCSB Brian F. Cooper, Adam Silberstein, Erwin Tam, Raghu Ramakrishnan , Russell Sears Yahoo! Research Presenter Duncan. Benchmarking Cloud Serving Systems with YCSB. Benchmarking vs Testing Any difference? My opinion Benchmarking: Performance

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Benchmarking Cloud Serving Systems with YCSB

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  1. Benchmarking Cloud Serving Systems with YCSBBrian F. Cooper, Adam Silberstein, Erwin Tam, RaghuRamakrishnan, Russell SearsYahoo! ResearchPresenter Duncan

  2. Benchmarking Cloud Serving Systems with YCSB • Benchmarking vs Testing • Any difference? • My opinion • Benchmarking: Performance • Testing: usability test, security test, performance etc…

  3. Motivation • A lot of new systems in Cloud for data storage and management • MongoDB, MySQL, Asterix, etc.. • Tradeoff • E.g. Append update to a sequential disk-log • Good for write, bad for read • Synchronous replication • copies up to date, but high write latency • How to choose? • Use benchmark to model your scenario!

  4. Evaluate Performance =? • Latency • Users don’t want to wait! • Throughput • Want to serve more requests! • Inherent tradeoff between latency and throughput • More requests => more resource contention=> higher latency

  5. Which system is better? • “Typically application designers must decide on an acceptable latency, and provision enough servers to achieve the desired throughput” • achieve the desired latency and throughput with fewer servers. • Desired latency:0.1 sec, 100 request/sec • MongoDB, 10 server • Asterix DB, 15 server

  6. What else to evaluate? • Cloud platform • Scalability • Good scalability=>performance proportional to # of servers • Elasticity • Good elasticity=>performance improvement with small disruption

  7. A Short Summary • Evaluate performance = evaluate latency, throughput, scalability, elasticity • A better system= less machine to achieve the performance goal

  8. YCSB • Data generator • Workload generator • YCSB client • Interface to communicate with DB

  9. YCSB Data Generator • A table with F fields and N records • Each field => a random string • E.g. 1,000 byte records, F=10, 100 bytes per field

  10. Workload Generator • Basic operations • Insert, update, read, scan • No join, aggregate etc. • Able to control the distributions of: • Which operation to perform • E.g. 0.95 read, 0.05 update, 0 scan => read-heavy workload • Which record to read or write • Uniform • Zipfian: some records are extremely popular • Latest: recent records are more popular

  11. YCSB Client • A script • Use the script to run the benchmark • Workload parameter files • You can change the parameter • Java program • DB interface layer • You can implement the interface for your DB system

  12. Experiments • Experiment Setup: • 6 servers • YCSB client on another server • Cassandra, HBase, MySQL, PNUTS • Update heavy, read heavy, read only, read latest, short range scan workload.

  13. Future Work • Availability • Impact of failure on the system performance • Replication • Impact to performance when increase replication

  14. 4 criteria • Author’s 4 criteria for a good benchmark: • Relevance to application • Portability • Not just for 1 system! • Scalability • Not just for small system, small data! • simplicity

  15. Reference • Benchmarking Cloud Serving Systems with YCSB, Brian F. Cooper, Adam Silberstein, Erwin Tam, RaghuRamakrishnan, Russell Sears, SOCC 10 • BG: A Benchmark to Evaluate Interactive Social Networking Actions, SumitaBarahmand, ShahramGhandeharizadeh, CIDR 13 • http://en.wikipedia.org/wiki/Software_testing • http://en.wikipedia.org/wiki/Benchmark_(computing)

  16. Thank You! • Questions?

  17. Why a new benchmark? • Most cloud systems do not have a SQL interface => hard to implement complex queries • Benchmark only for specific applications • TPC-W for E-commerce • TPC-C for apps that mange, sell, distribute product/service

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