YCSB++: Benchmarking and Performance Debugging Advanced Features in Scalable Table Stores
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| Title: | YCSB++: Benchmarking and Performance Debugging Advanced Features in Scalable Table Stores |
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| Authors: | Swapnil Patil, Milo Polte, Kai Ren, Wittawat Tantisiriroj, Lin Xiao, Julio López, Garth Gibson |
| Contributors: | The Pennsylvania State University CiteSeerX Archives |
| Source: | http://www.pdl.cmu.edu/PDL-FTP/Storage/CMU-PDL-11-111.pdf. |
| Publication Year: | 2011 |
| Collection: | CiteSeerX |
| Subject Terms: | feedback, and support. Keywords, Scalable cloud databases, benchmarking, performance debugging, HBase, IcyTable, YCSB |
| Description: | Inspired by Google’s BigTable, a variety of scalable, semi-structured, weak-semantic table stores have been developed and optimized for different priorities such as query speed, ingest speed, availability, and interactivity. As these systems mature, performance benchmarking will advance from measuring the rate of simple workloads to understanding and debugging the performance of advanced features such as ingest speed-up techniques and function shipping filters from client to servers. This paper describes a set of extensions, called YCSB++, to the Yahoo! Cloud Serving Benchmark (YCSB) to improve performance understanding and debugging of these advanced features. YCSB++ includes multi-tester coordination for increased load and eventual consistency measurement, multi-phase workloads to quantify the consequences of work deferring and the benefits APIs for explicit incorporation of advanced features in benchmark tests. To enhance performance debugging, we customized an existing cluster monitoring tool to gather the internal statistics of YCSB++, table stores, system services like HDFS and operating systems, and to offer easy |
| Document Type: | text |
| File Description: | application/pdf |
| Language: | English |
| Relation: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.220.4065 |
| Availability: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.220.4065 http://www.pdl.cmu.edu/PDL-FTP/Storage/CMU-PDL-11-111.pdf |
| Rights: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| Accession Number: | edsbas.D3AC3AEC |
| Database: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | Inspired by Google’s BigTable, a variety of scalable, semi-structured, weak-semantic table stores have been developed and optimized for different priorities such as query speed, ingest speed, availability, and interactivity. As these systems mature, performance benchmarking will advance from measuring the rate of simple workloads to understanding and debugging the performance of advanced features such as ingest speed-up techniques and function shipping filters from client to servers. This paper describes a set of extensions, called YCSB++, to the Yahoo! Cloud Serving Benchmark (YCSB) to improve performance understanding and debugging of these advanced features. YCSB++ includes multi-tester coordination for increased load and eventual consistency measurement, multi-phase workloads to quantify the consequences of work deferring and the benefits APIs for explicit incorporation of advanced features in benchmark tests. To enhance performance debugging, we customized an existing cluster monitoring tool to gather the internal statistics of YCSB++, table stores, system services like HDFS and operating systems, and to offer easy |
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