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DocLite : a Docker-based Lightweight Cloud benchmarking tool
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dc.contributor.author | Varghese, Blesson | |
dc.contributor.author | Subba, Lawan Thamsuhang | |
dc.contributor.author | Thai, Long Thanh | |
dc.contributor.author | Barker, Adam David | |
dc.date.accessioned | 2016-05-15T23:32:40Z | |
dc.date.available | 2016-05-15T23:32:40Z | |
dc.date.issued | 2016-07-21 | |
dc.identifier | 241609062 | |
dc.identifier | ca42e6a6-ede3-468e-9b10-2c80a957002e | |
dc.identifier | 84983391446 | |
dc.identifier | 000382529800028 | |
dc.identifier.citation | Varghese , B , Subba , L T , Thai , L T & Barker , A D 2016 , DocLite : a Docker-based Lightweight Cloud benchmarking tool . in 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) . , 7515691 , IEEE Computer Society , pp. 213-222 , 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid 2016) , Cartegena , Colombia , 16/05/16 . https://doi.org/10.1109/CCGrid.2016.14 | en |
dc.identifier.citation | conference | en |
dc.identifier.isbn | 9781509024544 | |
dc.identifier.isbn | 9781509024537 | |
dc.identifier.uri | https://hdl.handle.net/10023/8803 | |
dc.description | This research was pursued under the EPSRC grant, EP/K015745/1, a Royal Society Industry Fellowship, an Erasmus Mundus Master’s scholarship and an AWS Education Research grant. | en |
dc.description.abstract | Existing benchmarking methods are time consuming processes as they typically benchmark the entire Virtual Machine (VM) in order to generate accurate performance data, making them less suitable for real-time analytics. The research in this paper is aimed to surmount the above challenge by presenting DocLite - Docker Container-based Lightweight benchmarking tool. DocLite explores lightweight cloud benchmarking methods for rapidly executing benchmarks in near real-time. DocLite is built on the Docker container technology, which allows a user-defined memory size and number of CPU cores of the VM to be benchmarked. The tool incorporates two benchmarking methods - the first referred to as the native method employs containers to benchmark a small portion of the VM and generate performance ranks, and the second uses historic benchmark data along with the native method as a hybrid to generate VM ranks.The proposed methods are evaluated on three use-cases and are observed to be up to 91 times faster than benchmarking the entire VM. In both methods, small containers provide the same quality of rankings as a large container. The native method generates ranks with over 90% and 86% accuracy for sequential and parallel execution of an application compared against benchmarking the whole VM. The hybrid method did not improve the quality of the rankings significantly. | |
dc.format.extent | 10 | |
dc.format.extent | 4238315 | |
dc.language.iso | eng | |
dc.publisher | IEEE Computer Society | |
dc.relation.ispartof | 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) | en |
dc.subject | Lightweight benchmark | en |
dc.subject | Docker | en |
dc.subject | Cloud benchmarking | en |
dc.subject | Containers | en |
dc.subject | Hybrid benchmark | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject | NDAS | en |
dc.subject | BDC | en |
dc.subject.lcc | QA75 | en |
dc.title | DocLite : a Docker-based Lightweight Cloud benchmarking tool | en |
dc.type | Conference item | en |
dc.contributor.sponsor | EPSRC | en |
dc.contributor.institution | University of St Andrews. School of Computer Science | en |
dc.identifier.doi | 10.1109/CCGrid.2016.14 | |
dc.date.embargoedUntil | 2016-05-16 | |
dc.identifier.grantnumber | EP/K015745/1 | en |
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