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A multi-objective framework for effective performance fault injection in distributed systems
Modern distributed systems should be built to anticipate performance degradation. Often requests in these systems involve ten to thousands Remote Procedure Calls, each of which can be a source of performance degradation. The PhD programme presented here intends to address this issue by providing aut...
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creator | Traini, Luca |
description | Modern distributed systems should be built to anticipate performance degradation. Often requests in these systems involve ten to thousands Remote Procedure Calls, each of which can be a source of performance degradation. The PhD programme presented here intends to address this issue by providing automated instruments to effectively drive performance fault injection in distributed systems. The envisioned approach exploits multi-objective search-based techniques to automatically find small combinations of tiny performance degradations induced by specific RPCs,which have significant impacts on the user-perceived performance. Automating the search of these events will improve the ability to inject performance issues in production in order to force developers to anticipate and mitigate them. |
doi_str_mv | 10.1145/3238147.3241535 |
format | conference_proceeding |
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Often requests in these systems involve ten to thousands Remote Procedure Calls, each of which can be a source of performance degradation. The PhD programme presented here intends to address this issue by providing automated instruments to effectively drive performance fault injection in distributed systems. The envisioned approach exploits multi-objective search-based techniques to automatically find small combinations of tiny performance degradations induced by specific RPCs,which have significant impacts on the user-perceived performance. 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Often requests in these systems involve ten to thousands Remote Procedure Calls, each of which can be a source of performance degradation. The PhD programme presented here intends to address this issue by providing automated instruments to effectively drive performance fault injection in distributed systems. The envisioned approach exploits multi-objective search-based techniques to automatically find small combinations of tiny performance degradations induced by specific RPCs,which have significant impacts on the user-perceived performance. Automating the search of these events will improve the ability to inject performance issues in production in order to force developers to anticipate and mitigate them.</description><subject>Distributed Systems</subject><subject>Fault Injection</subject><subject>Software and its engineering -- Software creation and management -- Search-based software engineering</subject><subject>Software and its engineering -- Software organization and properties -- Extra-functional properties -- Software performance</subject><subject>Software Performance</subject><issn>2643-1572</issn><isbn>145035937X</isbn><isbn>9781450359375</isbn><isbn>145035937X</isbn><isbn>9781450359375</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2018</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNqNkD1PwzAQhg0IiVI6M7B4ZEmwz3acjFXFl1SJpQMDkuU4Z8lt01R2Cuq_J9AMjEx3ep97bngJueUs51yqBwGi5FLnAiRXQp2R6yFlQlVCv5-TCRRSZFxpuPgLrsgspTVjDErNFKgJ-ZjT9rDtQ9bVa3R9-ETqo23xq4sb6rtI0fsx32Mcgtbu3HBjB4mG3a_T7YaNNiH1MdSHHhuajqnHNt2QS2-3CWfjnJLV0-Nq8ZIt355fF_NlZkGrPkNwUDNXWi6KphaAjbaSWyeshsahLCqovC4soKgK5RggWnTc1R5kyaSYkrvT24CIZh9Da-PRlFVVlVIMND9R61pTd90mGc7MT4dm7NCMHZo6BvSDcP9PQXwDKaBvtQ</recordid><startdate>20180903</startdate><enddate>20180903</enddate><creator>Traini, Luca</creator><general>ACM</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20180903</creationdate><title>A multi-objective framework for effective performance fault injection in distributed systems</title><author>Traini, Luca</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a275t-e2c2b0c8a136db32ed7a41ac3a72dce46929f76a2e3965c02eeaec1cbf248043</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Distributed Systems</topic><topic>Fault Injection</topic><topic>Software and its engineering -- Software creation and management -- Search-based software engineering</topic><topic>Software and its engineering -- Software organization and properties -- Extra-functional properties -- Software performance</topic><topic>Software Performance</topic><toplevel>online_resources</toplevel><creatorcontrib>Traini, Luca</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Traini, Luca</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A multi-objective framework for effective performance fault injection in distributed systems</atitle><btitle>2018 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE)</btitle><stitle>ASE</stitle><date>2018-09-03</date><risdate>2018</risdate><spage>936</spage><epage>939</epage><pages>936-939</pages><eissn>2643-1572</eissn><isbn>145035937X</isbn><isbn>9781450359375</isbn><eisbn>145035937X</eisbn><eisbn>9781450359375</eisbn><abstract>Modern distributed systems should be built to anticipate performance degradation. Often requests in these systems involve ten to thousands Remote Procedure Calls, each of which can be a source of performance degradation. The PhD programme presented here intends to address this issue by providing automated instruments to effectively drive performance fault injection in distributed systems. The envisioned approach exploits multi-objective search-based techniques to automatically find small combinations of tiny performance degradations induced by specific RPCs,which have significant impacts on the user-perceived performance. Automating the search of these events will improve the ability to inject performance issues in production in order to force developers to anticipate and mitigate them.</abstract><cop>New York, NY, USA</cop><pub>ACM</pub><doi>10.1145/3238147.3241535</doi><tpages>4</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISBN: 145035937X |
ispartof | 2018 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE), 2018, p.936-939 |
issn | 2643-1572 |
language | eng |
recordid | cdi_ieee_primary_8999843 |
source | IEEE Xplore All Conference Series |
subjects | Distributed Systems Fault Injection Software and its engineering -- Software creation and management -- Search-based software engineering Software and its engineering -- Software organization and properties -- Extra-functional properties -- Software performance Software Performance |
title | A multi-objective framework for effective performance fault injection in distributed systems |
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