{"title":"RunMyCode: An innovative platform for social production and evaluation of scientific research","authors":"Layth Sliman, Benoit Charroux, Yvan Stroppa","doi":"10.1109/CASoN.2012.6412387","DOIUrl":null,"url":null,"abstract":"In this paper we describe RunMyCode (RMC), a cloud based Platform as a Service tool (PaaS) which involves researchers collaborating across different time and geographical zones to produce research results along with their related papers. It helps researchers to incrementally co-create, deploy, evaluate, optimize and reproduce their research. It allows also a continuous integration and enhancement of different types of research artefacts including visual models, software and scripts. RMC extends traditional collaborative platforms by means of a scientific research-oriented social layer which allows intensive user contribution, interactions, and community building along with a content management system that lets researchers share, evaluate and develop valuable knowledge. RMC features include load balancing, elastic context aware and data-driven resource allocation, and parallel and “parameterizable” task execution.","PeriodicalId":431370,"journal":{"name":"2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CASoN.2012.6412387","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In this paper we describe RunMyCode (RMC), a cloud based Platform as a Service tool (PaaS) which involves researchers collaborating across different time and geographical zones to produce research results along with their related papers. It helps researchers to incrementally co-create, deploy, evaluate, optimize and reproduce their research. It allows also a continuous integration and enhancement of different types of research artefacts including visual models, software and scripts. RMC extends traditional collaborative platforms by means of a scientific research-oriented social layer which allows intensive user contribution, interactions, and community building along with a content management system that lets researchers share, evaluate and develop valuable knowledge. RMC features include load balancing, elastic context aware and data-driven resource allocation, and parallel and “parameterizable” task execution.