Real-Time Resource Monitoring for Poly/ML Processes
Poly/ML, a run time system of the Standard ML language, has with its latest version 5.5 included a statistics feature which provides information about the running system and ML programs running in that system. This feature provides information about the program threads running in the system, memory...
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Uppsala universitet, Institutionen för informationsteknologi
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ndltd-UPSALLA1-oai-DiVA.org-uu-1989982013-05-03T04:14:15ZReal-Time Resource Monitoring for Poly/ML ProcessesengStenqvist, MagnusUppsala universitet, Institutionen för informationsteknologi2013Poly/ML, a run time system of the Standard ML language, has with its latest version 5.5 included a statistics feature which provides information about the running system and ML programs running in that system. This feature provides information about the program threads running in the system, memory usages, garbage collection Information and user defined data. The problem is that the statistics information is only accessible through the use of the language C. No way exist today that reads and displays this data automatically. It would be very convenient for developers, to have an easy access to this statistic data, to better evaluate their ML programs running in the Poly/ML system. This report presents a Java application that collects the statistics data of Poly/ML and displays it in a graphical environment easy to observe by the user. This application will help developers develop programs with Poly/ML, by letting them observe how their programs affect the Poly/ML run time system. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-198998IT ; 13 015application/pdfinfo:eu-repo/semantics/openAccess |
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English |
format |
Others
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NDLTD |
description |
Poly/ML, a run time system of the Standard ML language, has with its latest version 5.5 included a statistics feature which provides information about the running system and ML programs running in that system. This feature provides information about the program threads running in the system, memory usages, garbage collection Information and user defined data. The problem is that the statistics information is only accessible through the use of the language C. No way exist today that reads and displays this data automatically. It would be very convenient for developers, to have an easy access to this statistic data, to better evaluate their ML programs running in the Poly/ML system. This report presents a Java application that collects the statistics data of Poly/ML and displays it in a graphical environment easy to observe by the user. This application will help developers develop programs with Poly/ML, by letting them observe how their programs affect the Poly/ML run time system. |
author |
Stenqvist, Magnus |
spellingShingle |
Stenqvist, Magnus Real-Time Resource Monitoring for Poly/ML Processes |
author_facet |
Stenqvist, Magnus |
author_sort |
Stenqvist, Magnus |
title |
Real-Time Resource Monitoring for Poly/ML Processes |
title_short |
Real-Time Resource Monitoring for Poly/ML Processes |
title_full |
Real-Time Resource Monitoring for Poly/ML Processes |
title_fullStr |
Real-Time Resource Monitoring for Poly/ML Processes |
title_full_unstemmed |
Real-Time Resource Monitoring for Poly/ML Processes |
title_sort |
real-time resource monitoring for poly/ml processes |
publisher |
Uppsala universitet, Institutionen för informationsteknologi |
publishDate |
2013 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-198998 |
work_keys_str_mv |
AT stenqvistmagnus realtimeresourcemonitoringforpolymlprocesses |
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1716585430658318336 |