1 resultado para Scheduler simulator
em WestminsterResearch - UK
Filtro por publicador
- Repository Napier (1)
- Aberdeen University (1)
- Aberystwyth University Repository - Reino Unido (1)
- Adam Mickiewicz University Repository (1)
- AMS Campus - Alm@DL - Università di Bologna (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (3)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (4)
- Applied Math and Science Education Repository - Washington - USA (1)
- Aquatic Commons (3)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (6)
- Aston University Research Archive (10)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (3)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (1)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (13)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (22)
- Boston University Digital Common (15)
- CaltechTHESIS (1)
- Cambridge University Engineering Department Publications Database (43)
- CentAUR: Central Archive University of Reading - UK (57)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (33)
- Cochin University of Science & Technology (CUSAT), India (3)
- CORA - Cork Open Research Archive - University College Cork - Ireland (4)
- Dalarna University College Electronic Archive (9)
- Department of Computer Science E-Repository - King's College London, Strand, London (2)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Commons - Michigan Tech (2)
- DigitalCommons@The Texas Medical Center (2)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Diposit Digital de la UB - Universidade de Barcelona (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (2)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (4)
- Earth Simulator Research Results Repository (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (23)
- Greenwich Academic Literature Archive - UK (7)
- Helda - Digital Repository of University of Helsinki (9)
- Indian Institute of Science - Bangalore - Índia (87)
- Institutional Repository of Leibniz University Hannover (2)
- Instituto Politécnico do Porto, Portugal (69)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (4)
- Massachusetts Institute of Technology (7)
- Nottingham eTheses (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (1)
- Publishing Network for Geoscientific & Environmental Data (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (51)
- Queensland University of Technology - ePrints Archive (168)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (7)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (2)
- Repositório Institucional da Universidade de Aveiro - Portugal (6)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (63)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (3)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Universidad del Rosario, Colombia (5)
- Universidad Politécnica de Madrid (17)
- Universidade Complutense de Madrid (3)
- Universidade Federal do Rio Grande do Norte (UFRN) (54)
- Universitat de Girona, Spain (7)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- Université de Montréal, Canada (13)
- University of Michigan (49)
- University of Queensland eSpace - Australia (15)
- University of Washington (1)
- WestminsterResearch - UK (1)
Resumo:
This paper presents the Accurate Google Cloud Simulator (AGOCS) – a novel high-fidelity Cloud workload simulator based on parsing real workload traces, which can be conveniently used on a desktop machine for day-to-day research. Our simulation is based on real-world workload traces from a Google Cluster with 12.5K nodes, over a period of a calendar month. The framework is able to reveal very precise and detailed parameters of the executed jobs, tasks and nodes as well as to provide actual resource usage statistics. The system has been implemented in Scala language with focus on parallel execution and an easy-to-extend design concept. The paper presents the detailed structural framework for AGOCS and discusses our main design decisions, whilst also suggesting alternative and possibly performance enhancing future approaches. The framework is available via the Open Source GitHub repository.