1 resultado para customer analytics
em Duke University
Filtro por publicador
- JISC Information Environment Repository (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (2)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (10)
- Andina Digital - Repositorio UASB-Digital - Universidade Andina Simón Bolívar (1)
- Archive of European Integration (4)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (2)
- Aston University Research Archive (47)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (19)
- Boston University Digital Common (1)
- Brock University, Canada (1)
- Cambridge University Engineering Department Publications Database (10)
- CentAUR: Central Archive University of Reading - UK (38)
- Center for Jewish History Digital Collections (1)
- Cochin University of Science & Technology (CUSAT), India (5)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (8)
- CUNY Academic Works (4)
- Dalarna University College Electronic Archive (1)
- Deakin Research Online - Australia (109)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (17)
- Digital Peer Publishing (4)
- DigitalCommons@The Texas Medical Center (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (9)
- DRUM (Digital Repository at the University of Maryland) (5)
- Duke University (1)
- FUNDAJ - Fundação Joaquim Nabuco (1)
- Glasgow Theses Service (1)
- Helda - Digital Repository of University of Helsinki (34)
- Indian Institute of Science - Bangalore - Índia (5)
- Instituto Politécnico do Porto, Portugal (2)
- Martin Luther Universitat Halle Wittenberg, Germany (1)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (1)
- Nottingham eTheses (2)
- Open University Netherlands (5)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (2)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (26)
- Queensland University of Technology - ePrints Archive (374)
- RDBU - Repositório Digital da Biblioteca da Unisinos (4)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (1)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (4)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (2)
- Repositorio Institucional Universidad EAFIT - Medelin - Colombia (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (17)
- SAPIENTIA - Universidade do Algarve - Portugal (2)
- Universidad Autónoma de Nuevo León, Mexico (1)
- Universidad del Rosario, Colombia (4)
- Universidad Politécnica de Madrid (11)
- Universidade Complutense de Madrid (1)
- Universidade Metodista de São Paulo (1)
- Universita di Parma (1)
- Universitat de Girona, Spain (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (3)
- Université de Montréal, Canada (1)
- University of Canberra Research Repository - Australia (1)
- University of Connecticut - USA (1)
- University of Michigan (12)
- University of Queensland eSpace - Australia (33)
- University of Southampton, United Kingdom (7)
- University of Washington (2)
- WestminsterResearch - UK (3)
Resumo:
Cumulon is a system aimed at simplifying the development and deployment of statistical analysis of big data in public clouds. Cumulon allows users to program in their familiar language of matrices and linear algebra, without worrying about how to map data and computation to specific hardware and cloud software platforms. Given user-specified requirements in terms of time, monetary cost, and risk tolerance, Cumulon automatically makes intelligent decisions on implementation alternatives, execution parameters, as well as hardware provisioning and configuration settings -- such as what type of machines and how many of them to acquire. Cumulon also supports clouds with auction-based markets: it effectively utilizes computing resources whose availability varies according to market conditions, and suggests best bidding strategies for them. Cumulon explores two alternative approaches toward supporting such markets, with different trade-offs between system and optimization complexity. Experimental study is conducted to show the efficiency of Cumulon's execution engine, as well as the optimizer's effectiveness in finding the optimal plan in the vast plan space.