POLAr: Geographic Placement Optimization for Latency Sensitive Applications
| Autor: | Carlini Emanuele, Vinicius Monteiro de Lira, Patrizio Dazzi |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
050101 languages & linguistics
Computer science End user business.industry Genetic Algorithms Network on 05 social sciences Cloud computing 02 engineering and technology Software User experience design Resource Management 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences Graphical model Quality of experience Latency (engineering) business Computer network |
| Zdroj: | MDM The 20th IEEE International Conference on Mobile Data Management (MDM 2019), pp. 361–362, 10-13/06/2019 info:cnr-pdr/source/autori:Monteiro De Lira V. C.; Carlini E.; Dazzi P./congresso_nome:The 20th IEEE International Conference on Mobile Data Management (MDM 2019)/congresso_luogo:/congresso_data:10-13%2F06%2F2019/anno:2019/pagina_da:361/pagina_a:362/intervallo_pagine:361–362 |
| DOI: | 10.1109/mdm.2019.00-31 |
| Popis: | To assure a timely fruition of media and interactive applications to end users is a complex challenge, especially when potentially spread worldwide, at home or in mobility. It in fact requires a careful placement of the software services on the right computational resources, such that those services are placed as close as possible to end users to mitigate the effect of network on the user experience. In this demo paper, we present a tool that aims to facilitate the placement of latency sensitive applications on computational resources, by considering the geographical positioning of the user demand, the user experience, and the budget limitation of application owners. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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