Anticipating Requests to Improve Performance and Reduce Costs in Cloud Storage

Autor:	Tulio Alberton Ribeiro, Hylson Vescovi Netto, Aldelir Fernando Luiz, Miguel Correia, Lau Cheuk Lung
Rok vydání:	2015
Předmět:	Flexibility (engineering) Computer Networks and Communications business.industry Computer science Distributed computing Cloud computing Hardware and Architecture Order (business) Scalability business Cloud storage Byzantine fault tolerance Software Reliability (statistics)
Zdroj:	ACM SIGMETRICS Performance Evaluation Review. 43:21-24
ISSN:	0163-5999
DOI:	10.1145/2847220.2847226
Popis:	Clouds are a suitable place to store data with scalability and financial flexibility. However, it is difficult to ensure the reliability of the data stored in a cloud. Byzantine fault tolerance can improve reliability, but at a high cost. This paper presents a technique that anticipates requests in order to reduce that cost. We show that this technique improves the performance in comparison with related works and maintains the desired data reliability.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3955d120d00cddb10b17159bd984f956 https://doi.org/10.1145/2847220.2847226 Zobrazit plný text záznamu