publication . Conference object . 2016

Quantifying the Impact of Replication on the Quality-of-Service in Cloud Databases

Rasha Osman; Juan F. Perez; Giuliano Casale;
Open Access
  • Published: 26 May 2016
  • Publisher: IEEE
  • Country: United Kingdom
Abstract
Cloud databases achieve high availability by automatically replicating data on multiple nodes. However, the overhead caused by the replication process can lead to an increase in the mean and variance of transaction response times, causing unforeseen impacts on the offered quality-of-service (QoS). In this paper, we propose a measurement-driven methodology to predict the impact of replication on Database-as-a-Service (DBaaS) environments. Our methodology uses operational data to parameterize a closed queueing network model of the database cluster together with a Markov model that abstracts the dynamic replication process. Experiments on Amazon RDS show that our m...
Subjects
free text keywords: Cloud computing, business.industry, business, Data mining, computer.software_genre, computer, Quality of service, Replicating portfolio, Markov model, Database, Response time, Database transaction, High availability, Provisioning, Computer science
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publication . Conference object . 2016

Quantifying the Impact of Replication on the Quality-of-Service in Cloud Databases

Rasha Osman; Juan F. Perez; Giuliano Casale;