Abstract | ||
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Hundreds of natural disasters occur in many parts of the world every year, causing billions of dollars in damages. This fact contrasts with the high availability requirement of cloud computing systems, and, to protect such systems from unforeseen catastrophe, a recovery plan requires the utilization of different data centers located far enough apart. However, the time to migrate a VM from a data center to another increases due to distance. This work presents dependability models for evaluating distributed cloud computing systems deployed into multiple data centers considering disaster occurrence. Additionally, we present a case study which evaluates several scenarios with different VM migration times and distances between data centers. |
Year | DOI | Venue |
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2013 | 10.1109/DSN.2013.6575323 | DSN |
Keywords | Field | DocType |
disaster occurrence,different data center,natural disaster,dependability model,high availability requirement,data center,different vm migration time,cloud computing system,multiple data center,disaster tolerant cloud computing,case study,availability,virtual machines,system protection,software reliability,cloud computing,stochastic petri nets,computational modeling,distributed databases,data models,disasters,natural disasters,servers | Dependability,Virtual machine,Computer science,Computer security,Server,Real-time computing,Distributed database,Business continuity,High availability,Data center,Cloud computing,Distributed computing | Conference |
ISSN | Citations | PageRank |
1530-0889 | 13 | 0.63 |
References | Authors | |
11 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bruno Silva | 1 | 124 | 16.86 |
Paulo Maciel | 2 | 258 | 30.35 |
Eduardo Tavares | 3 | 161 | 25.22 |
Armin Zimmermann | 4 | 290 | 32.66 |