Cita:
REACTION 2012, co-located with IEEE RTSS. San Juan, Puerto Rico. December 4th, 2012. Universidad Carlos III de Madrid, 2012, pp. 39-44
Agradecimientos:
This work was supported in part by the National Science
Foundation NSF SHF/CNS Award CNS 0915976 and NSF
CAREER CNS 0845789. Any opinions, findings, and conclusions
or recommendations expressed in this material are
those of the author(s) and do not necessarily reflect the views
of the National Science Foundation.
Palabras clave:
Fault-tolerance
,
Cloud computing
,
Framework
,
Availability and response times
Derechos:
Atribución-NoComercial-SinDerivadas 3.0 España
Resumen:
Applications are increasingly being deployed in
the Cloud due to benefits stemming from economy of scale,
scalability, flexibility and utility-based pricing model. Although
most cloud-based applications have hitherto been enterprisestyle,
there is a new trApplications are increasingly being deployed in
the Cloud due to benefits stemming from economy of scale,
scalability, flexibility and utility-based pricing model. Although
most cloud-based applications have hitherto been enterprisestyle,
there is a new trend towards hosting performancesensitive
applications in the cloud that demand both high
availability and good response times. In the current stateof-
the-art in cloud computing research, there does not exist
solutions that provide both high availability and acceptable
response times to these applications in a way that also optimizes
resource consumption in data centers, which is a key consideration
for cloud providers. This paper addresses this dual
challenge by presenting a design of a fault-tolerant framework
for virtualized data centers that makes two important contributions.
First, it describes an architecture of a fault-tolerance
framework that can be used to automatically deploy replicas
of virtual machines in data centers in a way that optimizes
resources while assures availability and responsiveness. Second,
it describes a specific formulation of a replica deployment
combinatorial optimization problem that can be plugged into
our strategizable deployment framework.[+][-]
Nota:
REACTION 2012. 1st International workshop on Real-time and distributed computing in emerging applications. December 4th, 2012, San Juan, Puerto Rico.