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OPEN PhD POSITION
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TITLE
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Towards Scalable and Dependable Computing in the Cloud
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KEYWORDS
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Distributed systems, Cloud computing, QoS, SLA, Scalability, Dependability
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RESEARCH DESCRIPTION
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Cloud Computing is a paradigm for enabling remote, on-demand access to a
set of configurable computing resources. A Cloud may stand at different
levels of the hardware and software stack where: (i) an Infrastructure
as a Service (IaaS) cloud enables access to hardware resources such as
servers and storage devices, (ii) a Platform as a Service (PaaS) cloud
allows the access to software resources such as operating systems and
software development environment, and (iii) a Software as a Service
(SaaS) cloud is an alternative to classical software applications
running locally on personal computers which are, instead, provided
remotely by the cloud (e.g. messaging services, document editing
services, etc.). Although Cloud Computing provides a means to support
remote, on-demand access to computing resources, its ad-hoc management
poses significant challenges to the scalability, performance,
dependability and economical costs of cloud services.
A differentiating element between Cloud Computing environments will be
the quality-of service (QoS) and the service level agreement (SLA)
provided by the cloud. However, service composition and cloud elasticity
that underlie Cloud Computing make cloud management challenging. The
proposed PhD project aims at investigating novel protocols for scalabile
and efficient cloud provisioning, while guaranteeing dependability and
reducing costs. The project will study an innovative approach that
combines control theory techniques with distributed algorithms in order
to build self-elastic clouds. Novel models, control laws, and
distributed algorithms will be proposed for automated provisioning,
configuration and deployment of cloud services to meet SLA requirements,
while tackling scalability and dynamics issues.
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SKILLS
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Distributed computing systems, Distributed algorithms, Java programming
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LOCATION AND SALARY
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A PhD studentship for 3 years is available. The monthly gross salary is
1 947.80 € during the two first years and 2 048.60 € during the last year.
The successful candidate will join the SARDES Distributed Systems
Research Group at INRIA Grenoble:
http://www.inria.fr/grenoble/
INRIA
SARDES Research Group
655, avenue de l'Europe, Montbonnot
38334 St Ismier Cedex, France
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CONTACT
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Application materials (including CV and the names of two referees)
should be sent by email to Dr Sara Bouchenak.
Phone: +33 (0)4 7661 53 82 | Fax: +33 (0)4 7661 52 52
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