att_abstract={Cloud computing provides users near instant access to seemingly
unlimited resources, and provides service providers the opportunity
to deploy complex information technology infrastructure, as a service,
to their customers. Providers benefit from economies of scale
and multiplexing gains afforded by sharing of resources through
virtualization of the underlying physical infrastructure. However,
the scale and highly dynamic nature of cloud platforms impose
significant new challenges to cloud service providers. In particular,
realizing sophisticated cloud services requires a cloud control
framework that can orchestrate cloud resource provisioning, configuration,
utilization and decommissioning across a distributed set
of physical resources. In this paper we advocate a data-centric approach
to cloud orchestration. Following this approach, cloud resources
are modeled as structured data that can be queried by a
declarative language, and updated with well-defined transactional
semantics. We examine the feasibility, benefits and challenges of
the approach, and present our design and prototype implementation
of the Data-centric Management Framework (DMF) as a solution,
with data models, query languages and semantics that are specifically
designed for cloud resource orchestration.},
	att_authors={ym747h, jv2782, mf3873},
	att_copyright={the CIDR conference},
	att_copyright_notice={The definitive version was published in Conference on Innovative Data Systems Research (CIDR 2011). {{, 2011-01-11}}},
	att_tags={cloud computing, management, transaction},
	author={Changbin Liu and Yun Mao AND Jacobus Van der merwe AND Maria Fernandez},
	booktitle={In Proceedings of The 5th biennial Conference on Innovative Data Systems Research (CIDR)},
	institution={{The biennial Conference on Innovative Data Systems Research (CIDR) 2011}},
	title={{Cloud Resource Orchestration: A Data-Centric Approach}},