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Cloud Resource Orchestration: A Data-Centric Approach

Summary: Advocates a data-centric orchestration model treating cloud resources as structured data queryable/updated via a declarative language with transactional semantics. Presents DMF prototype (data models, language, semantics) and evaluates DB-style abstractions for distributed provisioning, configuration and lifecycle management. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
167
Venue
CIDR
Year
2011
Pagerank
5.093636e-05
Overall Rank
12,360 | 15.20%
DOI
-

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{liu_cidr11,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '11},
        title = {{Cloud Resource Orchestration: A Data-Centric Approach}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Liu, Changbin and Mao, Yun and Van der Merwe, Jacobus E. and Fernández, Mary F.},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
7,645 Cologne: A Declarative Distributed Constraint Optimization Platform 2012 VLDB 5.5763131e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
61 Maintaining Views Incrementally 1993 SIGMOD 0.00039026867
127 The Design of the Borealis Stream Processing Engine 2005 CIDR 0.00030738755
230 Gigascope: A Stream Database for Network Applications 2003 SIGMOD 0.00023891474
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