2015
DOI: 10.1016/j.future.2014.01.003
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Resource discovery and allocation for federated virtualized infrastructures

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Cited by 18 publications
(9 citation statements)
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References 14 publications
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“…Yu and Pan demonstrated the use of hypergraphs in modeling the data placement problem by partitioning data items and placing them at the datacenters . Virtual network resource allocation in geo‐distributed clouds or federated clouds also attracts attention in the past few years . However, while they mostly focused on minimizing network latency and optimizing bandwidth utilization by means of network topology mapping, our main objective here is to optimize the cross‐datacenter data transfer volume by workflow task and data co‐scheduling.…”
Section: Related Workmentioning
confidence: 99%
“…Yu and Pan demonstrated the use of hypergraphs in modeling the data placement problem by partitioning data items and placing them at the datacenters . Virtual network resource allocation in geo‐distributed clouds or federated clouds also attracts attention in the past few years . However, while they mostly focused on minimizing network latency and optimizing bandwidth utilization by means of network topology mapping, our main objective here is to optimize the cross‐datacenter data transfer volume by workflow task and data co‐scheduling.…”
Section: Related Workmentioning
confidence: 99%
“…In this section, we discuss these issues, and accordingly, we provide a set of evaluation aspects which must be considered in the evaluation of any discovery approach. Table 7 provides an overview of the most important performance factors (i.e., evaluation metrics) for assessing discovery protocols [295][296][297][298][299]. In the remaining of this section, we further discuss these issues and relevant evaluation strategies to measure the performance factors.…”
Section: Evaluation Aspectsmentioning
confidence: 99%
“…The general embedding problem is computationally intractable. Resource discovery has attracted less research attention than resource allocation [2], despite its large impact on the actual allocation process. The NOVI federation is empowered with a semantic-based, distributed resource discovery and mapping framework; semantic web techniques were exploited to facilitate interoperability in the federation of heterogeneous testbeds, while a hierarchical framework has been prototyped for distributed allocation of physical to virtual resources across the federated substrate.…”
Section: Information Modelmentioning
confidence: 99%
“…RIS uses a database engine based on semantic web technologies where the data is stored as RDF triples. An extended description of the RIS is provided in [2].…”
Section: Semantic-based Resource Discovery and Mapping Servicementioning
confidence: 99%
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