High‐Performance Computing on Complex Environments 2014
DOI: 10.1002/9781118711897.ch19
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Strategies for Increased Energy Awareness in Cloud Federations

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Cited by 6 publications
(4 citation statements)
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“…[23]- [26]). However, only a few recent works focused on the federation formation for the purpose of energy cost reduction [7], [12], [27], [28] as well as energy sustainability [29].…”
Section: B Energy Management Of Cloud Federationmentioning
confidence: 99%
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“…[23]- [26]). However, only a few recent works focused on the federation formation for the purpose of energy cost reduction [7], [12], [27], [28] as well as energy sustainability [29].…”
Section: B Energy Management Of Cloud Federationmentioning
confidence: 99%
“…The prior works in [7], [12], [27], [28] assumed that the electricity prices are not affected by the CPs' cooperation. Consequently, they did not consider the impact of the cloud federation on the smart grid as well as how the smart grid takes its decision while taking into account the cooperative workload management of the CPs.…”
Section: B Energy Management Of Cloud Federationmentioning
confidence: 99%
“…Whereas data center ecosystems offer new opportunities for energy-driven management, they also encompass new challenges that must be considered [44,56,10], such as the distant geographic locations of data centers, which have an impact in the migration of VMs (increasing the cost significantly (and the consumed energy) and frequently causing service level degradations for the affected customers) and in the data exchange among VMs located in different data centers (increasing the communication latency among them); the independent administrative domains involved in the ecosystem, which have frequently conflicting goals and do not generally disclose information about their energy consumption and energy mix, thus increasing the need for third parties to independently assess energy data of data centers and share this information within the ecosystem; and the importance of the prediction accuracy of the input data (e.g. workload, energy price, renewable energy), which depends on the predictability of each data source and the prediction window length, and can be a downgrading factor on the efficiency of the management algorithms.…”
Section: Data Center Ecosystemsmentioning
confidence: 99%
“…On the other hand, there is an unexplored potential for energy-aware operation in federated and interoperable clouds. Our research in [29] was targeted at examining what new aspects of energy awareness can be exploited in federative schemes.…”
Section: Energy Efficient Management Of Cloud Federationsmentioning
confidence: 99%