2010
DOI: 10.1007/978-3-642-14412-7_7
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A Bio-inspired Algorithm for Energy Optimization in a Self-organizing Data Center

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Cited by 51 publications
(36 citation statements)
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“…Barbagallo et al (2010) put forward self-organizing architectures for dynamic workload distribution, using a decentralized approach built on top of SelfLet architecture. SelfLet architecture (Devescovi et al 2007) is a bioinspired system that possesses the capability to change and adapt its internal behavior dynamically, according to variations in the environment.…”
Section: Datacenter Optimizationmentioning
confidence: 99%
“…Barbagallo et al (2010) put forward self-organizing architectures for dynamic workload distribution, using a decentralized approach built on top of SelfLet architecture. SelfLet architecture (Devescovi et al 2007) is a bioinspired system that possesses the capability to change and adapt its internal behavior dynamically, according to variations in the environment.…”
Section: Datacenter Optimizationmentioning
confidence: 99%
“…Thus, power consumption limits the advances in computer technology and is becoming a relevant part on the budget of present data centers. According to [12] power is the second-highest operating cost in 70% of all data centers and data centers are responsible for the emission of tens of millions of metric tons of carbon dioxide annually, more than 2% of the total global emissions. As a result there has been as well a recent research interest in the development of energy efficient data centers.…”
Section: Related Workmentioning
confidence: 99%
“…Barbagallo et al [19] described a bio-inspired algorithm hinged on the scout-worker migration method where some of the scouts are professed to move from one physical node to another so that they can cooperatively find a suitable destination for the workers (i.e. the VMs) which are migrated.…”
Section: A Review On Resource Management In Cloud Computingmentioning
confidence: 99%