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Mostrando ítems 1-6 de 6
Artículo
GAME-SCORE: Game-based energy-aware cloud scheduler and simulator for computational clouds
(Elsevier, 2019)
Energy-awareness remains one of the main concerns for today's cloud computing (CC) operators. The optimisation of energy consumption in both cloud computational clusters and computing servers is usually related to ...
Artículo
DISCERNER: Dynamic selection of resource manager in hyper-scale cloud-computing data centres
(Elsevier, 2021)
Data centres constitute the engine of the Internet, and run a major portion of large web and mobile applications, content delivery and sharing platforms, and Cloud-computing business models. The high performance of such ...
Artículo
Machine learning regression to boost scheduling performance in hyper-scale cloud-computing data centres
(Elsevier, 2022)
Data centres increase their size and complexity due to the increasing amount of heterogeneous work loads and patterns to be served. Such a mix of various purpose workloads makes the optimisation of resource management ...
Artículo
SCORE: Simulator for cloud optimization of resources andenergy consumption
(Elsevier, 2018)
Achieving efficiency both in terms of resource utilisation and energy consumption is acomplex challenge, especially in large-scale wide-purpose data centers that serve cloud- computing services. Simulation presents an ...
Artículo
Security supportive energy-aware scheduling and energy policies for cloud environments
(Elsevier, 2018)
Cloud computing (CC) systems are the most popular computational environments for providing elastic and scalable services on a massive scale. The nature of such systems often results in energy-related problems that have ...
Artículo
Sphere: Simulator of edge infrastructures for the optimization of performance and resources energy consumption
(Elsevier, 2020)
Edge computing constitutes a key paradigm to address the new requirements of areas such as smart cars, industry 4.0, and health care, where massive amounts of heterogeneous data from continuous geographically-distributed ...