🇬🇧 İngilizce içerik

Access to the publication

10.1109/ICCCN.2019.8847159

Ekici, N. U., Schmidt, K. W., Yazar, A., & Schmidt, E. G. (2019, July). Resource allocation for minimized power consumption in hardware accelerated clouds. In 2019 28th International Conference on Computer Communication and Networks (ICCCN) (pp. 1-8). IEEE.

@inproceedings{ekici2019resource,
  title={Resource allocation for minimized power consumption in hardware accelerated clouds},
  author={Ekici, Nazim Umut and Schmidt, Klaus Werner and Yazar, Alper and Schmidt, Ece Guran},
  booktitle={2019 28th International Conference on Computer Communication and Networks (ICCCN)},
  pages={1--8},
  year={2019},
  organization={IEEE}
}

Abstract

In this paper we propose ACCLOUD-MAN, a novel resource manager for heterogeneous cloud data centers. In heterogeneous clouds a user request can be satisfied with more than one physical resource alternative. That is, the resource manager must decide which resource alternative will be chosen, along with the decision of the server the request will be assigned to. ACCLOUD-MAN’s resource management objective is to reduce the power consumption of the cloud data center. To this end, the manager is modeled as an integer linear programming problem and is implemented in MATLAB, along with a cloud data center simulation platform. Simulation results show that the proposed ACCLOUD-MAN outperforms existing resource allocation methods such as Openstack.

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