Green Data Center Networks and Energy-awareJob Scheduling
ETIS Lab (https://www-etis.ensea.fr) in Cergy-Pontoise is seeking for a PhD candidate with a specialty in algorithms and network protocols in green data center infrastructure.
Nowadays, power consumption of data centers has huge impacts on environments. Researchers are seeking to nd eective solutions to make data centers reduce power consumption while keep the desired quality of service or service level objectives. Basically, the energy consumption in data centers can be reduced by two means: (a) ecient design of the data centers in terms of cooling  or use of renewable sources of energy ; and (b) intelligent resource management and design of energy-aware network
protocols. The most prominent \green" alternative therefore is to use renewable energy sources and then to adapt the network architecture and to optimize network job scheduling within the data center by taking into account both energy-consumption and quality of service constraints, like for instance in .
The PhD candidate will address all aspects of the network protocol design for green data centers, including algorithms design, protocol design and prototyping, with a particular emphasis on the tradeoff between the network protocols and architectures and the energy consumption.
 J. Ni and X. Bai, A review of air conditioning energy performance in data centers," Renewable and sustainable energy reviews, vol. 67, pp.625-640, 2017.
 Md Sabbir Hasan, Yousri Kouki, Thomas Ledoux and Jean-Louis Pazat, \Exploiting Renewable sources: when Green SLA becomes a possible reality in Cloud computing", https://hal.archives-ouvertes.fr/hal-01187907v1 2017
 Yunbo Li, Anne-Cecile Orgerie and Jean-Marc Menaud, \Balancing the use of batteries and opportunistic scheduling policies for maximizing renewable energy consumption in a Cloud data center", 25th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, https://hal.archives-ouvertes.fr/hal-01432752, 2017.
The PhD applicant must have a Master degree in computer science or in communication systems, as well as a strong background in networking and excellent programming skills. An experience in Hadoop, virtual networks, Linux administration or algorithms is a plus.
The knowledge of French is not required for this position.
The PhD thesis is funded by the ECOBIO H2 innovative project that has received a French government support managed by the Agency of Environment and Energy Management (ADEME).
Applicants should send a short email together with a detailed Curriculum Vitae and his/her graduate notes to the address below.
Expected start date: September - November 2018
Location: Laboratoire ETIS UMR 8051, Universite Paris Seine, Universite Cergy-Pontoise, ENSEA, CNRS, 6 avenue du Ponceau, 95014 Cergy-Pontoise.
Contact: Iryna Andriyanova (email@example.com)
Phone: +33 (0)1 34 25 28 37
(c) GdR 720 ISIS - CNRS - 2011-2018.