6 PhD offers in cloud computing, data analysis, resource management, data center inter-networking, software-defined networking, etc.

 

The Synchromedia Lab (http://www.synchromedia.ca) at the École de Technologie Supérieure (Université du Québec)  is seeking for 6 talent PhD candidates with a specialty in various fields of cloud computing, data analysis, data center networking, software-defined network, environment, etc.

In addition to offers below, we are particularly interested in candidates with skills in networking, cloud computing and data analysis in general. Please send us an email with your profile and research purpose

Applications shall include a CV, transcripts, and a cover letter. Selected applicants will be contacted for a screening view.

 

  knguyen@synchromedia.ca

 



 

 Ph.D in Software-Defined Data Center Fabrics


This project will build on Software Defined Networking (SDN) technology to allow data center network fabrics to be specified using target independent domain specific programming languages. The project will investigate innovative approaches that enable advances in data-plane programming and network-wide policy specification in next-generation data centers.

Recently, a new concept of Programming Protocol-Independent Packet Processors has emerged in a wide-range of applications to a variety of networking devices. In particular, domain specific languages such as P4 have the ability to transform the networking industry by allowing network operators to deploy new network features across a number for network devices in a multi-vendor environment. There is still a wide gap between the concept of a generalized language for packet processing and the ability to deploy arbitrary programs across programmable packet processing targets such as general purpose CPUS, Network Processors (NPUs), FPGAs and programmable ASICs. This project will develop new models and algorithms to address a next-generation programmable forwarding plane of network elements, based on P4 programming language, with respect to new virtualized and physical network functions.

In addition, while the ability to deliver SDN is rooted in the ability to program individual devices, network configuration remains a complex process. This project will therefore develop new techniques that optimize individual device function based on overall network configuration. In reality, Network Function Virtualization (NFV) enables feature deployment agility by moving the data plane from hardware appliances to virtual machines. Virtualization techniques enable server consolidation and the ability to elastically scale capability through the use of commercial off-the shelf hardware (COTS). The outcome of this project will help expand the capability of carrier grade servers to respond to the ever-increasing volume of network traffic.

The successful candidate will be working at the Synchromedia Lab, renowned by world-class projects in cloud computing, such as PanLab I, PanLab II, HPDMNet, GreenStar Network, Green Sustainable Telco Cloud, and Canada Research Chair on Smart Sustainable Eco-Cloud. He/she will receive a yearly stipend from the research funds provided by Ericsson, Ciena, NSERC and MITACS. He/she will also obtain valuable experience through internships at Ciena Research Center at Montreal and Ottawa, the largest R&D centres of the world’s #1 optical network provider.

                 Required qualifications:

  • Strong background in networking, virtual networks
  •  Expertise in cloud computing and software-defined networking (e.g., OpenFlow)
  • Excellent programming skills
  •  Good communication and writing skills
  • Knowledge of French is not required for this position.

                                                                                                                                                                                                                             HTML tutorial

Ph.D in traffic modeling and link scheduling


The Synchromedia Lab  is seeking for a PhD candidate with a specialty in inter- data center networking.

Today, network operators are increasingly managing their pools of network elements and long-haul connections with the help of WAN controllers, like OSCARS, OpenDRAC, Argia, and v-WAN. With an increase in traffic demand and heterogeneity of network architecture, these WAN controllers are facing challenges of interoperation & analytics. Therefore, analytical models adding to such inter-datacenter tools are required to help carriers planning ahead how to deploy their on-demand circuit without excessive over-provisioning.

This PhD project, supported by Ciena and NSERC, will be dedicated for traffic models and optimization algorithms helping deliver cheaper bits through maximized use of lowest (i.e., cheapest) layers, and intelligent integration of multiple layer functions on equipment. These characteristics make software-defined networking paradigms ideally suited for the cloud backbone at the heart of the inter- data center network, given the large and expanding scale of traffic driven by the cloud and the inherently transport-oriented nature of cloud backbone networking needs. In this project, new paradigms based on traffic flows (e.g. OpenFlow) will be developed, given the flow entity is the natural granularity to be transferred, controlled, and managed in networks. An association between traffic flows and transported applications will also be built to adapt the QoS provided by the network to the quality of experience (QoE) perceived by end users.

The successful candidate will be working at the Synchromedia Lab, renowned by world-class projects in cloud computing, such as PanLab I, PanLab II, HPDMNet, GreenStar Network, Green Sustainable Telco Cloud, and Canada Research Chair on Smart Sustainable Eco-Cloud. He/she will receive a yearly stipend from the research funds provided by Ciena, NSERC and MITACS. He/she will also obtain valuable experience through internships at Ciena Research Center at Montreal and Ottawa, the largest R&D centres of the world’s #1 optical network provider.

                 Required qualifications:

  • Strong background in network modeling and optimization
  • Expertise in software-defined networking (e.g., OpenFlow)
  • Excellent programming skills
  • Good communication and writing skills
  • Knowledge of French is not required for this position.

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Ph.D in environmental-aware routing in software-defined infrastructure


The Synchromedia Lab (http://www.synchromedia.ca) at the Ecole de Technologie Superieure (University of Quebec) is seeking for a PhD candidate with a specialty in environmental-aware routing in software-defined infrastructure.

Today, network operators are increasingly managing their pools of network elements and long-haul connections with the help of WAN controllers, like OSCARS, OpenDRAC, Argia, and v-WAN. With an increase in traffic demand and heterogeneity of network architecture, these WAN controllers are facing challenges of interoperation & analytics. Therefore, analytical models adding to such inter-datacenter tools are required to help carriers planning ahead how to deploy their on-demand circuit without excessive over-provisioning.

This PhD project will be dedicated to virtual topology optimization and energy-aware routing. Based on prior work in the GreenStar Network project, the PhD candidate will build an optimization model for a set of nodes and links in network networks, and devise optimal routing schemes for each user request. He/she will then infer contextual relationships between resource requirements and power consumption and proposes heuristic algorithms to dynamically detect patterns which will be used to optimize paths in the virtual network. Software-defined networking technique will be used to implement the proposed solution, both in inter- data network and a living lab environment.

The successful candidate will be working at the Synchromedia Lab, renowned by world-class projects in cloud computing, such as PanLab I, PanLab II, HPDMNet, GreenStar Network, Green Sustainable Telco Cloud, and Canada Research Chair on Smart Sustainable Eco-Cloud. He/she will receive a yearly stipend from the research funds provided by Ciena, NSERC and MITACS. He/she will also obtain valuable experience through internships at Ciena Research Center at Montreal and Ottawa, the largest R&D centres of the world’s #1 optical network provider.

Required qualifications:

-         Strong background in networking, virtual networks, topology

-         Knowledge in network optimization algorithms

-         Expertise in software-defined networking (e.g., OpenFlow)

-         Excellent programming skills

-         Good communication and writing skills

Applications shall include a CV, transcripts, and a cover letter. Selected applicants will be contacted for an interview.

 Contact: knguyen@synchromedia.ca

 

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Ph.D in software-defined networking in smart home


The Synchromedia Lab (http://www.synchromedia.ca) at the Ecole de Technologie Superieure (University of Quebec) is seeking for a PhD candidate with a specialty in software-defined networking in smart home.

Today’s advanced wireless networks are ready to deliver broadband data service at a significantly lower cost than in the past, thanks to extensive standardization. These networks offer many features necessary to enable M2M services in the future embedded Internet. Home networks are also rapidly developing to include a large diversity of devices, including mobile phones, personal computers, laptops, TVs, speakers, lights, and electronic appliances. Enabling M2M on household devices is, however, technically challenging because M2M services have very different specifications. Also, the integration of M2M and existing home access network services, in particular passive optical network, needs to be taken into account.

This PhD project will be investigating software-defined solutions for converging optical and wireless access networks in smart home. The PhD candidate will evaluate of existing architecture, and then design a scalable, robust and reliable software-defined home network. He/she will propose approaches and develop algorithm to virtualize home network, and provide QoS for home services based on bandwidth sharing and optimization, as well as to define a fault-tolerant architecture for virtual home network and virtualize smart home M2M box. The project also involves research on resource discovery, network QoS, resource allocation, and virtual resource grouping and sharing.

 

The successful candidate will be working at the Synchromedia Lab, renowned by world-class projects in cloud computing, such as PanLab, HPDMNet, Canarie’s GreenStar Network, Ericsson’s Green Sustainable Telco Cloud, Ciena’s Smart V-WAN Hypervisor, and Canada Research Chair on Smart Sustainable Eco-Cloud. He/she will receive a yearly stipend from the research funds provided by Ericsson and NSERC. He/she will also obtain valuable experience through internships at Ericsson Research Center at Montreal, the largest R&D centre in North America of the world’s #1 telecommunications provider.

Required qualifications:

  • Strong background (with hands-on experience) in home access network (in particular near field communication), optical access network, virtual network and software-defined networking

  • Knowledge in network design, and optimization algorithms

  • Excellent programming skills

  • Good communication and writing skills

Applications shall include a CV, transcripts, and a cover letter. Selected applicants will be contacted for an interview.

Contact: knguyen@synchromedia.ca

 

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Ph.D in big data processing and management in smart community


The Synchromedia Lab (http://www.synchromedia.ca) at the Ecole de Technologie Superieure (University of Quebec) is seeking for a PhD candidate with a specialty in big data processing and management in smart community.

In a smart home and smart community, networked M2M devices generate various traffic patterns, including periodic, event-driven, generated amounts, and multimedia streaming patterns, depending on their applications, which is a valuable source to make decisions on home automation and smart community management. Big data management aims to improve not only the control of communications network, but also to monitor user and system behaviour all the time and store the data, getting several parameters through different devices to always ensure the well-being and the home control. A cloud based framework for statistical data processing is required based on the parallel processing paradigms. This will be leveraged regarding new sources of information from smart homes, as well as energy data management standards recently defined by IETF.

This PhD project will be dedicated to big data modelling and management for smart services in a networked community. The candidate will investigate and develop data collection methods to perform extensive experiments to gather data on consumption, emissions, and behaviours of actors involved in the smart home and cloud. A platform for big data storage and management will be built, as well as patterns and models characterizing real-time operational status of smart home appliances, cloud resources and users over time. He/She will then propose state-of-the-art algorithms for processing query big databases, analyzing behaviors, and optimizing operations on knowledge bases.

 

The successful candidate will be working at the Synchromedia Lab, renowned by world-class projects in cloud computing, such as PanLab, HPDMNet, Canarie’s GreenStar Network, Ericsson’s Green Sustainable Telco Cloud, Ciena’s Smart V-WAN Hypervisor, and Canada Research Chair on Smart Sustainable Eco-Cloud. He/she will receive a yearly stipend from the research funds provided by Ericsson and NSERC. He/she will also obtain valuable experience through internships at Ericsson Research Center at Montreal, the largest R&D centre in North America of the world’s #1 telecommunications provider.

Required qualifications:

  • Strong background data mining, data storage, big data processing and management

  • Good knowledge in optimization algorithms

  • Excellent programming skills

  • Good communication and writing skills

Applications shall include a CV, transcripts, and a cover letter. Selected applicants will be contacted for an interview.

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Ph.D in Fog-and-cloud service model for IoT


Today, IoT is becoming a global system of connected sensors, actuators, networks, machines and devices. IoT and Cloud integration will enable development of large-scale IoT applications, such as smart cities, energy, health, etc. Moreover, due to requirements such as mobility support, location-awareness and low latency, the cloud has been recently extended to the edge of the network—Fog Computing. Developing large-scale IoT applications using cloud and fog computing resources is challenging because it requires a service abstraction model that matches highly dynamic and heterogeneous resources at different levels of the network hierarchy from IoT devices to fog devices and the cloud. This project is dedicated to to develop knowledge, software service design concepts and mechanisms for scalable and dynamic integration of IoT devices and their services into fog and cloud platforms. It will devise solutions for:

- Modeling, developing, and integrating IoT services in dynamic Fog-Cloud computing systems

- Managing and adapting these services with respect to dynamicity of IoT devices and the dynamic availability of fog resources.

The successful candidate will be working at Synchromedia Lab, renowned by world-class projects in cloud computing, such as PanLab I, PanLab II, HPDMNet, GreenStar Network and Green Telco Cloud. He/she will receive a yearly stipend from the research fund provided by CRC. He/she will also obtain valuable experience through collaborations and internships at our multinational corporation partners.

Required qualifications:

- Expertise in network architecture, programming, and SDN/NFV

- Excellent programming skills

- Experience in optimization methods and/or operational research is an asset

- Good communication and writing skills

Applications shall include a CV, transcripts, and a statement of purpose (about 1,000 words). Selected applicants will be contacted for a screening view.

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