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Cloud Based Managed Network Services: Resource Allocation and Performance Issues

Enterprise, Service Provider (SP), and Cloud Provider networks are increasingly making use of the Network Function Virtualization (NFV) paradigm to reap the benefits of reduced operational and capital expenses. In this scenario, network services are decoupled from the  underlying hardware so they can run as software images, called Virtual Network Functions (VNFs), on Commercial Off The Shelf (COTS) hardware.
Hence, now SPs can offer their networking services as cloud-based managed services reducing the overall costs previously dedicated to expensive hardware appliances, while increasing the level of automation enabled by applying software defined networking. However, total cost of ownership calculations is typically a function of the attainable network throughput, which in a cloud based managed services environment is highly dependent on the available cloud resources and the overall virtualized system architecture. In this presentation we will investigate the problem of allocating softwarized network services/VNFs in a pool of available cloud resources and analyze the characteristics of generic x86 servers that can affect the attainable network throughput when they need to process intensive workloads such as VNFs.


Lectures, Seminars



Goldberg Computer Science Auditorium (room 127)



Additional Information

Speaker Bio:

Aris Leivadeas received his diploma in Electrical and Computer Engineering from the Polytechnic School of the University of Patras in 2008, the MSc degree in Engineering from King’s College London in 2009, and the Ph.D degree in Electrical and Computer Engineering from the National Technical University of Athens in 2015. Dr. Leivadeas is a postdoctoral fellow in the department of Systems and Computer
Engineering at Carleton University and an NSERC Engineering intern at Ericsson Canada Inc. since 2015. He is currently also involved in a NSERC collaboration with Cisco towards the evolution of Cisco’s midrangerouter portfolio specializing on NFV. His research interests include cloud computing, NFV, SDN, wired / wireless virtualization, and network optimization and management.


David Langstroth dll@cs.dal.ca