Live migration of virtual network functions in cloud-based edge networks

Emerging network paradigms, such as Software Defined Networking and Network Function Virtualization, represent the key enablers for efficient and cost-effective deployment and management of cloud-based edge networks, where a number of cooperating virtual machines can implement the tasks traditionall...

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Bibliographic Details
Main Authors: Cerroni, Walter, Callegati, Franco
Format: Conference Proceeding
Language:English
Subjects:
Bit rate
Cloud-based Networking
Equations
Live Migration of Virtual Machines
Memory management
Middleboxes
Network Function Virtualization
Next generation networking
Performance Evaluation
Software Defined Networks
Virtual machining
Virtualization
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Description
Summary:Emerging network paradigms, such as Software Defined Networking and Network Function Virtualization, represent the key enablers for efficient and cost-effective deployment and management of cloud-based edge networks, where a number of cooperating virtual machines can implement the tasks traditionally performed by expensive and disrupting network middleboxes. A key feature in such a scenario is the capability of live migrating a group of correlated virtual machines as a single entity representing a customer's profile. Multiple VM live migration is a topic that has not been thoroughly studied in the literature. This manuscript presents a relatively simple model that can be used to derive some performance indicators, such as the whole service downtime and the total migration time, and allows to properly design the cloud-based edge network. The model is used to compare some simple scheduling strategies for the VM migration and to provide guidelines to such implementation.
ISSN:1550-3607
1938-1883
DOI:10.1109/ICC.2014.6883775