[PDF] Bandwidth Estimation for Virtual Networks

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Bandwidth Estimation for Virtual Networks

 

Abstract:

Cloud computing is transforming a large part of the IT industry, as evidenced by the increasing popularity of public cloud computing services, such as Amazon Web Service, Google Cloud Platform, Microsoft Windows Azure, and Rackspace Public Cloud. Many cloud computing applications are bandwidth-intensive, and thus the network bandwidth information of clouds is important for their users to manage and troubleshoot the application performance.

The current bandwidth estimation methods originally developed for the traditional Internet, however, face great challenges in clouds due to virtualization that is the main enabling technique of cloud computing. First, virtual machine scheduling, which is an important component of computer virtualization for processor sharing, interferes with packet timestamping and thus corrupts the network bandwidth information carried by the packet timestamps. Second, rate limiting, which is a basic building block of network virtualization for bandwidth sharing, shapes the network packets and thus complicates the bandwidth analysis of the packets.

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