Exposing Inter-Virtual Machine Networking Traffic to External Applications

Abstract

Virtualization has become a powerful and fast growing technology. The Department of Defense is focused on taking advantage of virtualized hardware, software, and networks. Virtual environments create administrative and security challenges in having visibility of inter-virtual machine (VM) traffic. This thesis attempts to gain visibility and evaluate performance of inter-VM traffic. Separate virtual networks using VMWare ESXi and Citrix XenServer that comprise of three virtual host containing a computing domain of eight VMs. Configuration of all components are identical on each network for a consistent comparison. Transport-layer traffixE;c is generated to test each network using batch xC;files, Powershell scripts, and Python scripts. The results show standard virtual networks require additional resources and more hands-on administration for real-time traxE;ffic visibility than a distributed switch. TraffixE;c visibility within a standard network is limited to using programs such as pktcap-uw, windump, or tcpdump. However, distributed networks offer advanced options, such as port mirroring, that deliver higher visibility but come at a higher latency cost.

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Document Details

Document Type
Technical Report
Publication Date
Mar 24, 2016
Accession Number
AD1053782

Entities

People

  • Charles E Byrd

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Application Software
  • Central Processing Units
  • Computer Networks
  • Computer Programming
  • Computer Programs
  • Computers
  • Computing System Architectures
  • Department Of Defense
  • Graphical User Interface
  • Information Systems
  • Intrusion Detection
  • Intrusion Detectors
  • Kernels (Operating System)
  • Local Area Networks
  • Network Protocols
  • Operating Systems
  • Transport Protocols
  • United States
  • Virtual Machines
  • Vulnerability

Fields of Study

  • Computer science

Readers

  • Cybersecurity.
  • Distributed Systems and Data Platform Development