Changes between Initial Version and Version 1 of ProjTemp-1Q10-status


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Timestamp:
04/16/10 23:24:16 (11 years ago)
Author:
Don Kline
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  • ProjTemp-1Q10-status

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     1= VMI-FED Project Status Report =
     2
     3Period: January 1 – March 31, 2010 (Q1 2010)
     4
     5'''Overview'''
     6
     7This QSR documents the progress by the University of Alaska Fairbanks (UAF) for Project Number 1773, Virtual Machine Introspection (VMI) and Development of a Model Federation Framework (MFF) for GENI, a.k.a. VMI-FED. 
     8
     9UAF successfully demonstrated VMI functionality at the seventh GENI Engineering Conference (GEC7), and is expanding VMI’s role in instrumentation and measurement by studying VMI functionality on virtual machine node clusters.  We recently began examining ORCA-BEN (Cluster D) as a suitable candidate to port our VMI tools into because of its Xen-based control structure.  Furthermore, we are studying PlanetLab’s (Cluster B) myPLC control framework on an isolated network to configure the VMI library for VServer implementations.
     10
     11In addition, we are continuing our resource analysis of the network ecosystem of the University of Alaska, a sample of which was posted February 1, 2010.  Once complete, we will create a classification system that encompasses the myriad of resource types that exist across the state of Alaska.  Furthermore, we are expanding our contact list to include more
     12
     13== I. Major accomplishments ==
     14
     15=== A. Milestones achieved ===
     16
     17We installed myPLC from Planet Lab Central and a node cluster onto our server in order to study Virtual Machine Introspection (VMI) on Virtual Server (VServer), .
     18
     19We created a website at http://assert.uaf.edu/geni/ to allow for us to increase awareness of our project, and allow for a more organized and flexible way of distributing information about our project.
     20
     21Four members of the team attended GEC7. A demonstration of VMI working was performed, posters were displayed and a handout was distributed to further spread knowledge of our project.
     22
     23=== B. Deliverables made ===
     24
     25Milestone VMI-FED: S2.b ASSERT doc Completed: (02/01/10) Finalized and posted ASSERT Virtualization Resource Analysis Document for review by GENI researchers and personnel.
     26
     27== II. Description of work performed during last quarter ==
     28
     29=== A. Activities and findings ===
     30
     31We are continuing our resource analysis of the network ecosystem of the University of Alaska. Once complete, we will create a classification system that encompasses the myriad of resource types that exist across the state of Alaska. The first component we plan to federate into GENI from UAF is the Advanced System Security Education, Research and Training (ASSERT) lab. To this end, we created a resource analysis of this lab and posted it for the GENI community to review and provide feedback. Furthermore, we are continually cultivating our university contact list, identifying available resources, and determining how GENI federation can form mutually beneficial community partnerships. Specifically, our contacts have supplied information about the network connections across the UA network and many resources across UAF, which is one of three main campuses that comprise UA.
     32
     33In addition, we have made some progress in VMI. We recently began examining ORCA-BEN (Cluster D) as a candidate to port our VMI tools into, since VMI and ORCA are Xen-based. Furthermore, we are studying myPLC from PlanetLab (Cluster D) in order to port VMI to VServer-based infrastructures. VServer is efficient and scalable for virtual machine creation, and we intend to retool our VMI library to facilitate further study.
     34
     35=== B. Project participants ===
     36
     37MFF Principal Investigator [[BR]]
     38Dr. Kara Nance klnance@alaska.edu
     39
     40MFF Principal Investigator[[BR]]
     41Dr. Jon Genetti jdgenetti@alaska.edu
     42
     43VMI Principal Investigator[[BR]]
     44Dr. Brian Hay brian.hay@alaska.edu
     45
     46MFF Research Assistant Lead[[BR]]
     47Donald Kline dpkline@alaska.edu
     48
     49VMI Research Assistant Lead[[BR]]
     50John Quan jquan2@alaska.edu
     51
     52VMI Research Assistant[[BR]]
     53Greg Klupar gjklupar@alaska.edu
     54
     55=== C. Publications (individual and organizational) ===
     56
     57Nance, K., H. Armstrong, and C. Armstrong.  Developing a Research Agenda to Improve Digital Forensics Education.  Digital Forensics Minitrack of 43rd Hawaii International Conference on Systems Sciences.  January 2010. 
     58
     59Hay, B., and Hecker, C. Securing E-Government Assets Through Automating Deployment of Honeynets for IDS Support. Information Security Minitrack of 43rd Hawaii International Conference on Systems Sciences.  January 2010.
     60
     61Hay, B. Applications of Virtualization to Digital Forensics Education. Digital Forensics Minitrack of 43rd Hawaii International Conference on Systems Sciences.  January 2010. 
     62
     63=== D. Outreach activities ===
     64
     65Dr. Kara Nance chaired the Digital Forensics Minitrack at the Hawaii International Conference on Systems Sciences where GENI was discussed as a component of the digital forensics research agenda.
     66
     67Dr. Brian Hay chaired the Virtualization Minitrack at the Hawaii International Conference on Systems Sciences where virtual machine introspection was discussed, as was VIX, a component of GENI.
     68
     69Repeated attempts to further the research collaborations discussed at the US-Japan Workshop on Future Networks went unanswered by the potential collaborators.
     70
     71Dr. Kara Nance gave two invited presentations on the current state of cybersecurity from a national perspective which included discussions of the GENI Project as well as discussions of virtual machine introspection and emerging cybersecurity threats.  Her participation was at the invitation of the Office of the Director of National Intelligence.
     72
     73February 10-11, 2010
     74East West Center
     75Office of the Director of National Intelligence Regional Colloquium
     76University of Hawaii, Manoa
     77Honolulu, HI
     78
     79February 24, 2010
     80Georgia Tech
     81Office of the Director of National Intelligence Regional Colloquium
     82Georgia Institute of Technology
     83Atlanta, GA
     84
     85=== E. Collaborations ===
     86
     87We are studying SeattleGENI (MillionNodeGENI), by the University of Washington, as one way to motivate users to federate resources into GENI. By donating resources to SeattleGENI, contributors are able to perform their own experiments on shared resources. Universities also may find SeattleGENI appealing because of its tested use as part of a course curriculum in multiple universities across the United States and Europe. We performed impact tests with this software and discovered that the software's host resource use is almost unnoticeable with the default settings, even in the performance logs. We are currently brainstorming a list of security tests to perform on this software to demonstrate this product's stability.
     88
     89=== F. Other Contributions ===
     90
     91=== G. Goals ===
     92
     93The primary short-term goal for VMI research is to load the ORCA control framework onto the ASSERT lab and study the node clusters with VMI. This is directly related to our next milestone, which is a demonstration of initial VMI library on cluster nodes at UA (Due: 5/01/2010). Once complete, our second short-term goal is to integrate VServer functionality into VMI.
     94
     95On the federation side, our goals are to further investigate UA resources , especially focusing on University of Anchorage, Juneau, and the rural campuses. This will facilitate the 7/15/2010 deliverable, which is to finalize the initial UA resource analysis summary document. In addition, we will create a survey to distribute to the GENI community and other groups of users who will potentially use the Model Federation Framework (MFF) to federate resources into GENI. This will allow us to make a MFF that better suits the end-user's needs.