ࡱ> nqm[ w$bjbj 8Rΐΐm   cc,Nt{{{{{bbboNqNqNqNqNqNqN@PR"qNb^bbbqNcc{{NbLc{{oNboNHQ^oL{`čDXI,[NN0NITTXoLoLTLbbbbbbbqNqNbbbNbbbbTbbbbbbbbb  ): Langston University Quarterly Report Use Case Scenarios for promoting GENI at four-year Colleges Pierre F.Tiako, PI pftiako@lunet.edu Langston University in Oklahoma March 2010 I) Accomplishments The following highlights some of our accomplishments. Milestones achieved The focus of this quarter has been to progress on the research area candidate for our GENI Experiment and to involve undergraduate students. We completed the survey on promoting GENI at four-year colleges. We also identified a potential candidate from 4-year colleges and universities that can use different components of GENI to further their research. 1.2 Deliverable/Presentation made Oral presentation at 7th GENI Engineering Conference, March 16 18, 2010 at Duke University, Durham, NC. II) Description of work performed during last quarter The following provides a more detailed description of our work and results from the last quarter. 2.1 Activities The focus of this quarter has been to finalize a survey on what kinds of researches are being conducted at four year non-research colleges and how they are related to GENI. Activities carried out include the following: Survey of researches being performed at some four-year non-research universities, including minorities and other universities and colleges. Identify key concepts and services supported by the current GENI specifications. Based on each research description and the GENI key concepts identified, we selected those researches from 4-year universities that could be of interest for future experimentation with GENI. The research methods used include the following: a) The first step was gathering information from websites on all kinds of researches being conducted at random 4-year universities. b) After surveying the non-research universities, we grouped the universities by their ethnicity nature. The survey has involved the following kinds of universities or colleges: 39 HBCUs 10 HISs 1 TCU 52 other universities This results to a total of: 102 different non-research universities 106 total researches when all ethnicities combined c) The next step was to merge all the universities by their research being performed by comparing the description of the research. d) While comparing the research we were able to discover that many of the researches fell into certain fields of similar studies. e) This allowed us to merge the similar individual fields of study to come up with seven main research groups that contained the similar researches as the subgroups. f) After reviewing the new research groups, we were able to rank the groups by the top researches being performed at these universities down to the least popular researches The following ranking results are: Behavior and Health Research-Group contained 23 of the 106 researches Environmental Research-19 of 106 Engineering & Science Research- 18 of 106 Information Technology Research-15 of 106 Chemistry & Biology Research-14 of 106 Math & Physics Research-9 of 106 Informative & Miscellaneous Research-8 of 106 g) We then added the following eight additional columns, which are concepts supported by GENI infrastructure. Large Scale Network- research infrastructure that will allow researchers to breakout of todays Internet circumscribed research environment. Virtualization and Resource Sharing- Multiple researchers can work simultaneously or over time in the infrastructure. Slice ability- A slice is a substrate-wide network of computing and communication resources capable of running an experiment or a wide-area network services. Experiment Lifecycle- Services and tools required to support experiment life cycle are provides. This includes services and tools for experiment registration, planning, deployment, and execution. Leasing Resources- Having privileges on experiments created, including the ability to add researches to the experiment; control the privileges they have, and start and stop the experiment. Experiment Specification Language- Language for describing experiments. Existing experiments are stored in the system repository. They can be browsed, retrieved, modified and reused later by other users. Resource and tool Discovery- A researcher can be granted access to a test bed to conduct an experiment. Wireless Emulation- An experiment to simulate nodes mobility and to emulate a wireless cellular network over the wired links. h) Based on each research description, these new columns were answered with a YES, NO, or N/A depending if that research line was appropriate with the concept introduced or if the research supported the concept. 2.2 Findings After comparing each research group with the GENI concepts. We were able to narrow down on the groups that were more appropriate with the concepts. Although certain groups answered Yes, not every research contained in the groups supported the concepts. So we broke those selected groups down and applied the concepts to each research contained in that group to discover which specific researches are appropriate with the concepts. The top three researches selected were the following: Bowie State University (BSU) Computer Science: Develop a supercomputer and a NASA satellite operations control center. Tuskegee University (TU) Business and Information Science: Improve in the areas of high performance computing, network performance, software engineering, web applications, and information security. Langston University (LU) Software Engineering: Team-Based Distributed Software Development. Based on the information on the table below, the distributed software engineering research supports the GENI concepts the best. CONCEPTS SUPPORTED BY GENIBSUTULULarge Scale NetworkYesYesYesVirtualization and Resource SharingYesYesYesSlice abilityYesYesYesExperiment LifecycleYesYesYesLeasing ResourcesYesYesYesExperiment Specification LanguageYesYesYesResource and tool Discovery YesN/AYesWireless EmulationN/AYesYes 2.3 Future Work Explore current GENI prototypes presented at GEC7 and select one of interest for our project. Develop a use-case scenario on Distributed Team-Based Software Development and conduct an experiment on the prototype infrastructure suite using the selected GENI prototype. Write a white paper describing the experiment, with an emphasis to how the prototype and GENI helped improve the current software development infrastructure. 2.4 Project participants The following individuals have helped with the project in one way or another during the last quarter: Investigators/Mentors Pierre Tiako, Project PI Rosa Hedge Undergraduate and minority students Paoli Wognakou Jamal Williams 2.5 Publications None yet. 2.6 Outreach activities None yet. 2.7 Collaborations We are still continuing discussions with OneNet about ways to combine our two efforts on this GENI projects. 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