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Research Spending & Results

Award Detail

Doing Business As Name:University of Arizona
  • Salim Hariri
  • (520) 621-4378
  • Ali Akoglu
Award Date:01/15/2008
Estimated Total Award Amount: $ 224,000
Funds Obligated to Date: $ 428,000
  • FY 2013=$8,000
  • FY 2011=$72,000
  • FY 2012=$72,000
  • FY 2010=$64,000
  • FY 2008=$162,000
  • FY 2009=$50,000
Start Date:01/15/2008
End Date:12/31/2015
Transaction Type:Grant
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.041
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:Center for Cloud and Autonomic Computing
Federal Award ID Number:0758579
DUNS ID:806345617
Parent DUNS ID:072459266
Program:IUCRC-Indust-Univ Coop Res Ctr
Program Officer:
  • Thyagarajan Nandagopal
  • (703) 292-4550

Awardee Location

Street:888 N Euclid Ave
Awardee Cong. District:03

Primary Place of Performance

Organization Name:University of Arizona
Street:888 N Euclid Ave
Cong. District:03

Abstract at Time of Award

This award establishes the Industry/University Cooperative Research Center (I/UCRC) for Autonomic Computing at the University of Florida, University of Arizona and Rutgers University. The I/UCRC will focus on multi university research on improving the design and engineering systems that are capable of funning themselves, adapting their resources and operations to current workloads and anticipating the needs of their users. The center will work on improving hardware, networks and storage, middleware, service and information layers used by modern industry. The research performed at this center is important for U.S. industry to help maintain its lead in the information technology field. This I/UCRC will have a broad impact on the participating students and faculty through involvement with the industrial members. This center has the potential to develop new knowledge in this area that will increase US industrial competitiveness.

Publications Produced as a Result of this Research

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J.H. Pacheco Ramirez, B. Al Baalbaki, C. Tunc, S. Hariri, Y. Al-Nashif "Anomaly Behavior Analysis System for ZigBee in Smart Buildings" 12th ACS/IEEE International Conference on Computer Systems and Applications AICCSA 2015, v., 2015, p..

Cihan Tunc and Salim Hariri "CLaaS: Cybersecurity Lab as a Service" Journal of Internet Services and Information Security (JISIS),, v.Volume, 2015, p.40.

Hisham Kholidy, Fabrizio Baiardi and Salim Hariri "DDSGA: A Data-Driven Semi-Global Alignment Approach for Detecting Masquerade Attacks" EEE Transactions on Dependable and Secure Computing, v.volume, 2015, p.164. doi:issn 

B. Khargharia, S. Hariri, and M. S. Yousif "Autonomic power and performance management for computing systems" Cluster Computing, v., 2008, p.167.

E. K. Lee I. S. Kulkarni D. Pompili M. Parashar "Proactive Thermal Management in Green Datacenters" Journal of Supercomputing (Springer), v.60, 2012, p.165.

Pratik Satam, Hamid Alipour, Youssif Al-Nashif, and Salim Hariri "Anomaly Behavior Analysis of DNS Protocol" Journal of Internet Services and Information Security (JISIS, v.Volume, 2015, p..

[1] Pierre St. Juste, David Wolinsky, P. Oscar Boykin, Michael J. Covington, Renato J. Figueiredo "SocialVPN: Enabling Wide-Area Collaboration with Integrated Social and Overlay Networks" Computer Networks, v.54, 2010, p.1926-1938.

Glynis Dsouza, Gabriel Rodriguez, Youssif Al Nashif, and Salim Hariri "Building Resilient Cloud Services using DDDAS and Moving Target Defense" International Journal of Cloud Computing, v., 2013, p.. doi:DOI:10.1504/IJCC.2013.055266 

Hamid Alipour, Y. Al-Nashif, Pratik Satam, and S. Hariri "Wireless Anomaly Detection Based on IEEE 802.11 Behavior Analysis" IEEE Transactions on Information Forensics and Security, v.Volume, 2015, p.2158. doi:ISSN:1556-6013. 

Dan Chen, Lize Wang, Albert Y. Zomaya, Ming Gang Dou, Jingying Chen, Ze Deng, and Salim Hariri "Paralell Simulation of Complex Evacuation Scenarios with Adaptive Agent Models" IEEE Transactions on Parallel and distributed Systems, v.Volume, 2015, p.847.

Khargharia, B., S. Hariri and M. Yousif "An Adaptive Interleaving Technique for Memory Performance-per-Watt Maximization" IEEE Transactions on Parallel and Distributed Systems, v.20, 2009, p.1011. doi:10.1109/TPDS.2008.136 

Y. Luo, F. Szidarovszky, Y. Al-Nashif, and S. Hariri, "A Game Theory Network Security" Journal of Information Security,, 2010, p.41-44.

E. K. Lee, I. S. Kulkarni, D. Pompili, and M. Parashar "Proactive Thermal Management in Green Datacenters" Journal of Supercomputing, v., 2010, p..

G. Dsouza G. Rodriguez Y. Al-Nashif S. Hariri "Building Resilient Cloud Services using DDDAS and Moving Target Defence" International Journal of Cloud Computing, v., 2013, p..

Project Outcomes Report


This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The I/UCRC Center for Cloud and Autonomic Computing (CAC) developed a comprehensive research and education program, in close collaboration with industry and government members, to address issues of design, use and management of cloud computing, IT systems and IT application complexity through autonomic approaches. Autonomic computing approaches enable systems and applications to manage themselves, making them more reliable, more secure, and more efficient. The center conducted scientific and engineering research and development on methods, architectures and technologies for the design, implementation, integration and evaluation of special- and general-purpose computing systems, components and applications that are provisioned by IT clouds and/or are capable of autonomously achieving desired behaviors. The center sites, distributed across four institutions (University of Florida, University of Arizona, Rutgers University, and Mississippi State University), also educated students in the interdisciplinary fields of cloud and autonomic computing. Specifically, the center addressed research in the domains of cybersecurity, management of virtualized systems (virtual machines, virtual storage, and virtual networks), energy conumption in data centers, and high-performance distributed computing applications. Outcomes of the research activities included papers in journals and conferences, technology transfer to inudstry, and open-source software. Highlited outcomes of center projects include the following. A startup company, AVIRTEK, was founded to transition the University of Arizona autonomic management and cybersecurity solutions to the marketplace, and cybersecurity technologies developed at the UA CAC site have transitions to this company. The company has started deploying commercially network appliances with automated and integrated management for small and medium size networks. Power conumption is an increasingly significant percentage of the cost of operating large data centers, which are used by banks, investment firms, IT service providers and other large enterprises. A project at the University of Florida researched virtualization-based autonomic computing approaches to monitor, model and predict workloads associated with individual servers; model and predict global resource demand; dynmically allocate and de-allocate virtual machines to physical machines; device methods based on control theory and/or market-based approaches to use the above-described  mechanisms to minimize the cost of providing individual services while globally minimizing power consumption and delivering contracted service levels. Research also considered self-organizing virtual networks and efforts to connect personal devices of a user and acrosss their social network, leading to development of an open-source infrastructure that allows users to create Virtual Private Networks (VPNs) connecting resources from different sites securely, without the cost and complexity associated with setup and management of typical approaches.

Contributions of this infrastructure include techniques associated with self-configuraiton of virtual networks ofr the the simple deploymeht of collaborative environments.  The research projects at the Rutgers University site have demonstrated how autonomic computing can effectively optimize various aspects of computing systems and applications, including efficiency, performance, adherence to Service Levels Agreements (SLAs), fault tolerance and cost-effectiveness. Also, Rutgers explored ways to take actions to reduce energy consumption at the server side in a large machine room before performing costly migrations of virtual machines (VMs). Specifically, Rutgers focussed on exploiting VM-based configurations which are complementary to other techniques at the physical server layer, such as low-power modes. Results obtained from an experimental evaluation on ...

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