- GatorCloud (NSF): SDN-enabled Campus Cloud
The GatorCloud cyberinfrastructure is designed to dramatically boost the Campus Research Network (CRN) to over 100Gb/s backbone networks connecting multiple primary sites of data centers across the campus. It aims at enabling HPC-as-a-Service (HPCaaS), Network-as-a-Service (NaaS), and Cloud-as-a-Service (CaaS). My research focuses on enhancing CRN with the cutting-edge software-defined networking (SDN) capabilities, e.g., SDN based flow scheduling and workload balancing.
- GemsCloud (GENI, NSF): A GENI-Federated Cyber-Physical System with Multi-Modalities
GemsCloud is a Cyber-Physical System that integrates multi-modality resources (sensors, robots, fitPCs, and Linux machines) into the NSF funded GENI project.
- URL: http://okgems.ece.ufl.edu
- Responsibility: Integrate wireless sensor networks and robots to GENI; Build up our TinyHive virtual machine based network platform
- Results: GemsCloud system has been implemented and functional. System details are summarized in technical report and papers.
- MagicLink (NSF): a middleware for seamlessly weaving multi-site sensor networks
Large-scale sensor network testbeds are rarely available for researchers to test and validate their design. We address this problem by utilizing heterogeneous sensor resources at multiple geographically distributed sites, and seamlessly weaving them together by virtualizing the radio links among them.
- URL:http://okgems.ece.ufl.edu
- Responsibility: System design and implementation, virtual link modeling
- Results: The MagicLink system has been implemented and validated. Findings are summarized both in technical report and papers.
- PAAS (NSF): A User-Centric Private Matching System
PAAS is a private matching system where users can authenticate and compare with each other based on certain attributes, without knowing the exact values of these attributes. To achieve this goal, the zero-knowledge proof techniques are used. PAAS is implemented on Android platform.
- PAGrid (NSF): Precision Agriculture Sensor Grid System
By leveraging emerging technologies: sensor networks, grid computing, autonomic computing, and mobile robots, this project targets at exploiting the spatial and temporal variability of soil and crop growth factors, in order to improve agriculture management strategies.
- URL: http://www.s3lab.ece.ufl.edu/projects/ASGrid/PAGrid.html
- Responsibility: Sensor network algorithm design, implementation, and team leader
- Results: Energy efficient data collections algorithms; correlated data reporting strategy for prolonged network lifetime; automatic data sensing program implementation.