CLOUDSYS: Cloud Systems Lab
CLOUDSys: Cloud Systems Lab
The CLOUDSys Lab aims to conduct transformative research on the Cloud ecosystem, and develop innovative technologies to efficiently solve Big Data and Big Compute problems of today and the next generation.
- Joy Rahman, 2014 - 2019. Joy is joining Esri in Redlands, California.
- Ridwan Rashid Noel, 2014 - 2019. Ridwan is joining Texas Lutheran University as a tenure-track Assistant Professor.
Rohit Mehra, Harshal Moore, Azmeena Bandeali, Sara Alhajam, Euna Jang
Nicolas Hima, Luke Taylor, Ben Sandoval, Gabriella Johnson
Large-scale web services are increasingly being built with many small modular components (microservices), which can be deployed, updated and scaled seamlessly. These microservices are packaged to run in a lightweight isolated execution environment (containers) and deployed on compute resources rented from cloud providers. However, the complex interactions and the contention of shared hardware resources in cloud datacenters pose significant challenges in managing web service performance. This project will develop novel performance models and resource management solutions that can enable cloud platforms to provide robust performance guarantee for large-scale web services.
Detection and Visualization of DDoS Attacks on Software‐Defined Networks (Sponser: UTSA & ITESM Seed Funding Program, Role: Co-PI, Total Award: $80,000, Period: 09/2019 – 08/2020)
This project investigates the vulnerabilities of network communication protocols and resource bottlenecks of software-defined network architecture, which are exploited by
DDoS attacks. These results will be helpful in designing new techniques to detect DDoS attacks accurately using machine learning (ML), algorithmic, and statistical methods.
VENOM-Aided Adaptive Denial of Service Attacks on Sofware Defined Networks (Sponser: National Security Agency, Role: Co-PI, Total Award: $215,142, Period: 09/2018 – 08/2019)
This project investigates the vulnerabilities of software-defined networks architecture, and focuses on designing new DDoS attacks (cyber offence) which can automatically adapt itself to overcome existing cyber defense mechanisms.
CREST Center for Security and Privacy Enhanced Cloud Computing (C-SPECC) (Sponsor: NSF, Role: Senior Personnel, Total Award: $5 million, Period: 9/2017 - 8/2022)
The Centers of Research Excellence in Science and Technology (CREST) program supports the enhancement of research capabilities of minority-serving institutions through the establishment of centers that effectively integrate education and research. The Center articulates three research thrusts: Protection, Detection and Policy. The Protection sub-project will develop access control, private computing and protected computing technologies for cloud computing. The Detection sub-project will focus on system and host monitoring techniques to detect anomalous activity in a cloud along with digital forensic techniques for cloud-based systems. The Policy sub-project will research policy specification, composition and verification techniques for secure cloud computing.
Analysis and Training for the Defense of Biological and Digital Threats (Sponsor: Department of Homeland Security, Role: Co-PI, Total Award: $400,000, Period: 9/2014 - 8/2020)
The project focuses on enabling and improving cloud based informatics capabilities that are needed to support both biological and digital threat assessment activities. It involves introducing undergraduate DHS scholars/students to cross-disciplinary teaching and research on biological and digital pathogens, informatics techniques and procedures useful for pathogenic outbreak investigations.
Collaborative Research: Chameleon: A Large-Scale, Reconfigurable Experimental Environment for Cloud Research (Sponsor: NSF, Role: Key Personnel. 10/2014 - 09/2017)
This project focuses on building a large-scale platform to the open research community allowing them to explore transformative concepts in programmable cloud services, design, and core technologies.
Locality-Aware Fair Scheduling of ZeroVM in Multi-tenant Cloud (Sponsor: RackSpace, Role: Student Advisor. 08/2014 - 08/2017)
This project focuses on advancing an open source hypervisor technology, ZeroVM, to accelerate big data processing in the Cloud.