North America Research Interest Group

Red Hat associates from locations across North America collaborate with primarily North American-based researchers on many research projects. In addition to long-standing formal arrangements with Boston University, the Mass Open Cloud Alliance, and the University of Massachusetts, we support student and faculty research and open source development work for undergraduates, Master’s, and PhD students. We also teach classes, mentor students, deliver technology workshops, and support outreach programs that improve diversity in computer science and engineering.

If you are a student interested in a project opportunity, please contact us.  If you are a Red Hatter interested in submitting a project, please copy this template and email your idea to Heidi Dempsey, Research and Innovation Director, North America.  

The North America RIG typically meets the first Tuesday of each month from 3-4 PM EST.  Details on the upcoming meeting and prior meetings are included below.  And mark your calendar for future planned meetings through 2022.

  • December 5

 Catch recordings of meetings on the North America Research Interest Group YouTube Channel.

Access meeting notes here.

 

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University of Massachusetts, Lowell

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Related Projects

TitleSummaryResearch AreaUniversitieshf:tax:research_area
Open-Source Toolchain Optimization for FPGA CADAdditional details to be added soon! Project Poster Link to full size project posterhardware-and-the-os
Characterizing Microservice ArchitecturesMicroservice architectures are the default method for building distributed applications in industry. Though the basic tenants of this architectural style …, , cloud-ds testing-and-ops
Understanding accuracy decay in online image retrieval systems within the context of open-set classification and unsupervised clusteringImage retrieval systems are extremely useful to political scientists and human rights advocates attempting to understand the scope and spread of disinformation in massive datasets. However, in standard image retrieval tasks the corpus of images is unchanging as time moves forward. When considering online disinformation this is clearly not the case. Image retrieval in an online system can essentially be modeled as an open-set problem, where there is no guarantee that the classes of images seen before will have any correspondence to the classes of images seen at present or in the future., ai-ml cloud-ds
Automated detection of memory safety vulnerabilities in RustIn comparison to C, the Rust language provides significant memory safety guarantees through its concept of lifetimes and its borrow-checker. …testing-and-ops
Tuning the Linux kernelThe Linux kernel is a complicated piece of software with multiple components interacting with each other in complex ways. The …, ai-ml hardware-and-the-os
Disinformation Detection at ScaleThe increased prevalence of fake and manipulated visual media on the Internet has led to social and technical dilemmas in …, , ai-ml security-privacy-cryptography
AI for Cloud OpsThis project aims to address this gap in effective cloud management and operations with a concerted, systematic approach to building and integrating AI-driven software analytics into production systems. We aim to provide a rich selection of heavily-automated “ops” functionality as well as intuitive, easily-accessible analytics to users, developers, and administrators, , ai-ml cloud-ds hardware-and-the-os
Creating a global open research platform to better understand social sustainability using data from a real-life smart villageIn this project, a team of BU faculty will team up with Red Hat researchers and with SmartaByar, an organization …, , ai-ml cloud-ds security-privacy-cryptography
DISL: A Dynamic Infrastructure Services Layer for Reconfigurable HardwareBU faculty member Martin Herbordt will work with Red Hat researchers Uli Drepper and Ahmed Sanaullah to create a generic …, cloud-ds hardware-and-the-os
Practical Programming of FPGAs with Open Source ToolsThis project has evolved from the Practical programming of FPGAs in the data center and on the edge project. Please see …, cloud-ds hardware-and-the-os
Near-Data Data TransformationBU faculty members Manos Athanassoulis and Renato Mancuso will work with Red Hat researchers Uli Drepper and Ahmed Sanaullah to create a hardware-software co-design paradigm for data systems that implements near-memory processing., cloud-ds hardware-and-the-os
Towards high performance and energy efficiency in open-source stream processing.BU faculty members Vasiliki Kalavari and Jonathan Appavoo will work with Red Hat researcher Sanjay Arora to create an open-source …hardware-and-the-os
OSMOSIS: Open-Source Multi-Organizational Collaborative Training for Societal-Scale AI SystemsThe goal of our project is to develop a novel framework and cloud-based implementation for facilitating collaboration among highly heterogeneous research, development, and educational settings., ai-ml cloud-ds
Privacy-Preserving Cloud Computing using Homomorphic EncryptionIn today’s data-driven world, a large amount of data is collected by billions of devices (cell phones, autonomous cars, handheld …, , cloud-ds hardware-and-the-os security-privacy-cryptography
Serverless Streaming Graph AnalyticsIn this project, we will focus on graph streams that can be used to model distributed systems, where workers are represented as nodes connected with edges that denote communication or dependencies., cloud-ds testing-and-ops
Enabling Intelligent In-Network Computing for Cloud SystemsWith the network infrastructure becoming highly programmable, it is time to rethink the role of networks in the cloud computing …, cloud-ds testing-and-ops
Linux Computational CachingIn this speculative work we are attempting to explore a biologically motivated conjecture on how memory of past computing can be stored and recalled to automatically improve a system’s behavior., , ai-ml cloud-ds hardware-and-the-os
Foundations in Open Source EducationIn this project we are developing an exemplar set of materials for an introductory computers systems class that exploits, Jupyter, Jupyter Books, OpenShift and the the Mass Open Cloud to develop and deliver a unique educational experience for learning about how computer systems work.cloud-ds
Symbiotes: A New step in Linux’s EvolutionThis work explores how a new kind of software entity, a symbiotie, might bridge this gap. By adding the ability for application software to shed the boundary that separates it from the OS kernel it is free to integrate, modify and evolve in to a hybrid that is both application and OS., hardware-and-the-os security-privacy-cryptography
Intelligent Data Synchronization for Hybrid CloudsThe goal of this project is to design configurable synchronization solutions on a common platform for a wide range of edge computing scenarios relevant to Red Hat. These solutions will be thoroughly validated on a state-of-the-art testbed capable of emulating realistic environments (e.g., smart cities)., , ai-ml cloud-ds testing-and-ops
Secure cross-site analytics on OpenShift logsThe project aims to explore whether cryptographically secure Multi-Party Computation, or MPC for short, can be used to perform secure cross-site analytics on OpenShift logs with minimum client participation., , cloud-ds security-privacy-cryptography testing-and-ops
Robust Data Systems TuningBU faculty members Manos Athanassoulis and Evimaria Terzi will work on building a new robust tuning framework for LSM-based data …, ai-ml hardware-and-the-os
Robust LSM-Trees Under Workload UncertaintyWe introduce a new robust tuning paradigm to aid in the design of data systems with uncertain assumptions by modeling the behavior of the system and then utilizing these models in conjunction with techniques in robust optimization. Our approach is demonstrated through tuning a popular log-structured merge-tree based storage engine, RocksDBhardware-and-the-os
Does efficient, private, agnostic learning imply efficient, agnostic online learning?Users of online services today must trust platforms with their personal data. Platforms can choose to enable privacy by default …
Are Adversarial Attacks a Viable Solution to Individual Privacy?Users of online services today must trust platforms with their personal data. Platforms can choose to enable privacy by default …security-privacy-cryptography
Workflow-Centric Tracing for Cloud ApplicationsWorkflow-centric tracing allows traces (i.e., graphs) of requests’ workflows to be constructed by stitching together trace points with the same request context. Three collaboratory projects focus on improving the observability and diagnosability of Red Hat products using this technique., cloud-ds
Hybrid Cloud CachingA fundamental goal of the Hybrid Cloud Cache project is to allow simplified integration into existing data lakes, to enable caching to be transparently introduced into hybrid cloud computation, to support efficient caching of objects widely shared across clusters deployed by different organizations, and to avoid the complexity of managing a separate caching service on top of the data lake,
Volume Storage Over Object StorageThis project creates a hybrid storage system composed of a high-speed local device (e.g. Optane) to store short term data, along with a write-once object store (e.g, Ceph RGW) to store data blocks permanently., cloud-ds
Kariz Cache Prefetching and ManagementKariz is a caching system that works closely with analytic frameworks scheduler to find the best caching policy for the current running application., cloud-ds
Elastic Secure InfrastructureThis project encompasses work in several areas to design, build and evaluate secure bare-metal elastic infrastructure for data centers., , cloud-ds security-privacy-cryptography testing-and-ops
Open Cloud TestbedThe Open Cloud Testbed project will build and support a testbed for research and experimentation into new cloud platforms – the underlying software which provides cloud services to applications. Testbeds such as OCT are critical for enabling research into new cloud technologies – research that requires experiments which potentially change the operation of the cloud itself., , , , , , ai-ml cloud-ds hardware-and-the-os security-privacy-cryptography testing-and-ops
Ceph StorageThis research project is investigating how Ceph compression and erasure coded pools could optimize Prometheus tsdb storage.cloud-ds
Implementing Secure Multi-Party ComputingSecure Multiparty Computation (MPC) is a cryptographic primitive that allows several parties to jointly and privately compute desired functions over secret data. Building and deploying practical MPC applications faces several obstacles, including performance overhead, complicated deployment and setup procedures, and adoption of MPC protocols into modern software stacks. MPC applications expose trade-offs between efficiency and privacy that may be hard to reason about, formally characterize, and encode in a protocol design or implementation., cloud-ds security-privacy-cryptography
Outfitting QEMU/KVM with Partitioning Hypervisor FunctionalityThis project extends the virtualization capabilities of QEMU and KVM by adding partitioning hypervisor functionality. With this implementation, hardware resources can be exclusively assigned to specific tasks and VMs. Current work supports KVM Isolation IOCTLs to query CPUs to find isolated CPUs.hardware-and-the-os
An Optimizing Operating System: Accelerating Execution With SpeculationTo optimize performance, Automatically Scalable Computation (ASC), a Harvard/BU collaboration attempts to auto-parallelize single threaded workloads, reducing any new effort required from programmers to achieve wall clock speedup. SEUSS takes a different approach by splicing a custom operating system into the backend of a high throughput distributed serverless platform, Apache OpenWhisk. SEUSS uses an alternative isolation mechanism to containers, called Library Operating Systems (LibOSs)., cloud-ds hardware-and-the-os
Kernel Techniques to Optimize Memory Bandwidth with Predictable LatencyRecent processors have started introducing the first mechanism to monitor and control memory bandwidth. Can we use these mechanisms to enable machines to be fully used while ensuring that primary workloads have deterministic performance? This project presents early results from using Intel’s Resource Director Technology and some insight into this new hardware support. The project also examines an algorithm using these tools to provide deterministic performance on different workloads.hardware-and-the-os
Unikernel LinuxThis project aims to turn the Linux kernel into a unikernel with the following characteristics: 1) are easily compiled for any application, 2) use battle-tested, production Linux and glibc code, 3) allow the entire upstream Linux developer community to maintain and develop the code, and 4) provide applications normally running vanilla Linux to benefit from unikernel performance and security advantages.hardware-and-the-os
Code2Vec: Learning code representationsThis project analyzed semantic similarities of learned code embeddings parsed from open source python libraries such as numpy, pandas and sklearn. Still in progress is another analysis that learns code embeddings in a supervised manner with the C++ codebase for performance measurement of program execution in CPU with performance counters (e.g. LLC misses to L1 requests, Cycles Per Instruction).ai-ml
Fuzzing Device Emulation in QEMUHypervisors—the software that allows a computer to simulate multiple virtual computers—form the backbone of cloud computing. Because they are both ubiquitous and essential, they are security-critical applications that make attractive targets for potential attackers., , hardware-and-the-os security-privacy-cryptography testing-and-ops
D3N: A Multi-Layer Cache for Data CentersThis project designs and develops D3N, a novel multi-layer cooperative caching architecture that mitigates network imbalances by caching data on the access side of each layer of hierarchical network topology. A prototype implementation, which incorporates a two-layer cache, is highly-performant (can read cached data at 5GB/s, the maximum speed of our SSDs) and significantly improves the performance of big-data jobs., cloud-ds
Practical programming of FPGAs in the data center and on the edgeFPGAs are now essential components in the data center and on the edge with millions deployed. FPGAs are found in a wide variety of system elements and provide such critical functions as SDN, encryption/decryption, and compression. Yet for nearly all system providers, much less system users, programming these FPGAs is impossible. Our overall goal is to enable FPGA application development by High Level Language (HLL) programmers, especially for the data center and the edge, and exclusively using existing open-source tools., , ai-ml cloud-ds hardware-and-the-os
Automatic Configuration of Complex HardwareIn this project, we pursue three goals towards this understanding: 1) identify, via a set of microbenchmarks, application characteristics that will illuminate mappings between hardware register values and their corresponding microbenchmark performance impact, 2) use these mappings to frame NIC configuration as a set of learning problems such that an automated system can recommend hardware settings corresponding to each network application, and 3) introduce either new dynamic or application instrumented policy into the device driver in order to better attune dynamic hardware configuration to application runtime behavior.hardware-and-the-os
Quest-V, a Partitioning Hypervisor for Latency-Sensitive WorkloadsQuest-V is a separation kernel that partitions services of different criticality levels across separate virtual machines, or sandboxes. Each sandbox encapsulates a subset of machine physical resources that it manages without requiring intervention from a hypervisor. In Quest-V, a hypervisor is only needed to bootstrap the system, recover from certain faults, and establish communication channels between sandboxes.hardware-and-the-os
Performance Management for Serverless ComputingServerless computing provides developers the freedom to build and deploy applications without worrying about infrastructure. Resources (memory, cpu, location) specified …cloud-ds