Red Hat associates from Boston, Westford and several other US locations collaborate with New England and Mid-Atlantic researchers on many research projects. In addition to long-standing formal arrangements with Boston University, the Massachusetts Open Cloud, 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.
Date: July 13, 2021
Intern Kernel Project Summaries
Project update #1 – EET Testing – Ryan Sullivan (email@example.com), Boston University student, Red Hat intern; Larry Woodman, Red Hat Advisor
Describe an EET testing project for Linux memory page reclamation algorithm
View the .pdf presentation
Project update #2 – eBPF Loggin Bandwidth Limiter – Ryan Sullivan (firstname.lastname@example.org), Boston University student, Red Hat intern; Larry Woodman, Red Hat Advisor
Describe a new project that can provide a Site Reliability Engineer with the capability to control the bandwidth consumed by the combined processes running logging as Kubernetes managed containers. This provides the ability to balance the system so that logging does not consume all available disk bandwidth or network bandwidth and inadvertently cause starvation of applications or instability of Kubernetes nodes. Bandwidth limits are provided on a file-descriptor basis.
View the .pdf presentation
Paper Reading Group – Part 3: Discussing research on “Deep learning for self-driving/autonomous cars”– Ahmed Sanaullah (20-30 min)
Join us for the third and final pilot session of the paper reading group as we wrap up the first leg of our journey. In this session, we will be emulating one potential way of conducting the (post-pilot) paper reading group. The traditional approach taken in paper reading groups is usually paper-centric/depth-first i.e. going over a single major paper in detail or discussing a number of individual papers one after the other. In contrast, our discussion will be organized in a more topic-centric/breadth-first manner. That is, the goal will be to individually discuss key facets of the topic by pooling together information from multiple papers.
Papers discussed today:
–Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling
–Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling
–DeepPicar: A Low-cost Deep Neural Network-based Autonomous
Meeting will be recorded and the recording will be available after the event.
Greater New England RIG Meetings Archive
In this series of Research Days, Red Hat experts, including Red Hat’s Chief Technology Officer, Chris Wright, and researchers from Harvard, Yale, Boston University, and other leading universities discussed their ongoing research on technology to improve privacy and security, make experimentation and system execution more reproducible, and enhance the performance and reliability of cloud systems.
This summer, Red Hat sponsored the Leadership Academy, a program launched by the University of Massachusetts Amherst, led by equity and inclusion expert Nilanjana Buju Dasgupta.
Title Summary Research Area Universities research_area_hfilter Robust LSM-Trees Under Workload Uncertainty We 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, … Hardware and the OS Boston University hardware-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 … Boston University Are Adversarial Attacks a Viable Solution to Individual Privacy? Users of online services today must trust platforms with their personal data. Platforms can choose … Security, Privacy, Cryptography Boston University security-privacy-cryptography Workflow-Centric Tracing for Cloud Applications Workflow-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 Boston University, Northeastern University cloud-ds Hybrid Cloud Caching A 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 … Boston University, Northeastern University Volume Storage Over Object Storage This 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 Boston University, Northeastern University cloud-ds Kariz Cache Prefetching and Management Kariz is a caching system that works closely with analytic frameworks scheduler to find the best caching policy for the current running application. Cloud-DS Boston University, Northeastern University cloud-ds PACT: Private Automated Contact Tracing Security, Privacy, Cryptography Boston University security-privacy-cryptography Elastic Secure Infrastructure This 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 Boston University cloud-ds security-privacy-cryptography testing-and-ops Open Cloud Testbed The 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 … AI-ML, Cloud-DS, Hardware and the OS, Security, Privacy, Cryptography, Testing and Ops Boston University, Northeastern University, UMass Amherst ai-ml cloud-ds hardware-and-the-os security-privacy-cryptography testing-and-ops Ceph Storage This research project is investigating how Ceph compression and erasure coded pools could optimize Prometheus tsdb storage. Cloud-DS UMass Lowell cloud-ds Implementing Secure Multi-Party Computing Secure 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 … Cloud-DS, Security, Privacy, Cryptography Boston University cloud-ds security-privacy-cryptography Outfitting QEMU/KVM with Partitioning Hypervisor Functionality This 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 Boston University hardware-and-the-os An Optimizing Operating System: Accelerating Execution With Speculation To 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 … Cloud-DS, Hardware and the OS Boston University cloud-ds hardware-and-the-os Kernel Techniques to Optimize Memory Bandwidth with Predictable Latency Recent 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 … Hardware and the OS Boston University hardware-and-the-os Unikernel Linux This 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 … Hardware and the OS Boston University hardware-and-the-os Code2Vec: Learning code representations This 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 … AI-ML Boston University ai-ml Fuzzing Device Emulation in QEMU Hypervisors—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 Boston University hardware-and-the-os security-privacy-cryptography testing-and-ops D3N: A Multi-Layer Cache for Data Centers This 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 … Cloud-DS Boston University, Northeastern University cloud-ds Practical programming of FPGAs in the data center and on the edge FPGAs 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 … AI-ML, Cloud-DS, Hardware and the OS Boston University ai-ml cloud-ds hardware-and-the-os Automatic Configuration of Complex Hardware In 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 … Hardware and the OS Boston University hardware-and-the-os Quest-V, a Partitioning Hypervisor for Latency-Sensitive Workloads Quest-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 … Hardware and the OS Boston University hardware-and-the-os Performance Management for Serverless Computing Serverless computing provides developers the freedom to build and deploy applications without worrying about infrastructure. … Cloud-DS Boston University cloud-ds