Open CEP – An Advanced Open Source Complex Event Processing Engine

An Israel RIG project

CEP is a prominent technology for robust and high-performance real-time detection of arbitrarily complex patterns in massive data streams. It is widely employed in many areas where extremely large amounts of streaming data are continuously generated and need to be promptly and efficiently analyzed on-the-fly. Online finance, network security monitoring, credit card fraud detection, sensor networks, traffic monitoring, healthcare industry, and IoT applications are among the many examples. The aim of this project is to create a scalable open-source complex event processing (CEP) framework.


No longer the realm of supercomputing labs and theoretical research, AI/ML is just beginning to expand its practical applications. The combination of academic approaches and industry use cases promises to accelerate its adoption. Our research spans the gamut of algorithm development, data hygiene, AI methods, and attacking old challenges with AI approaches.


ProjectSummaryResearch AreaRIGUniversitieshf:tax:righf:tax:partner_university
Improving Cyber Security Operations using Knowledge GraphsAbstractThe objective of this project is to improve the workflow and performance of security operation centers, including automating several of …, , greater-bostonboston-university
Common Vulnerabilities and Exposures (CVE) mining and predictionWith the continuous increase in reported Common Vulnerabilities and Exposures (CVEs), security teams are overwhelmed by vast amounts of data, …, , tel-avivreichman-university tel-aviv-university
AppLearner: learn and predict the resource consumption patterns of your applicationThis project targets the problem of accurately estimating resource requirements for workloads running over Red Hat OpenShift Container Platform and adjusting these estimations during the course of application execution., tel-avivtechnion
Minimal Mobile Systems via Cloud-based Adaptive Task ProcessingThe high cost of robots today has hindered their widespread use. Specifically, a limiting factor involves extensive hardware and software …, greater-bostonboston-university
Co-Ops: Collaborative Open Source and Privacy-Preserving Training for Learning to DriveNote: This project is a continuation of OSMOSIS: Open-Source Multi-Organizational Collaborative Training for Societal-Scale AI Systems. AbstractCurrent development of autonomous …, greater-bostonboston-university
CoDes : A co-design research lab to advance specialized hardware projectsCoDes research lab provides the infrastructure and engineering foundation needed to support co-design based specialized hardware research. The lab is currently located at Boston University, as part of the Red Hat – Boston University collaboratory., , greater-bostonboston-university
ICOS: IoT2Cloud Operating SystemThe ICOS project aims at covering the set of challenges coming up when addressing this continuum paradigm, proposing an approach embedding a well-defined set of functionalities, ending up in the definition of an IoT2cloud Operating System (ICOS)., , , , , brno tel-avivnational-and-kapodistrian-university-of-athens technische-universitat-braunschweig universitat-politecnica-de-catalunya-upc
Cloud Cost OptimizerThe goal of this project is to design and implement a scalable multi-cloud cost optimizer capable of calculating the best …, tel-avivtechnion
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., greater-bostonuniversity-of-notre-dame
Tuning the Linux kernelThe Linux kernel is a complicated piece of software with multiple components interacting with each other in complex ways. The …, greater-boston
Disinformation Detection at ScaleThe increased prevalence of fake and manipulated visual media on the Internet has led to social and technical dilemmas in …, , greater-bostonunicamp-universidade-estadual-de-campinas university-of-notre-dame
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, , greater-bostonboston-university
Creating a global open research platform to better understand social sustainability using data from a real-life smart villageA BU team is working with SmartaByar and the Red Hat Social Innovation Program in order to create a global …, , greater-bostonboston-university
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., greater-bostonboston-university
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., , greater-bostonboston-university
The Open Education Project (OPE)In 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., greater-bostonboston-university
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)., , greater-bostonboston-university
Robust Data Systems TuningNote: Please see the Learned Cost-Models for Robust Tuning project page for research that has grown from this project. See …, greater-bostonboston-university
PHYSICS: oPtimized HYbrid Space-time servIce Continuum in faaSJoin Red Hat Research for the next Research Days event, “PHYSICS EU Project: Advancing FaaS applications in the cloud continuum,” on November 16, 2022, …, , brno tel-aviv
Adaptive Learning of ProgrammingThe mission of Adaptive Learning of Programming is to make learning more efficient and engaging by personalizing educational systems using artificial intelligence techniques.brnomasaryk-university
OpenInfra LabsOpenInfra Labs is an OpenStack Foundation project connecting open source projects to production to advance open source infrastructure. The project …, , , , , , boston-university northeastern-university umass-amherst
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., , , , , , greater-bostonboston-university northeastern-university umass-amherst
Open CEP – An Advanced Open Source Complex Event Processing EngineThe aim of this project is to create a scalable open-source complex event processing (CEP)
Ceph: Wire-Level Compression-Efficient Object Storage Daemon Communication for the CloudThe project’s purpose is to reduce storage network traffic (object, block, etc.) for the following cases: between the failure domains in cost-sensitive environments such as public clouds, and between nodes in cases where the network bandwidth is the bottleneck of the node
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).greater-bostonboston-university
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., , greater-bostonboston-university