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 AreaRIGUniversitiesrig_hfilterpartner_university_hfilter
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 villageIn this project, a team of BU faculty will team up with Red Hat researchers and with SmartaByar, an organization …, , 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
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 TuningBU faculty members Manos Athanassoulis and Evimaria Terzi will work on building a new robust tuning framework for LSM-based data …, greater-bostonboston-university
PHYSICS: oPtimized HYbrid Space-time servIce Continuum in faaSPHYSICS is a high technology European research project with total funding of about 5ML€ proceeding with a consortium of 14 …, , 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