| layout | special |
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Videos and presentations
| Video | Slides | |
|---|---|---|
| CloudButton Project Overview and Architecture (WP2) |
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| Metabolomics Use Case |
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| Geospatial Use Case |
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| Genomics Use Case |
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| WP3: Serverless Compute Engine for Big Data |
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| WP4: Support for Mutable Shared Data in Serverless Computing |
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| WP5: CloudButton Toolkit |
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| Dissemination and Communication | TBD |
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Additional materials
| Video | Slides | |
|---|---|---|
| Auto-scaling in-memory computing (RHAT) |
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| Serverless SLAs & Testbed (ATOS) |
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| Argo Serverless Orchestration (IBM) |
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| Triggerflow (URV) |
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Deliverables
| D1.1 Public Project Website |
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| D2.1 Experiments and Initial Specifications |
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| D2.2 Data Management Plan, 1st version |
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| D2.3 CloudButton Architecture Specs and Early Prototypes |
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| D2.4 Data Management Plan, 2nd Version |
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| D3.1 Initial specs of the Serverless Compute and Execution Engine |
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| D3.2 Serverless Compute Engine Design and Prototypes |
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| D4.1 Initial prototype for stateful serverless computation |
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| D4.2 Specification and partial support for degradable objects |
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| D5.1 CloudButton Initial API Definition |
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| D5.2 CloudButton Prototype of Abstractions, Fault-tolerance and Porting Tools |
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| D6.1 Communication plan |
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| D6.2 Communication report |
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Software results
| Title | Description | Repository |
|---|---|---|
| PyWren for IBM Cloud | A framework to massively scale the execution of Python code and its dependencies on IBM Cloud Functions. |
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| Crucial | A system to program highly-concurrent stateful applications on serverless architectures. It keeps a simple programming model and allows to port effortlessly multi-threaded algorithms to FaaS. |
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| Faasm | A high-performance stateful serverless runtime that provides multi-tenant isolation, yet allows functions to share regions of memory. |
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| Triggerflow | An scalable, extensible and serverless platform for event-based orchestration of serverless workflows. |
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| CloudButton Toolkit examples | Notebook examples for the CloudButton Toolkit: Moments in time, Mandelbrot set computation, Pi estimation using the Monte Carlo method. |
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| CloudButton Apache Airflow plugin | Apache Airflow Plugin that implements new operators to easily deploy serverless functions tasks on IBM Cloud Functions. |
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| Serverless Elastic Exploration of Unbalanced Algorithms | Implementation of unbalanced algorithms like the Unbalanced Tree Search benchmark over serverless functions. |
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| Serverless port of SMILE | Port of a subset of SMILE machine learning library to Crucial. |
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| Infinispan Openshift operator | An OpenShift operator to run and rule Infinispan. |
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| Python Client for Infinispan | A Python protoclient for connecting to an Infinispan server via Hotrod. |
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| Replica Exchange with Serverless | Reimplementation of Replica Exchange with Workqueue making use of different Serverless frameworks such as IBM-PyWren and Multiprocessing API. |
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| Metabolomics use case - Experiment 1 | Demonstrates running through the whole Serverless metabolite annotation pipeline with a typical dataset, downloading the results and comparing them against the Serverful implementation of METASPACE. |
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| Metabolomics use case - Experiment 2 | An example of running the pipeline against a smaller set of molecules, to demonstrate the potential of Serverless to provide low-latency access to computing resources. |
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| Metabolomics use case - Experiment 3 | A stress test that runs the Serverless metabolite annotation pipeline with a large dataset and many molecular databases. |
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| Geospatial use case - Experiment 1 and 2 | High-resolution hybrid land-cover mapping and 3D fuel mapping for forest risk assessment |
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| Geospatial use case - Experiment 3 | Water consumption estimation |
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| CloudButton-SLA | SLA system, inspired by the WS-Agreement standard, that uses Knative Observability Plugin monitoring data to supervise Knative running pods in order to identify candidate performance improvements and/or problems. |
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