We seek to extend these cloud technologies to hybrid cloud environments and Edge in particular.
- Our work is focused on the following three layers:
- Infrastructure for IBM Public Cloud
- Platform for Public Cloud
- Hybrid Data Platform
As part of our work at IBM Research – Haifa, we are very involved in contributing to open source communities, and partnering with industry and academia in various worldwide projects including Horizon2020 projects.
We work with the following open source resources:
Infrastructure for IBM Public Cloud
Our research is targeted at making the IBM Public Cloud infrastructure open, reliable, secure, and performant to serve enterprise mission critical and data-intensive applications.
- Our work on future-generation cloud infrastructure explores and develops new technologies in the areas of
- Data center networking
- Virtualized compute services (VMs and containers)
- The data center control plane
- Cloud telemetry that continuously collects information for the security, health, and reliability of the cloud
- AIOps for the cloud to ensure a smart self-healing cloud infrastructure
IBM Public Cloud Platform
We develop tools to improve the productivity of developers and data users
- The capabilities we provide include
- Management for microservice connectivity based on the Istio open project
- Optimization for serverless computing
- Serverless cloud functions for High Performance Cloud workloads such as molecular biology and Monte Carlo simulations
- Management of Telco/5G applications Network Function Virtualizations through Openshift container management
Hybrid Data Platform
We create technologies to store data and process it, simplify analytics, and enable governance so it is secure. This task becomes especially challenging in the hybrid environment where the data is constantly moving and changing.
- Our team is inventing new systems and techniques to help
- Data Skipping, also known X-Skipper, to significantly improve data analytics
- Orchestrate and move data , and control how data is used even after access to data has been granted
- Build open source standards to enable analytics over encrypted data in a secure and governed manner
