Cloud scale Data Centers and use cases impose new challenges on all the layers of the compute stack and of the interconnect. We address these challenging by researching advanced aspects of Cloud Platforms Infrastructure. We focus on Core Systems Architecture and Networking, to benefit existing and emerging cloud workloads such as Cloud Storage and Big Data processing, Machine Learning and Deep Learning, cognitive computing and IoT.

Manager

Kathy Barabash, Manager Cloud Architectures and Networking, IBM Research - Haifa

Research Areas

Core Systems Architecture

Core Systems Architecture


We research the cloud's foundation, on which all other cloud technologies rely. The operating system and hypervisor constitute the fundamental software which the cloud is built on, which require constant tuning and optimization to meet the challenges of today's applications. We drive these changes through research on topics such as I/O performance in virtualized environments, and context migration in heterogeneous clusters.

Cloud Networking

Cloud Networking


Research covers all aspects of connectivity in the cloud – Data Center Networks (DCN), Data Center Interconnects (DCI) and Cloud Federation, network virtualization, Software Defined Networking (SDN), cloud-ready network services, etc.

CogNETive

Cloud Visualization and Troubleshooting - In CogNETive!

We create a tool set to facilitate efficient and effective operation of cloud systems at a very large scale. We combine our cloud and networking expertize with cognitive computing techniques to help operators see through complex cloud systems and troubleshoot them.