Tamar Eilam is an IBM Fellow and Chief Scientist for Sustainable Computing in IBM Research. Since 2019 Tamar is
focusing solely on combating climate change. In particular, Tamar is directing research aiming to reduce the impact of computing on the environment. This includes making computation more energy and carbon efficient, as well as addressing the manufacturing carbon cost.
Tamar Eilam is known for pioneering the concept of a "desired state based deployment and management". This principle centers around the idea of separating the "what" and the "how" in complex application deployments. A semantic description of a topology including software components, services, and infrastructure requirements is linked with automation to produce and converge to the desired state from the current state. This was the basis for a successful family of products known as "Patterns of Expertise".
Tamar received her Ph.D. in the Computer Science Department in the Technion in Israel, where she studied algorithms in graphs and complexity, applied to communication networks. In addition, she worked as a summer intern in IBM Haifa Research Lab, on the cJVM (cluster JVM) project.
The Cloud, DevOps and Operational Analytics Department conducts research on how continuous deliver and operate cloud services with agility, optimization, and insight. Some of the research areas include:
Optimized placement of complex workloads composed of a network of resources based on a number of non-functional requirements.
Domain Specific Languages and tools for workload deployments, including testing for properties such as convergence, problem determination and debugging.
How to collect and analyze data in the cloud to gain insight.