Cloud Computing (IN2107)

Prof. Dr. Michael Gerndt, Anshul Jindal, Mohak Chadha, Paolo Notaro, Jianfeng Gu

Motivation

Cloud computing is dominating the IT sector due to its on-demand provisioning of resources. It enables highly elastic and scalable application work loads with huge differences in computational and storage demand. The Internet of Things is an excellent use case for clouds as it has a varying amount of incoming sensor data creating huge storage requirements. Accesses to the data might be based on short running functions but also compute intensive analytics jobs are run on the data. Other applications follow the cloud native model where the application is decomposed into microservices which are deployed based on backend services of the cloud provider into VMs or Kubernetes clusters. In combination with the microservices more and more applications also use function-as-a-service offerings of the cloud providers. Running these complex parallel and distributed applications efficiently on the large scale cloud infrastructure, even in combination with distributed resource on the edge, poses a lot of challenges on the management of the applications as well as of the infrastructure. 

The topics that will be covered in this instance of the seminar are: 

• HPC Workflows in the Cloud
• Performance of HPC applications in the Cloud
• Online Failure Prediction
• Power-efficient Datacenter Management
• Resource Management for Edge/Fog Computing with Autonomous Driving
• Resource Management for Autonomous Driving Platform
• Acceralators-as-a Service
• Caching Strategies for Function-as-a-Service Applications
• Trusted Execution Enviornments in the Cloud
• Inferencing Neural Networks using Serverless Computing
• Disaggregated based Serverless Databases
• Serverless Function Snapshots

The students will select material for the presentation, provide a report, and give a presentation of 30 minutes. The management of the seminar is done through Moodle.