Time and Location: 7/8/2020, Wed., 4 p.m., Online seminar

Speaker: Mr. Misha Ahmadian

Title: HPC Provenance Software Stack and Implementation

Abstract: Provenance refers to a set of metadata that describes the history of data including how data are generated, used, and modified. Each of these metadata annotates the datasets with plenty of details to track, identify, and cite all the generated data. Moreover, provenance systems describe the relationships between all the elements in workflows that contribute to utilize or generate the data and support many advanced data management functionalities such as: recognizing the source of data, finding assumptions behind the given results, auditing users’ file operations, and understanding how particular inputs transforms into desired outputs. In this talk, we will discuss the Provenance Software Stack architecture that has been implemented so far and will address the three main components of this software stack (i.e. Agents, Server, Client) and their corresponding subcomponents. The majority of the time of this talk will be dedicated to giving a demo on how the Client agents such as Provenance Command Line Interface and Grafana Visualization system communicate with the server component via the Provenance RESTful API. (The demo will be delivered on a Test Cluster)