Abstract: Data analytics using workflows is an iterative process, in which an analyst makes many iterations of changes, such as additions, deletions, and alterations of operators and their links. In many cases, the analyst wants to compare these workflow versions and their execution results to help decide the next iteration of changes. To this end, […]

Title: QueryBooster: Improving SQL Performance Using Middleware Services for Human-Centered Query Rewriting Abstract: Query latency is critical in many database-backed applications where users need answers quickly to gain timely insights and make mission-critical decisions.  "Query rewriting" is one of the query optimization techniques which transforms SQL queries to more efficient formats based on pre-defined rewriting […]

Abstract: Collaborative data analytics is becoming increasingly important due to the higher complexity of data science, more diverse skills from different disciplines, more common asynchronous schedules of team members, and the global trend of working remotely. In this demo we will show how Texera supports this emerging computing paradigm to achieve high productivity among collaborators […]

Abstract In recent years, there has been a growing interest in building blockchain-based decentralized applications (DApps). DApps typically consist of two components: an on-chain component that implements the logic of the application and runs on blockchain as a smart contract, and an off-chain component that runs on a regular server to receive and process user […]

Abstract: Blockchain has gained considerable traction over the last few years and plays a critical role in realizing decentralized and cryptocurrency applications. A challenge that has been overlooked in prior blockchain algorithms is that they do not consider large-scale network outages and relied on the assumption of reliable global network connectivity. In the event of […]