Building upon the success of the First International Active Workshop at ICDE'17 conference, the second edition of Active will focus primarily on Active Middleware. The objective of this one-day workshop is to investigate opportunities in exploiting the crossroad between novel hardware technologies and middleware: active (compute-intensive) technologies such as active memory, active networking, and active storage for accelerating distributed data-intensive workloads, and investigate issues in enabling these
Recent popularity of Big Data applications has renewed interest in developing and optimizing distributed data-intensive workloads. In addition to the traditional scientific computing domain, Big Data phenomena are observed in a variety of new domains such as Internet of Things (IoT), social analytic, personalized health and precision medicine, bioinformatics, energy informatics, and emergency response and disaster management. The Big Data workloads are characterized by unprecedented volumes and velocity of
Unfortunately, existing approaches to solve data-intensive problems are woefully inadequate to address the challenges raised by the Big Data applications. Specifically, these approaches require data to be processed to be moved near the computing resources while studying the role of middleware paradigm to this end. These data movement costs can be prohibitive for large data sets such as those observed in the aforementioned workloads. One way to address this problem is to bring virtualized computing resources