A Demo Paper: An Analytic Workflow Framework for Green Campus

Abstract

This paper proposes a multi-tenant workflow framework that allows users to create data analytic workflows whose tasks are efficiently scheduled and distributed in cloud computing environment. We provide a demo of an event room assignment (ERA) as a test application of the framework. The ERA dynamically and automatically assigns registered events (e.g., meetings, classes, conferences, etc.) to available rooms meeting the user requirements such as the event size, purpose, reservation period, etc. The assignment will lead to the energy efficiency with respect to the power usage (e.g., lighting, ventilation, devices, etc.), and the energy savings can be achieved without affecting people's comfort. We run the ERA with power consumption data (whose size is approximately 50GB) collected from each of over 200 rooms in a building at Dept. of Engineering, Tokyo University. Through the demonstration, we will show that the proposed framework accelerates the speed of data analysis by providing userfriendly workflow composition and parallel processing features utilizing cloud computing technologies.

Workflow framework to support data analytics in cloud computing

“…The final phase computes the optimal room assignment based on the registered event requests and the obtained room information as well as the real-time weather data. The complete diagram and details of this workflow can be found in [15] V. CONCLUSION AND FUTURE WORKS We have presented the design and implementation of the CODA framework for supporting big data analytics in cloud computing. Important functions have been available in the framework, i.e., workflow scheduling, data locality, resource provisioning, and monitoring functions.…”

“…Fig. 6 shows a workflow for an event room assignment application developed in [15]. The application can optimally assign registered events (e.g., meetings, classes, conferences, etc.)…”