SC13 Home > SC13 Schedule > SC13 Presentation - Robust Processing of Health Stream Data

SCHEDULE: NOV 16-22, 2013

When viewing the Technical Program schedule, on the far righthand side is a column labeled "PLANNER." Use this planner to build your own schedule. Once you select an event and want to add it to your personal schedule, just click on the calendar icon of your choice (outlook calendar, ical calendar or google calendar) and that event will be stored there. As you select events in this manner, you will have your own schedule to guide you through the week.

Robust Processing of Health Stream Data

SESSION: Doctoral Showcase - Early Research Showcase

EVENT TYPE: Doctoral Showcase - Early Research Showcases

TIME: 3:30PM - 5:00PM

SESSION CHAIR: Wojtek James Goscinski

Presenter(s):Kathleen Ericson


Personal health sensors offer the potential to reduce economic costs and improve outcomes. If data from from personal health sensors can be processed in a timely, robust, and failure-resilient manner patients would be able to leave the hospital sooner after major surgeries and those who require full-time care facilities may be able to stay at home, freeing limited health care resources for emergencies. Efficient scheduling is needed to meet processing guarantees. Optimal placements are an instance of the resource-constrained scheduling problem, either NP-hard or NP-complete depending on problem characterization. Our focus is to use statistical and ML algorithms to guide placements to satisfy constraints in real time. We have implemented fault-tolerance through replication and leveraged replicas to enable migrations for load-balancing purposes, allowing quick migrations. We also developed monitoring tools, allowing us to track resource usage on a per-computation basis which can help drive load balancing and computation placement strategies.

Chair/Presenter Details:

Wojtek James Goscinski (Chair) - Monash University

Kathleen Ericson - Colorado State University

Add to iCal  Click here to download .ics calendar file

Add to Outlook  Click here to download .vcs calendar file

Add to Google Calendarss  Click here to add event to your Google Calendar