2016/01/27 by Tal Mizrahi, Yoram Moses
Computer Science · #Computer network #Computer science #Distributed computing #Embedded system #Host (biology) #Network Time Synchronization Technologies #Operating system #Real-Time Systems Scheduling #Real-time computing #Schedule #Scheduling (production processes) #Software System Performance and Reliability #The Internet #cs.DC #cs.NI
paper · pdf · doi:10.1109/noms.2016.7502876
published as NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium, Istanbul, Turkey, 2016, pp. 679-685 · This technical report is an extended version of "OneClock to Rule Them All: Using Time in Networked Applications", which was accepted to IEEE/IFIP NOMS 2016
arxiv created 2016/01/27 · openalex publication_date 2016/04/01 · arxiv updated 2016/07/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
This paper introduces OneClock, a generic approach for using time in networked applications. OneClock provides two basic time-triggered primitives: the ability to schedule an operation at a remote host or device, and the ability to receive feedback about the time at which an event occurred or an operation was executed at a remote host or device. We introduce a novel prediction-based scheduling approach that uses timing information collected at runtime to accurately schedule future operations. Our work includes an extension to the Network Configuration protocol (NETCONF), which enables OneClock in real-life systems. This extension has been published as an Internet Engineering Task Force (IETF) RFC, and a prototype of our NETCONF time extension is publicly available as open source. Experimental evaluation shows that our prediction-based approach allows accurate scheduling in diverse and heterogeneous environments, with various hardware capabilities and workloads. OneClock is a generic approach that can be applied to any managed device: sensors, actuators, Internet of Things (IoT) devices, routers, or toasters.