Conference Information
ISORC 2023: International Symposium on Real-time Distributed Computing
https://isorc.github.io/2023/
Submission Date:
2023-02-18 Extended
Notification Date:
2023-04-04
Conference Date:
2023-05-23
Location:
Nashville, Tennessee, USA
Years:
26
CORE: c   QUALIS: b1   Viewed: 16659   Tracked: 9   Attend: 3

Call For Papers
 ISORC has become established as the leading event devoted to state-of-the-art research in the field of object/component/service-oriented real-time distributed computing (ORC) technology. In addition to the main conference, ISORC 2023 will host a special session dedicated to posters and demos, where participants will be able to show prototypes, tools, simulators, and systems, which demonstrate the applicability of real-time computing to different applications. This year, ISORC will improve the peer-reviewing process by introducing double-blind submissions.

Best Paper and Student Paper Awards will be delivered during the conference.

Main Theme and Topics

We solicit high-quality papers pertaining to all aspects of ORC technology and especially those that are well aligned with the 2023 theme. Authors are encouraged to consider submissions with a practical orientation and validation related to Case Studies & Applications in this area. The specific ORC focus areas include, but are not limited to:

    Software architectures for real-time distributing computing: programming paradigms, ORC paradigms, object/component models, languages, synchronous languages.

    Distributed computing and communication infrastructures: real-time communications, networked platforms, protocols, Internet QoS, peer-to-peer computing, sensor networks, VANETS and V2V and V2I communications, time-predictable systems and hardware, Time Sensitive Networking, AI-powered Metaverse, Digital twin for real-time data processing, Blockchain, Distributed Ledger Technology (DLT), Federated Learning, TinyML, and EdgeAI for real-time IoT, trusted and dependable systems, complex systems of systems, model maintenance.

    Algorithms for real-time analytics: real-time stream processing solutions including clustering, classification, mining and inferencing, machine and deep learning, statistical modeling, Digital Twin Real-Time Predictive Analytics, stream correlation and sampling.

    System software: real-time kernels, operating systems, virtualization/container mechanisms and distribution middleware for ORC, supporting QoS management and performance, decentralized processing and scalability, extensibility, synchronization, resource allocation, scheduling, energy efficiency, timing analysis, fault tolerance and resilience, security.

    Applications: medical devices, intelligent transportation systems, industrial automation systems and Industry 4.0, Internet of Things and Smart Grids, embedded and cyber-physical systems (automotive, avionics, autonomous vehicles, consumer electronics, building systems, sensors, etc), multimedia processing, RT Web-based Applications, QoS-Aware and real-time Cloud/Edge/Fog Computing, real-time packet processing for future networking infrastructures and Network Function Virtualization (NFV), Network Slicing, Blockchain for Real-Time IoT applications, Distributed Ledger Technology (DLT) for Real-time Log Management, decentralized real-time data network, Digital Twins for IoT Industries, time-sensitive social dispersed computing.

    System evaluation: monitoring mechanisms & infrastructures, performance & timing evaluation, dependability, end-to-end QoS, system/infrastructure overheads, fault detection and recovery time, large-scale evaluations and field studies.
Last updated by Dou Sun in 2023-01-26
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