Welcome to Scholar Publishing Group

Distributed Processing System, 2022, 3(4); doi: 10.38007/DPS.2022.030408.

Dynamic Distributed Based on PLC Software Redundancy


Asiane Ullah

Corresponding Author:
Asiane Ullah

Uni de Moncton, Canada


At present, with the development of technology, dynamic distributed system (DDS) have been widely developed in many fields, and the maintenance requirements of the system have also undergone great changes. There are still many places worth discussing about the redundant fault-tolerant mechanism for data loss., so this paper studies the DDS based on PCL soft redundancy. The research on DDS in this paper can be divided into three parts. First, it introduces the architecture of distributed system(DS), dynamic monitoring resources, and an overview of redundant fault-tolerant mechanisms, followed by the collection nodes and resource management of DS. Design, and finally analyze the node repair collection degree and download time.


PCL Software Redundancy, Dynamic Distribution, Resource Management, Distributed System

Cite This Paper

Asiane Ullah. Dynamic Distributed Based on PLC Software Redundancy. Distributed Processing System (2022), Vol. 3, Issue 4: 61-69. https://doi.org/10.38007/DPS.2022.030408.


[1] Alghareb F S, Ashraf R A, Demara R F. Designing and Evaluating Redundancy-Based Soft-Error Masking on a Continuum of Energy versus Robustness. IEEE Transactions on Sustainable Computing, 2018, 3(3):139-152.

[2] Benites L, Benevenuti F, Oliveira A, et al. Reliability Calculation With Respect to Functional Failures Induced by Radiation in TMR Arm Cortex-M0 Soft-Core Embedded Into SRAM-Based FPGA. IEEE Transactions on Nuclear Science, 2019, 66(7):1433-1440.

[3] Oz I, Arslan S. A Survey on Multithreading Alternatives for Soft Error Fault Tolerance. ACM Computing Surveys (CSUR), 2019, 52(2):1-38.

[4] Kang X, Ma R. Power Supply Redundancy Design of Aircraft's Electric Braking Electro-Mechanical Actuation System. Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University, 2018, 36(1):110-116.

[5] Kim D, Kwon J, Han S, et al. Deep Full-Body Motion Network for a Soft Wearable Motion Sensing Suit. IEEE/ASME Transactions on Mechatronics, 2019, 24(1):56-66.

[6] Aranda L A, A Sánchez-Macián, Maestro J A. An Algorithmic-Based Fault Detection Technique for the 1-D Discrete Cosine Transform. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2020, 28(5):1336-1340.

[7] Omar H, Khan O. PRISM: Strong Hardware Isolation-based Soft-Error Resilient Multicore Architecture with High Performance and Availability at Low Hardware Overheads. ACM Transactions on Architecture and Code Optimization, 2021, 18(3):1-25.

[8] Kalra C, Previlon F, Rubin N, et al. ArmorAll: Compiler-based Resilience Targeting GPU Applications. ACM Transactions on Architecture and Code Optimization, 2020, 17(2):1-24.

[9] Hussain T, Muhammad K, Ullah A, et al. Cloud-Assisted Multiview Video Summarization Using CNN and Bidirectional LSTM. IEEE Transactions on Industrial Informatics, 2020, 16(1):77-86.

[10] Asem P. Base resistance of drilled shafts in soft rock using in situ load tests: A limit state approach. Soils and Foundations, 2019, 59( 6):1639-1658.

[11] Nishiyama H, Takamuku S, Iiyama A, et al. Dynamic Distribution of Chemical States of Water inside a Nafion Membrane in a Running Fuel Cell Monitored by Operando Time-Resolved CARS Spectroscopy. The Journal of Physical Chemistry C, 2020, 124(36):19508-19513.

[12] Kolodyazhny S Y, Nekrasov A I. Structural and dynamic distribution patterns of oil fields in the central part of the Volga-Ural anteclise. Geodynamics & Tectonophysics, 2020, 11(1):123-140.

[13] Jiang M, Sun J, Obadi M, et al. Effects of ultrasonic vacuum drying on the drying kinetics, dynamic moisture distribution, and microstructure of honey drying process:. Food Science and Technology International, 2021, 27(5):426-440.

[14] Alonso-Mora J, Samaranayake S, Wallar A, et al. On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment. Proc Natl Acad Sci U S A, 2018, 114(3):462-467.

[15] Peng J, Edgar T F, Eldridge R B. Dynamic Process Intensification of Binary Distillation via Periodic Operation. 2018, 58(12):2671-2680.

[16] Ditmarsch H V, Ruan J, Verbrugge R. Sum and Product in Dynamic Epistemic Logic. Journal of Logic & Computation, 2018, 18(4):563-588.

[17] Chung H M, B.A. Loomis, Smith D L. Swelling and structure of vanadium-base alloys irradiated in the dynamic helium charging experiment. Journal of Nuclear Materials, 2019, 233(1):466-475.

[18] Causse M, Dalguer L A, Mai P M. Variability of dynamic source parameters inferred from kinematic models of past earthquakes. Geophysical Journal International, 2018(3):1837-1837.