With the development of the era of big data, it is becoming more and more important to store efficient and secure massive data. Distributed secure storage technology, combined with distributed storage technology and data encryption technology, has the characteristics of security and mass storage, and has become a hot spot in the field of current information security research. In distributed storage technology, the selection of storage nodes is a key problem. Whether the selected node is reasonable will affect the system performance and the effective utilization of storage capacity. Cloud computing is a form of information storage. The essence of "cloud" is the network. On the one hand, cloud computing is a network that can store data. Users can call data on the "cloud" when using it, according to the amount required by users, and at some level, the storage amount is unlimited. This paper designs and implements a distributed encrypted file storage system based on WebDAV protocol. After using the cloud computing mode, the server side encrypts and divides the file content, and the proposed node selection algorithm is used to store the data on the selected nodes in the server cluster. The function and performance tests of the system show that the system is functioning correctly functional, efficient, safe and easy to use, and has good scalability.

Nardelli Matteo. A Distributed System Design Based on Cloud Computing. Distributed Processing System (2021), Vol. 2, Issue 2: 9-17. https://doi.org/10.38007/DPS.2021.020202.

[1] Parsons M A, Kara M Y, Robinson K M, et al. Early-Stage Naval Ship Distributed System Design Using Architecture Flow Optimization. Journal of Ship Production and Design, 2020:1-19.

[2] Klishin A A, Singer D J, Anders G V. Interplay of Logical and Physical Architecture in Distributed System Design. 2020,3(1):3-4.

[3] Zhang T, Song W S, Wang S, et al. Design of the Multi-Energy Complementary Distributed Energy System for Towns. 2021, 009(004):P.53-60. https://doi.org/10.4236/jpee.2021.94004

[4] Hou J, Wang J, Ji C, et al. A review of regional distributed energy system planning and design. International Journal of Embedded Systems, 2021, 14(1):89-89. https://doi.org/10.1504/IJES.2021.111984

[5] Chumnanvanichkul S, Suwanasri C, Wangdee W. Distributed Generator's Fault Ride-Through Capability Design with System Relay Coordination 2020 8th International Electrical Engineering Congress (iEECON). 2020,14(3):13-14.

[6] Ha A, Zo B, Maa B. A Long Short-Term Memory (LSTM)-Based Distributed Denial of Service (DDoS) Detection and Defense System Design in Public Cloud Network Environment. Computers & Security, 2021,3(2):1-2.

[7] Siritoglou P, Oriti G, Bossuyt D, et al. Distributed Energy-Resource Design Method to Improve Energy Security in Critical Facilities. Energies, 2021, 14(1):1-2. https://doi.org/10.3390/en14102773

[8] Makowski N, Campean A, Lambrecht J M, et al. Design and Testing of Stimulation and Myoelectric Recording Modules in an Implanted Distributed Neuroprosthetic System. IEEE Transactions on Biomedical Circuits and Systems, 2021, PP(99):1-1.

[9] Bednarski U, R Sieńko, Grygierek M, et al. New Distributed Fibre Optic 3DSensor with Thermal Self-Compensation System: Design, Research and Field Proof Application Inside Geotechnical Structure. Sensors, 2021, 21(15):50-51. https://doi.org/10.3390/s21155089

[10] Sallow A B. Design And Implementation Distributed System Using Java-RMI Middleware. Academic Journal of Nawroz University, 2020, 9(1):113. https://doi.org/10.25007/ajnu.v9n1a550

[11] Subiyanto S, Prakasa M A, Wicaksono P, et al. Intelligence Technique Based Design and Assessment of Photovoltaic-Battery-Diesel for Distributed Generation System in Campus Area. International Review on Modelling and Simulations, 2020, 13(1):63. https://doi.org/10.15866/iremos.v13i1.18147

[12] Ramdani F, Wirasatriya A, Jalil A R. Monitoring The Sea Surface Temperature and Total Suspended Matter Based on Cloud-Computing Platform of Google Earth Engine and Open-Source Software. IOP Conference Series: Earth and Environmental Science, 2021, 750(1):7-8.

[13] Ashammakhi N, Unluturk B D, Kaarela O, et al. The Cells and the Implant Interact With the Biological System Via the Internet and Cloud Computing as the New Mediator. Journal of Craniofacial Surgery, 2021, 32(5):1655-1657.

[14] Samriya J K, Patel S C, Khurana M, et al. Intelligent SLA-Aware VM Allocation and Energy Minimization Approach with EPO Algorithm for Cloud Computing Environment. Mathematical Problems in Engineering, 2021, 2021(6):1-13.

[15] Zheng P, Wu Z, Sun J, et al. A Parallel Unmixing-Based Content Retrieval System for Distributed Hyperspectral Imagery Repository on Cloud Computing Platforms. Remote Sensing, 2021, 13(2):176. https://doi.org/10.3390/rs13020176

[16] Amer D A, Attiya G, Ziedan I, et al. A New Task Scheduling Algorithm based on Water Wave Optimization for Cloud Computing. International Journal of Computer Applications, 2021(3),1-2. https://doi.org/10.5120/ijca2021921320

[17] Dubey A K, Mishra V. Analysis of Performance and Trust in Load Balancing Algorithm on Cloud Computing Environment. International Journal of Advanced Intelligence Paradigms, 2021, 1(1):1. https://doi.org/10.1504/IJAIP.2021.10030101

[18] Abdullayeva F J. Cloud Computing Virtual Machine Workload Prediction Method Based on Variational Autoencoder. International Journal of Systems and Software Security and Protection, 2021, 12(2):33-45. https://doi.org/10.4018/IJSSSP.2021070103