DESIGNING DISTRIBUTED AUTOMATIC SOFTWARE UPDATE SYSTEM

This article offers the reader a practical guide to the design and development of a distributed client-server system designed to perform automatic software updates using the example of non-trivial functionality. For comparison, examples of existing systems and solutions used to perform software updates are given and justifications for their functional unsuitability in the given circumstances are provided.

The Cambridge Cognitive and Psychiatric Assessment Kit (CamCOPS): A Secure Open-Source Client–Server System for Mobile Research and Clinical Data Capture

CamCOPS is a free, open-source client–server system for secure data capture in the domain of psychiatry, psychology, and the clinical neurosciences. The client is a cross-platform C++ application, suitable for mobile and offline (disconnected) use. It allows touchscreen data entry by subjects/patients, researchers/clinicians, or both together. It implements a large and extensible range of tasks, from simple questionnaires to complex animated tasks. The client uses encrypted data storage and sends data via an encrypted network connection to a CamCOPS server. Individual institutional users set up and run their own CamCOPS server, so no data is transferred outside the hosting institution's control. The server, written in Python, provides clinically oriented and research-oriented views of tasks, including the tracking of changes over time. It provides an audit trail, export facilities (such as to an institution's primary electronic health record system), and full structured data access subject to authorization. A single CamCOPS server can support multiple research/clinical groups, each having its own identity policy (e.g., fully identifiable for clinical use; de-identified/pseudonymised for research use). Intellectual property rules regarding third-party tasks vary and CamCOPS has several mechanisms to support compliance, including for tasks that may be permitted to some institutions but not others. CamCOPS supports task scheduling and home testing via a simplified user interface. We describe the software, report local information governance approvals within part of the UK National Health Service, and describe illustrative clinical and research uses.

Estimation of response time of laser complex data processing nodes

The work is devoted to problem of information exchange between elements and devices of a telecommunication network for laser technological complex. The laser complex is a combination of hardware and software designed to carry out operations based on the use of laser radiation. Laser complex structure provides a possibility of remote control through a client-server system built on the basis of TCP/IP protocol. The main requirements for industrial network of the complex are performance and predictability of information delivery time. To solve this problem, a probabilistic model for calculating the numerical characteristics of the distribution of requests timeout for external commands from control/monitoring nodes is proposed.

Design and Application of Innovative 3DVC in AI Server System

With the accelerated application of cloud computing and artificial intelligence, the computing power and power consumption of chips are greatly enhanced, which brings severe challenges to heat dissipation. Based on this, Baidu has adopted advanced phase change cooling technology and successfully developed an innovative 3dvc air cooling scheme for AI server system. This paper introduces the design, test and verification of the innovative scheme in detail. The results show that the scheme can reduce the GPU temperature by more than 5 °C compared with the traditional heat pipe cooling scheme, save 30%+ of the fan power consumption, and achieve good cooling and energy saving effect.