scholarly journals ANALYSIS AND DESIGN OF DISTRIBUTED SYSTEM FOR MONITORING COMPUTER INFRASTRUCTURE MANAGEMENT BASED ON CLIENT/SERVER BY USING WINDOWS MANAGEMENT INSTRUMENTATION TECHNOLOGY

2019 ◽  
Vol 2 (1) ◽  
pp. 4
Author(s):  
Mr. Musawarman

This research aims to analyze and develop a system for monitoring computer infrastructure management in real time (real-time monitoring). The developed system was a distributed system that would help IT Administrators work at the Center for Computing and Information Technology Faculty of Engineering Universitas Indonesia (CCIT FTUI) to monitor the computer infrastructure in real-time. The Real - time referred to system that was able to do direct monitoring to computer infrastructure, and quickly able to transmit data status of the device. Limitations of the current monitoring process was that the IT Administrator checks directly into the computer lab room if there were problems related to a computer or cable that was not connected from the computer system based on a report from teachers or students.         The developed monitoring system was a client/server based system that used network infrastructure so that the computer infrastructure could be optimally monitored. The modules used in this research are computer input and output modules, and installed applications or system services. This research is expected to be able to overcome the problems associated with computer infrastructure’s performance, conduct supervision and centralized control in helping the problems that often occur during learning process or examination. Keywords: Monitoring, Computer Infrastructure Management, Distributed System, Computer Network, Real-time.

Author(s):  
Ziyu Zhang ◽  
Chunyan Wang ◽  
Wanzhong Zhao ◽  
Jian Feng

In order to solve the problems of longitudinal and lateral control coupling, low accuracy and poor real-time of existing control strategy in the process of active collision avoidance, a longitudinal and lateral collision avoidance control strategy of intelligent vehicle based on model predictive control is proposed in this paper. Firstly, the vehicle nonlinear coupling dynamics model is established. Secondly, considering the accuracy and real-time requirements of intelligent vehicle motion control in pedestrian crossing scene, and combining the advantages of centralized control and decentralized control, an integrated unidirectional decoupling compensation motion control strategy is proposed. The proposed strategy uses two pairs of unidirectional decoupling compensation controllers to realize the mutual integration and decoupling in both longitudinal and lateral directions. Compared with centralized control, it simplifies the design of controller, retains the advantages of centralized control, and improves the real-time performance of control. Compared with the decentralized control, it considers the influence of longitudinal and lateral control, retains the advantages of decentralized control, and improves the control accuracy. Finally, the proposed control strategy is simulated and analyzed in six working conditions, and compared with the existing control strategy. The results show that the proposed control strategy is obviously better than the existing control strategy in terms of control accuracy and real-time performance, and can effectively improve vehicle safety and stability.


2021 ◽  
Vol 40 (2) ◽  
pp. 65-69
Author(s):  
Richard Wai

Modern day cloud native applications have become broadly representative of distributed systems in the wild. However, unlike traditional distributed system models with conceptually static designs, cloud-native systems emphasize dynamic scaling and on-line iteration (CI/CD). Cloud-native systems tend to be architected around a networked collection of distinct programs ("microservices") that can be added, removed, and updated in real-time. Typically, distinct containerized programs constitute individual microservices that then communicate among the larger distributed application through heavy-weight protocols. Common communication stacks exchange JSON or XML objects over HTTP, via TCP/TLS, and incur significant overhead, particularly when using small size message sizes. Additionally, interpreted/JIT/VM-based languages such as Javascript (NodeJS/Deno), Java, and Python are dominant in modern microservice programs. These language technologies, along with the high-overhead messaging, can impose superlinear cost increases (hardware demands) on scale-out, particularly towards hyperscale and/or with latency-sensitive workloads.


2014 ◽  
Vol 989-994 ◽  
pp. 5520-5523 ◽  
Author(s):  
Zhi Ping Peng

The networking technology in warehouse management can be automated cargo management, operations and real-time access to inventory. Application networking technology greatly reduces the workload of warehouse management and unnecessary losses. Through the intelligent management of the goods, but also improve the utilization of warehouse space, to enable enterprises to understand the real-time inventory, thereby reducing inventory costs, improve the accuracy of inventory management.


2021 ◽  
Vol 55 (3) ◽  
pp. 87-98
Author(s):  
S.V. Kvasovets ◽  
◽  
A.V. Ivanov ◽  
Yu.A. Bubeev ◽  
◽  
...  

The paper introduces the principles of an adjoint ideomotion method (AIM) for psychophysiological diagnostics based on a client – server distributed system within which information is communicated and measurement data filed with the help of commonly used smartphones. The authors discuss the issues of remote diagnostics automation and unification, application areas, and practical uses. Comparison of the results of questioning and AIM evidenced for advantages of the latter in respect to small populations and revealing symptoms undetectable by standard questionnaires.


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