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Titlebook: Information and Software Technologies; 24th International C Robertas Dama?evi?ius,Giedr? Vasiljevien? Conference proceedings 2018 Springer

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樓主: 太平間
41#
發(fā)表于 2025-3-28 15:35:02 | 只看該作者
Design of an Operator-Controller Based Distributed Robotic Systemner to fulfill the possibility to be extended for future tasks. The usage of multiple processing units leads into a distributed system within one single robot. Therefore, the (software) architecture is even more important than in single-computer robots. The presented DAEbot was designed to implement
42#
發(fā)表于 2025-3-28 22:18:39 | 只看該作者
43#
發(fā)表于 2025-3-29 01:13:27 | 只看該作者
Integral Fuzzy Power Quality Assessment for Decision Support System at Management of Power Network w of power network with distributed generation. It is proposed to consider the power quality index as the main criterion of management. Using the theory of fuzzy sets, the assessment of the conformity of power quality indicators to electric energy quality limits is done. A method for estimating the q
44#
發(fā)表于 2025-3-29 06:44:08 | 只看該作者
45#
發(fā)表于 2025-3-29 09:51:31 | 只看該作者
Adaptive Resource Provisioning and Auto-scaling for Cloud Native Softwarese applications are strongly dependent on automated machinery (i.e. auto-scaling engines, schedulers and cloud resource provisioning software), which enables elasticity and auto-healing. These features improve application availability, resource utilization efficiency and help minimizing SLA violatio
46#
發(fā)表于 2025-3-29 12:38:08 | 只看該作者
Cloud Software Performance Metrics Collection and Aggregation for Auto-Scaling Moduleto the development process as well as increased system load influenced the style of cloud based software architecture. Microservice architecture is preferred architecture despite its complexity when scalability is an essential attribute of quality of service. Microservices should be managed, i.e., h
47#
發(fā)表于 2025-3-29 18:15:24 | 只看該作者
48#
發(fā)表于 2025-3-29 22:53:57 | 只看該作者
49#
發(fā)表于 2025-3-30 00:26:54 | 只看該作者
Smart Deployment of Virtual Machines to Reduce Energy Consumption of Cloud Computing Based Data Centerating costs. Integration of cloud resources makes it possible to save time on the migration of loaded and unprocessed data centers, to qualified data centers, the release of idle nodes, and the reduction of virtual machine virtualization migration..One of the most important challenges is to choose
50#
發(fā)表于 2025-3-30 04:44:10 | 只看該作者
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