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Service quality-based network slicing optimization
No full textNetwork slicing and its optimization is a critical concept in today's telecommunication networks. It involves creating and jointly optimizing separate virtual segments within a single physical network to cater to specific users, devices, or applications. This paper presents an innovative framework that optimizes network resources using estimated QoE values for specific slices and inputs provided by operators, like traffic priority. Operators can also set strict Quality of Service (QoS) parameter requirements, such as minimum bandwidth requirements based on their Service Level Agreements (SLAs), which the model incorporates. Our proposed optimization framework capitalizes on packet-level estimations, avoiding the need for end-user side metrics like WebRTC logs. This innovative approach not only allocates resources based on initial estimates but actively and constantly refines resource allocation leveraging estimated QoE and traffic priority (given by the operator), ensuring optimal network resource allocation, thereby facilitating operators in meeting Service Level Agreement (SLA) compliance and maximizing revenue. In addition to this very dynamic scenario and solution, we propose more static algorithms as well, and investigate the impact of the learning and reconfiguration window i.e., the timeframe which is used as the optimizations input and the timefame in which the network is allowed to be reconfigured. In summary we propose a new network optimization framework based on the estimated QoE and inputs given by the operator (i.e., priority of the traffic and SLA constraints) and we investigate the impact of different network degradations and reconfiguration timeframes on the overall profit
Autonóm földi- és légi járművek kooperatív irányításának megvalósítása Python környezetben
No full textComparative Study of Three 4D Simulation Software
No full textThe gradual adoption of Four-dimensional (4D) simulation and its benefits underscore the increased interest in leveraging all its capabilities. Although widely used in AEC projects, 4D simulation tools are still explored for their ease of use, features, and potential. This report presents a comparative study of three 4D simulation software programs: Navisworks Manage, Synchro 4D Pro, and Fuzor. The analysis aims to evaluate their respective effectiveness for 4D simulation based on several criteria grouped into four main categories: collaborative features, 4D features, 3D features, and planning features. Regarding collaborative features, all three tools have comparable strengths, particularly in terms of file import and export. Navisworks Manage stands out for its compatibility with over 60 file formats, while Synchro and Fuzor distinguish themselves with their plug-in system, in addition to compatibility with certain formats, including IFC. In terms of 4D features, Fuzor takes the lead with its extensive capabilities and possibilities. Navisworks ranks second, meeting all criteria in this category, unlike Synchro, which is slightly behind due to its limitations. In terms of 3D features, Fuzor also excels, offering the ability not only to create 3D models but also to fully meet established criteria. Synchro follows, having an advantage over Navisworks with its ability to modify integrated models, even if only through simple subdivisions. Finally, for planning aspects, Fuzor and Synchro stand out for their numerous features, while Navisworks is in last place, offering more limited options for planning development
