Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Tziritas, Nikos"'
Autor:
Huang, Zhuoyao, Zhang, Nan, Shen, Jingran, Diamantopoulos, Georgios, Hua, Zhengchang, Tziritas, Nikos, Theodoropoulos, Georgios
Digital Twin technology facilitates the monitoring and online analysis of large-scale communication networks. Faster predictions of network performance thus become imperative, especially for analysing Quality of Service (QoS) parameters in large-scal
Externí odkaz:
http://arxiv.org/abs/2405.20815
Autor:
Zhang, Nan, Vergara-Marcillo, Christian, Diamantopoulos, Georgios, Shen, Jingran, Tziritas, Nikos, Bahsoon, Rami, Theodoropoulos, Georgios
Dynamic data-driven Digital Twins (DDTs) can enable informed decision-making and provide an optimisation platform for the underlying system. By leveraging principles of Dynamic Data-Driven Applications Systems (DDDAS), DDTs can formulate computationa
Externí odkaz:
http://arxiv.org/abs/2405.14411
Publikováno v:
IIP 2024, vol 703, pp 34-47, 2024
With the rapid development of Deep Learning, more and more applications on the cloud and edge tend to utilize large DNN (Deep Neural Network) models for improved task execution efficiency as well as decision-making quality. Due to memory constraints,
Externí odkaz:
http://arxiv.org/abs/2312.06440
In recent years, we have seen an increase in the adoption of blockchain-based systems in non-financial applications, looking to benefit from what the technology has to offer. Although many fields have managed to include blockchain in their core funct
Externí odkaz:
http://arxiv.org/abs/2312.04226
Engineering regulatory compliance in complex Cyber-Physical Systems (CPS), such as smart warehouse logistics, is challenging due to the open and dynamic nature of these systems, scales, and unpredictable modes of human-robot interactions that can be
Externí odkaz:
http://arxiv.org/abs/2310.07116
Digital Twins (DT) are essentially dynamic data-driven models that serve as real-time symbiotic "virtual replicas" of real-world systems. DT can leverage fundamentals of Dynamic Data-Driven Applications Systems (DDDAS) bidirectional symbiotic sensing
Externí odkaz:
http://arxiv.org/abs/2207.09106
Publikováno v:
IEEE Access, vol. 10, pp. 86423-86434, 2022
Ridesharing has received global popularity due to its convenience and cost efficiency for both drivers and passengers and its strong potential to contribute to the implementation of the UN Sustainable Development Goals. As a result, recent years have
Externí odkaz:
http://arxiv.org/abs/2207.04709
Blockchain systems are challenged by the so-called Trilemma tradeoff: decentralization, scalability and security. Infrastructure and node configuration, choice of the Consensus Protocol and complexity of the application transactions are cited amongst
Externí odkaz:
http://arxiv.org/abs/2204.12477
A digital twin contains up-to-date data-driven models of the physical world being studied and can use simulation to optimise the physical world. However, the analysis made by the digital twin is valid and reliable only when the model is equivalent to
Externí odkaz:
http://arxiv.org/abs/2204.07481
Autor:
Hanai, Masatoshi, Tziritas, Nikos, Suzumura, Toyotaro, Cai, Wentong, Theodoropoulos, Georgios
The dynamic scaling of distributed computations plays an important role in the utilization of elastic computational resources, such as the cloud. It enables the provisioning and de-provisioning of resources to match dynamic resource availability and
Externí odkaz:
http://arxiv.org/abs/2101.07026