Cloud networking enables flexible service deployments and agile function managements. The convergence of cloud and networking requires the integration of transmission, computation, and storage resources. In this paper, a unified mathematical model on joint optimization of transmission, computation, and storage resources allocation is established, aiming at reducing the job completion time and improving the resource utilization efficiency. To so do, computation resources are first virtualized and then discretized in the time domain. Then we realize the coordination of routing process and transmission, computation resources in cloud networking. Simulation results demonstrate that the propose method could reduce the job completion time by 33%.
{"title":"Joint Optimization of Multidimensional Resources Allocation in Cloud Networking","authors":"Jialong Li, Kangqi Zhu, Nan Hua, Chen Zhao, Yanhe Li, Xiaoping Zheng, Bingkun Zhou","doi":"10.1109/OGC55558.2022.10050986","DOIUrl":"https://doi.org/10.1109/OGC55558.2022.10050986","url":null,"abstract":"Cloud networking enables flexible service deployments and agile function managements. The convergence of cloud and networking requires the integration of transmission, computation, and storage resources. In this paper, a unified mathematical model on joint optimization of transmission, computation, and storage resources allocation is established, aiming at reducing the job completion time and improving the resource utilization efficiency. To so do, computation resources are first virtualized and then discretized in the time domain. Then we realize the coordination of routing process and transmission, computation resources in cloud networking. Simulation results demonstrate that the propose method could reduce the job completion time by 33%.","PeriodicalId":177155,"journal":{"name":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122106702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-06DOI: 10.1109/OGC55558.2022.10050985
Runnan Zhang, Zewei Cai, C. Zuo
We report a new coherence retrieval method based on transport of intensity stack. We capture intensity images at different focal planes, corresponding to phase-space shearing projection, into four-dimensional (4D) phase space to create both high spatial and spatial frequency resolution phase space. We represent the optical field of an arbitrary coherent mode with the help of a typical function in phase space, i.e., the Wigner distribution function. Previous studies mainly focus on coherence measurement by means of interferometry. In addition, despite the sacrifice of both spatial and spatial frequency resolution, wavefront sensor is also a standard tool for coherence measurement. To overcome the existing problems, our method only requires z-scanning to achieve full-resolution coherent retrieval of the optical field without interferometric detection. Furthermore, without requiring hardware modifications, we introduced our coherence retrieval method into microscopic imaging. We apply our method to multi-contrast microscopic imaging with only intensity stack, which have the potential to allow clinicians to view a sample with three separate contrast methods at once, enhancing the information available for diagnosis and disease discrimination.
{"title":"Coherence Retrieval and Multi-contrast Microscopy Imaging by Transport of Intensity Stack","authors":"Runnan Zhang, Zewei Cai, C. Zuo","doi":"10.1109/OGC55558.2022.10050985","DOIUrl":"https://doi.org/10.1109/OGC55558.2022.10050985","url":null,"abstract":"We report a new coherence retrieval method based on transport of intensity stack. We capture intensity images at different focal planes, corresponding to phase-space shearing projection, into four-dimensional (4D) phase space to create both high spatial and spatial frequency resolution phase space. We represent the optical field of an arbitrary coherent mode with the help of a typical function in phase space, i.e., the Wigner distribution function. Previous studies mainly focus on coherence measurement by means of interferometry. In addition, despite the sacrifice of both spatial and spatial frequency resolution, wavefront sensor is also a standard tool for coherence measurement. To overcome the existing problems, our method only requires z-scanning to achieve full-resolution coherent retrieval of the optical field without interferometric detection. Furthermore, without requiring hardware modifications, we introduced our coherence retrieval method into microscopic imaging. We apply our method to multi-contrast microscopic imaging with only intensity stack, which have the potential to allow clinicians to view a sample with three separate contrast methods at once, enhancing the information available for diagnosis and disease discrimination.","PeriodicalId":177155,"journal":{"name":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132602588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-06DOI: 10.1109/OGC55558.2022.10051099
Yuzhong Ma, Zijing Huang, Lin Sun, Gordon Ning Liu
The loss of optical fiber link has a significant impact on the performance of optical fiber communication. In the short-distance optical interconnection, the quality of optical fiber connection is one of the main factors affecting the link loss, especially the influence of optical fiber coupling offset on the optical fiber coupling efficiency. In this paper, we build a model to quantitatively analyze the relationship between coupling offset and coupling efficiency. The simulation results show that a large core fiber has a higher tolerance to coupling offset compared with a traditional fiber.
{"title":"Coupling Efficiency Analysis for Optical Fiber with Different Core Diameters","authors":"Yuzhong Ma, Zijing Huang, Lin Sun, Gordon Ning Liu","doi":"10.1109/OGC55558.2022.10051099","DOIUrl":"https://doi.org/10.1109/OGC55558.2022.10051099","url":null,"abstract":"The loss of optical fiber link has a significant impact on the performance of optical fiber communication. In the short-distance optical interconnection, the quality of optical fiber connection is one of the main factors affecting the link loss, especially the influence of optical fiber coupling offset on the optical fiber coupling efficiency. In this paper, we build a model to quantitatively analyze the relationship between coupling offset and coupling efficiency. The simulation results show that a large core fiber has a higher tolerance to coupling offset compared with a traditional fiber.","PeriodicalId":177155,"journal":{"name":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125476662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-06DOI: 10.1109/OGC55558.2022.10050902
Zhenming Liang, Ziyao Yang, Jian Tang
With the evolution of network architecture and changes in service requirements, operators are posing new challenges to Passive Optical Network (PON) operation and maintenance. In order to solve the lack of intelligent operation and maintenance capabilities of PON, this paper proposes a software defined network (SDN) enabled PON controller based on hierarchical models. PON controller is a codeless frameworks based on model-driven and graphical programming. The standardized YANG model enables the flexible and quick modelling and services handling of different professional levels’ services and networks in PON system. Based on Telemetry technology, a real-time and high-precision collection solution for PON network can be built, realizing all-round and fined real-time visibility of network services. Besides, by introducing the artificial intelligence (AI) technology represented by machine learning and deep learning, automatic closed-loop operating status monitoring, analysis and decision-making of industrial PON networks can be realized, the intelligent level of network operation and maintenance can be improved, which aims to build an automated, visualized and intelligent PON.
{"title":"A SDN Enabled PON Controller based on Hierarchical Models","authors":"Zhenming Liang, Ziyao Yang, Jian Tang","doi":"10.1109/OGC55558.2022.10050902","DOIUrl":"https://doi.org/10.1109/OGC55558.2022.10050902","url":null,"abstract":"With the evolution of network architecture and changes in service requirements, operators are posing new challenges to Passive Optical Network (PON) operation and maintenance. In order to solve the lack of intelligent operation and maintenance capabilities of PON, this paper proposes a software defined network (SDN) enabled PON controller based on hierarchical models. PON controller is a codeless frameworks based on model-driven and graphical programming. The standardized YANG model enables the flexible and quick modelling and services handling of different professional levels’ services and networks in PON system. Based on Telemetry technology, a real-time and high-precision collection solution for PON network can be built, realizing all-round and fined real-time visibility of network services. Besides, by introducing the artificial intelligence (AI) technology represented by machine learning and deep learning, automatic closed-loop operating status monitoring, analysis and decision-making of industrial PON networks can be realized, the intelligent level of network operation and maintenance can be improved, which aims to build an automated, visualized and intelligent PON.","PeriodicalId":177155,"journal":{"name":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125919451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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