Article
Computer Science, Hardware & Architecture
Hideki Nishizawa, Wataru Ishida, Yoshiaki Sone, Takafumi Tanaka, Seiki Kuwabara, Tetsuro Inui, Takeo Sasai, Masahito Tomizawa
Summary: This paper identifies challenges in developing future optical network infrastructure for new services based on technologies such as 5G, virtual reality, and artificial intelligence, and suggests approaches to handling these challenges. Through activities in multiservice agreement and de facto standard organizations, the importance of implementing the hardware abstraction layer interfaces of optical transceivers in multivendor and heterogeneous environments is demonstrated. Additionally, an open-transport platform is being constructed to maintain a healthy ecosystem for industry and allow for a flexible, operator-driven network.
JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING
(2021)
Article
Telecommunications
Xiaonan Wang, Xilan Chen, Xingwei Wang
Summary: This paper addresses the importance of achieving secure vehicular data communications in Named Data Networking (NDN) and proposes a Secure vehicular Data Communication (SDC) approach to reduce data communication costs and failure rates. SDC constructs a vehicular backbone to minimize the involvement of authenticated nodes in reverse paths and achieves secure data communications by transmitting the ciphertext of the name and data in signed Interests and Data.
DIGITAL COMMUNICATIONS AND NETWORKS
(2023)
Review
Computer Science, Theory & Methods
Afia Anjum, Paul Agbaje, Arkajyoti Mitra, Emmanuel Oseghale, Ebelechukwu Nwafor, Habeeb Olufowobi
Summary: Named Data Networking (NDN) is an emerging Internet architecture that changes the networking model by making content directly addressable and routable, enabling optimized and secure data communication. This paper presents the concepts of NDN architecture and its application use cases for secure data communications. It also discusses the integration of NDN with the current Internet protocol and highlights the trust management and security aspects of NDN.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2024)
Article
Computer Science, Information Systems
Miroslaw Plaza, Lukasz Pawlik
Summary: This paper discusses how the development pace of Contact Center systems affects selected Key Performance Indicators (KPIs). The technologies deployed in the industry, including IVR, chat, WebRTC, Visual IVR, Social Media, MultiChannel, OmniChannel, and bots, have contributed to the impact on KPIs. The authors also present possible trends in the development of solutions, particularly focusing on the potential of artificial intelligence to enhance Contact Center operations.
Article
Computer Science, Information Systems
Javier Nogueras-Iso, Javier Lacasta, Manuel Antonio Urena-Camara, Francisco Javier Ariza-Lopez
Summary: In recent years, many institutions have launched Open Data initiatives, enabling broader access and utilization of large datasets. While open source platforms have simplified the setup of Open Data portals, few approaches have analyzed how metadata precisely describes related datasets. This research extends a method for checking the quality of geographic metadata to the context of Open Data metadata, aiming to improve metadata quality assessment in the Open Data domain.
Review
Computer Science, Information Systems
Waleed Albattah, Shabana Habib, Mohammed F. Alsharekh, Muhammad Islam, Saleh Albahli, Deshinta Arrova Dewi
Summary: Intelligent transportation systems provide a secure and reliable method of data transfer between vehicles. This document provides a comprehensive overview of the transmission systems, protocols, networks, taxonomy, and applications of intelligent systems. The integration of intelligent technology enables dependable, comfortable, safe, and trustworthy vehicular communication. Current research and development in vehicular communication are analyzed, identifying areas for further improvement. The study also examines how emerging technologies will contribute to the advancement of high-performance vehicular communication systems. Challenges in enhancing existing systems and the need for improved technologies, networks, and protocols for future applications are discussed.
Article
Computer Science, Information Systems
Chengxi Gao, Shuhui Chu, Hong Xu, Minxian Xu, Kejiang Ye, Chengzhong Xu
Summary: Flow scheduling and congestion control are crucial techniques for minimizing flow completion time in data center networks. This paper introduces Flash, a scheme that integrates congestion-aware scheduling and priority-based packet dropping to improve performance. Experimental results demonstrate that Flash outperforms existing schemes in terms of latency and flow completion time.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2023)
Article
Engineering, Civil
Trupil Limbasiya, Debasis Das
Summary: This study proposes a secure and efficient information exchange protocol called QueryCom for vehicular cloud computing in smart transportation. The protocol is designed using SHA-512 and AES-256 to ensure security and user anonymity. Furthermore, an index-based sequential searching method is used to effectively retrieve information from the vehicular cloud database.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Fu Wang, Haipeng Yao, Jingjing Wang, Tianle Mai, Xiangjun Xin, Mohsen Guizani
Summary: This article introduces fast optical switching (FOS) as the most promising technology for data center networks (DCNs) to meet data rate requirements beyond 800 Gb/s. However, FOS is not compatible with the electrical switches widely used in current hybrid optical/electrical switching data center networks (Hoe-DCNs). The article proposes bandwidth resource optimization techniques with the aid of hybrid polling contention resolution and microsecond-level load balancing in Hoe-DCNs, and investigates and evaluates the load balancing characteristics of Hoe-DCNs.
IEEE COMMUNICATIONS MAGAZINE
(2022)
Review
Biology
Deepti Mittal, Rebecca Mease, Thomas Kuner, Herta Flor, Rohini Kuner, Jamila Andoh
Summary: The importance of effective research data management (RDM) strategies grows with advancements in data acquisition techniques and research methods, especially in neuroscience. However, large-scale neuroscience research consortia face challenges in implementing a coherent RDM plan due to the diverse research strategies and requirements they encompass. This article presents a concrete RDM strategy implemented for the Heidelberg Collaborative Research Consortium, focusing on sustainable solutions that incentivize incremental RDM while respecting research-specific requirements.
Article
Computer Science, Information Systems
Zequn Jia, Qiang Liu, Yantao Sun
Summary: The performance of the data center network is critical for lowering costs and increasing efficiency. In this paper, a topology-description-language-based routing approach called sRetor is proposed to reduce packet waiting time and controller workload in software-defined data center networking.
JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS
(2023)
Review
Biochemistry & Molecular Biology
Scott A. Jarmusch, Justin J. J. van der Hooft, Pieter C. Dorrestein, Alan K. Jarmusch
Summary: This article discusses the importance of mass spectrometry technology in natural products research and the new trend of open MS data and data mining tools in this field. Over the past 5 years, this shift has rapidly developed with huge potential for the future. The article proposes a new framework and challenges for utilizing repository data, highlighting the importance of data openness and data mining as the next important development stage in natural products research.
NATURAL PRODUCT REPORTS
(2021)
Article
Computer Science, Hardware & Architecture
Alon Rashelbach, Ori Rottenstreich, Mark Silberstein
Summary: In this study, we aim to scale up Open vSwitch (OVS) to support hundreds of thousands of OpenFlow rules by accelerating its packet classification mechanism using the NuevoMatch algorithm. We have overcome the challenge of slow training rate in NuevoMatch and achieved significant speed improvement. We integrated NuevoMatch with OVS in two design options: as an extra caching layer and as a replacement for OVS's data-path. Evaluation results show substantial speedups and rule update capabilities compared to the original OVS.
IEEE-ACM TRANSACTIONS ON NETWORKING
(2023)
Article
Computer Science, Information Systems
Soham Das, Sartaj Sahni
Summary: This paper focuses on the data aggregation problem in a data center network, proposing two different algorithms and deriving various approximation ratios under different input constraints. Experimental results show that the proposed algorithms can significantly reduce the aggregation time compared to existing algorithms.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2021)
Article
Computer Science, Hardware & Architecture
Yating Yang, Tian Song, Weijia Yuan, Jianping An
Summary: The study proposes an information-centric data retrieval scheme, named Coding-enabled Adaptive-Pull (CAP), to reduce delivery delay, improve content transmission efficiency, and tolerate disruptions.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2021)
