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Relevant bibliographies by topics / In-network computing

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Journal articles
Dissertations / Theses
Books
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Conference papers
Reports

Academic literature on the topic 'In-network computing'

Author: Grafiati

Published: 10 December 2022

Last updated: 8 June 2024

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Journal articles on the topic "In-network computing"

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Gupta, Sachin. "Network Security in Cloud Computing." International Journal for Research in Applied Science and Engineering Technology 8, no. 11 (2020): 636–41. http://dx.doi.org/10.22214/ijraset.2020.32244.

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Wu, Yulei, Guojun Wang, and Ahmed Al-Dubai. "Advances in trusted network computing." Security and Communication Networks 7, no. 9 (2014): 1311–12. http://dx.doi.org/10.1002/sec.1050.

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Chen, Yu. "MEC Network Resource Allocation Strategy Based on Improved PSO in 5G Communication Network." International Journal on Semantic Web and Information Systems 19, no. 1 (2023): 1–17. http://dx.doi.org/10.4018/ijswis.328526.

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Relying on features such as high-speed, low latency, support for cutting-edge technology, internet of things, and multimodality, 5G networks will greatly contribute to the transformation of Web 3.0. In order to realize low-latency and high-speed information exchange in 5G communication networks, a method based on the allocation of network computing resource in view of edge computing model is proposed. The method first considers three computing modes: local device computing, local mobile edge computing (MEC) server computing, and adjacent MEC server computing. Then, a multi-scenario edge comput

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Prof. Krishnakumar L, Prof Krishnakumar L., and Nisha Mariam Varughese. "Intrusion Detection Using Collaborative Network Security Management System in Cloud Computing." Indian Journal of Applied Research 4, no. 3 (2011): 145–47. http://dx.doi.org/10.15373/2249555x/mar2014/42.

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Zheng, Changgang, Haoyue Tang, Mingyuan Zang, et al. "DINC: Toward Distributed In-Network Computing." Proceedings of the ACM on Networking 1, CoNEXT3 (2023): 1–25. http://dx.doi.org/10.1145/3629136.

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In-network computing provides significant performance benefits, load reduction, and power savings. Still, an in-network service's functionality is strictly limited to a single hardware device. Research has focused on enabling on-device functionality, with limited consideration to distributed in-network computing. This paper explores the applicability of distributed computing to in-network computing. We present DINC, a framework enabling distributed in-network computing, generating deployment strategies, overcoming resource constraints and providing functionality guarantees across a network. It

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Hamdy, Noha, Amal Elsayed Aboutabl, Nahla ElHaggar, and Mostafa-Sami M. Mostafa. "Dynamic Task Scheduling Method in Cloud Computing Environment Using Optimized Neural Network." International Journal of Future Computer and Communication 6, no. 4 (2017): 143–47. http://dx.doi.org/10.18178/ijfcc.2017.6.4.507.

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Xiaochun, Xu, Xu Guanghui, and Xu Yongsen. "Architectural issues in network-centric computing." ACM SIGSOFT Software Engineering Notes 27, no. 1 (2002): 53–57. http://dx.doi.org/10.1145/566493.1148030.

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Ferrari, Adam. "JPVM: network parallel computing in Java." Concurrency: Practice and Experience 10, no. 11-13 (1998): 985–92. http://dx.doi.org/10.1002/(sici)1096-9128(199809/11)10:11/13<985::aid-cpe404>3.0.co;2-a.

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Alzahrani, Ali, Theyazn H. H. Aldhyani, Saleh Nagi Alsubari, and Ans D. Alghamdi. "Network Traffic Forecasting in Network Cybersecurity: Granular Computing Model." Security and Communication Networks 2022 (June 20, 2022): 1–14. http://dx.doi.org/10.1155/2022/3553622.

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Industry 4.0, also known as the Internet of Things, is a concept that encompasses the joint applicability of operation, the Internet, and information technologies to expand the efficiency expectation of automation to include green and flexible processes and innovative products and services. Industrial network infrastructures must be modified to accommodate extra traffic from a variety of technologies in order to achieve this integration. In order to successfully implement cutting-edge wireless technologies, high-quality service (QoS) must be provided to end users. It is thus important to keep

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Mehibs, Shawq Malik, and Soukaena Hassan Hashim. "Proposed Network Intrusion Detection System ‎In Cloud Environment Based on Back ‎Propagation Neural Network." JOURNAL OF UNIVERSITY OF BABYLON for Pure and Applied Sciences 26, no. 1 (2017): 29–40. http://dx.doi.org/10.29196/jub.v26i1.351.

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Cloud computing is distributed architecture, providing computing facilities and storage resource as a service over the internet. This low-cost service fulfills the basic requirements of users. Because of the open nature and services introduced by cloud computing intruders impersonate legitimate users and misuse cloud resource and services. To detect intruders and suspicious activities in and around the cloud computing environment, intrusion detection system used to discover the illegitimate users and suspicious action by monitors different user activities on the network .this work proposed bas

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Dissertations / Theses on the topic "In-network computing"

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Barros, Bruno Medeiros de. "Security architecture for network virtualization in cloud computing." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-18012017-094453/.

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Network virtualization has been a quite active research area in the last years, aiming to tackle the increasing demand for high performance and secure communication in cloud infrastructures. In special, such research eforts have led to security solutions focused on improving isolation among multiple tenant of public clouds, an issue recognized as critical both by the academic community and by the technology Industry. More recently, the advent of Software-Defined Networks (SDN) and of Network Function Virtualization (NFV) introduced new concepts and techniques for addressing issues related to t

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Paraskelidis, Athanasios. "Wireless network segregation utilising modulo in industrial environments." Thesis, University of Portsmouth, 2010. https://researchportal.port.ac.uk/portal/en/theses/wireless-network-segregation-utilising-modulo-in-industrial-environments(ae94690a-560e-4f7b-93d8-130b4873de96).html.

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With the success of wireless technologies in consumer electronics, standard wireless technologies are envisioned for the deployment in industrial environments as well. Industrial applications involving mobile subsystems or just the desire to save cabling make wireless technologies attractive. In industrial environments, timing and reliability are well catered by the current wired technologies. When wireless links are included, reliability and timing requirements are significantly more difficult to meet, due to the common problems that influence them such as interference, multipath and attenuat

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Olsson, Eric J. "Literature survey on network concepts and measures to support research in network-centric operations." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Jun%5FOlsson.pdf.

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Zhou, You M. Eng Massachusetts Institute of Technology. "Computing network coordinates in the presence of Byzantine faults." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/46365.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Includes bibliographical references (p. 57-60).<br>Network coordinate systems allow for efficient construction of large-scale distributed systems on the Internet. Coordinates provide locality information in a compact way, without requiring each node to contact every potential neighbor; distances between two nodes' coordinates re

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Crellin, Kenneth Thomas. "Network time : synchronisation in real time distributed computing systems." Master's thesis, University of Cape Town, 1998. http://hdl.handle.net/11427/17933.

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In the past, network clock synchronization has been sufficient for the needs of traditional distributed systems, for such purposes as maintaining Network File Systems, enabling Internet mail services and supporting other applications that require a degree of clock synchronization. Increasingly real time systems arc requiring high degrees of time synchronization. Where this is required, the common approach up until now has been to distribute the clock to each processor by means of hardware (e.g. GPS and cesium clocks) or to distribute time by means of an additional dedicated timing network. Whi

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Mousa, Alzawi Mohamed. "Autonomic computing : using adaptive neural network in self-healing systems." Thesis, Liverpool John Moores University, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.571894.

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Self-management is the main objective of Autonomic Computing (AC), and it is needed to increase the running system's reliability, stability, and performance. Investigation some issues related to complex systems such as; self-awareness system, when and where an error state occurs, knowledge for system stabilization, analyze the problem, healing plan with different solutions for adaptation without the need for human intervention. This research work focuses on self-healing, which is the most important component of Autonomic Computing. Self-healing is a technique that has different phases, which a

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Tasiopoulos, A. "On the deployment of low latency network applications over third-party in-network computing resources." Thesis, University College London (University of London), 2018. http://discovery.ucl.ac.uk/10049954/.

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An increasing number of Low Latency Applications (LLAs) in the entertainment (Virtual/Augmented Reality), Internet-of-Things (IoT), and automotive domains require response times that challenge the traditional application provisioning process into distant data centres. At the same time, there is a trend in deploying In-Network Computing Resources (INCRs) closer to end users either in the form of network equipment, with capabilities of performing general-purpose computations, and/or in the form of commercial off-the-self “data centres in a box”, i.e., cloudlets, placed at different locations of

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Ju, Weiyu. "Mobile Deep Neural Network Inference in Edge Computing with Resource Restrictions." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/25038.

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Recent advances in deep neural networks (DNNs) have substantially improved the accuracy of intelligent applications. However, the pursuit of a higher accuracy has led to an increase in the complexity of DNNs, which inevitably increases the inference latency. For many time-sensitive mobile inferences, such a delay is intolerable and could be fatal in many real-world applications. To solve this problem, one effective scheme known as DNN partition is proposed, which significantly improves the inference latency by partitioning the DNN to a mobile device and an edge server to jointly process the in

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Nowshin, Fabiha. "Spiking Neural Network with Memristive Based Computing-In-Memory Circuits and Architecture." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/103854.

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In recent years neuromorphic computing systems have achieved a lot of success due to its ability to process data much faster and using much less power compared to traditional Von Neumann computing architectures. There are two main types of Artificial Neural Networks (ANNs), Feedforward Neural Network (FNN) and Recurrent Neural Network (RNN). In this thesis we first study the types of RNNs and then move on to Spiking Neural Networks (SNNs). SNNs are an improved version of ANNs that mimic biological neurons closely through the emission of spikes. This shows significant advantages in terms of pow

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Shafaatdoost, Mani. "Approaches to Provisioning Network Topology of Virtual Machines in Cloud Systems." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/784.

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The current infrastructure as a service (IaaS) cloud systems, allow users to load their own virtual machines. However, most of these systems do not provide users with an automatic mechanism to load a network topology of virtual machines. In order to specify and implement the network topology, we use software switches and routers as network elements. Before running a group of virtual machines, the user needs to set up the system once to specify a network topology of virtual machines. Then, given the user’s request for running a specific topology, our system loads the appropriate virtual machine

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Books on the topic "In-network computing"

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Sharma, Deepak Kumar, Koyel Datta Gupta, and Rinky Dwivedi. Green Computing in Network Security. CRC Press, 2021. http://dx.doi.org/10.1201/9781003097198.

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Thampi, Sabu M., Erol Gelenbe, Mohammed Atiquzzaman, Vipin Chaudhary, and Kuan-Ching Li, eds. Advances in Computing and Network Communications. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6977-1.

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Thampi, Sabu M., Erol Gelenbe, Mohammed Atiquzzaman, Vipin Chaudhary, and Kuan-Ching Li, eds. Advances in Computing and Network Communications. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6987-0.

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Das, Vinu V., and Janahanlal Stephen, eds. Advances in Communication, Network, and Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35615-5.

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Zhang, Yuchao, and Ke Xu. Network Management in Cloud and Edge Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0138-8.

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Schmeck, Hartmut, Theo Ungerer, and Lars Wolf, eds. Trends in Network and Pervasive Computing — ARCS 2002. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45997-9.

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Abawajy, Jemal H. Network and traffic engineering in emerging distributed computing applications. Information Science Reference, 2013.

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Kavian, Yousef S., and Mark Stephen Leeson. Resilient optical network design: Advances in fault-tolerant methodologies. Information Science Reference, 2012.

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1941-, Bradley Stephen P., and Nolan Richard L, eds. Sense & respond: Capturing value in the network era. Harvard Business School Press, 1998.

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Baeza-Yates, Ricardo, Ugo Montanari, and Nicola Santoro, eds. Foundations of Information Technology in the Era of Network and Mobile Computing. Springer US, 2002. http://dx.doi.org/10.1007/978-0-387-35608-2.

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Book chapters on the topic "In-network computing"

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Parker, J. D. "Synchronization in Network Protocols." In Workshops in Computing. Springer London, 1990. http://dx.doi.org/10.1007/978-1-4471-3534-0_17.

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Arsiwalla, Xerxes D., and Paul Verschure. "Computing Information Integration in Brain Networks." In Advances in Network Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28361-6_11.

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Gray, Paul, Alan Krantz, Soeren Olesen, and Vaidy Sunderam. "Advances in heterogeneous network computing." In Recent Advances in Parallel Virtual Machine and Message Passing Interface. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0056562.

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Dwivedi, Rinky, and Koyel Datta Gupta. "Green Computing at a Glance." In Green Computing in Network Security. CRC Press, 2021. http://dx.doi.org/10.1201/9781003097198-1.

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Monien, B., and H. Sudborough. "Embedding one Interconnection Network in Another." In Computing Supplementum. Springer Vienna, 1990. http://dx.doi.org/10.1007/978-3-7091-9076-0_13.

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Mayes, K. R., J. Bridgland, S. Quick, and A. Nisbet. "Network performance in arena." In High-Performance Computing and Networking. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61142-8_684.

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Nanda Kishore, M. S., S. K. V. Jayakumar, G. Satya Reddy, P. Dhavachelvan, D. Chandramohan, and N. P. Soumya Reddy. "Web Service Suitability Assessment for Cloud Computing." In Trends in Network and Communications. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22543-7_64.

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Dongarra, Jack, Piotr Luszczek, Felix Wolf, et al. "Systems Biology, Network Inference in." In Encyclopedia of Parallel Computing. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-09766-4_466.

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Chen, Yu, Kun Liu, and Ziqian Zhang. "Research on Network Optimization and Network Security in Power Wireless Private Network." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8462-6_153.

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Qi, Jiaju, and Long Zhao. "Data Center Network in Cloud Computing." In Encyclopedia of Wireless Networks. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-78262-1_322.

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Conference papers on the topic "In-network computing"

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Cinelis, Gintaris, and Kestutis Scevinskas. "Education of Professional Computing Competence in University." In eCAADe 2004: Architecture in the Network Society. eCAADe, 2004. http://dx.doi.org/10.52842/conf.ecaade.2004.459.

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Cinelis, Gintaris, and Kestutis Scevinskas. "Education of Professional Computing Competence in University." In eCAADe 2004: Architecture in the Network Society. eCAADe, 2004. http://dx.doi.org/10.52842/conf.ecaade.2004.459.

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Su´rez, Juan-Luis, Fernando Sancho Caparrini, and Javier de la Rosa Perez. "The Art-Space of a Global Community: The Network of Baroque Paintings in Hispanic-America." In 2011 Second International Conference on Culture and Computing (Culture Computing). IEEE, 2011. http://dx.doi.org/10.1109/culture-computing.2011.17.

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Nikolaou, Stefanos, Christos Anagnostopoulos, and Dimitrios Pezaros. "In-network Predictive Analytics in Edge Computing." In 2019 Wireless Days (WD). IEEE, 2019. http://dx.doi.org/10.1109/wd.2019.8734267.

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Gelernter, Ben. "Help design challenges in network computing." In the 16th annual international conference. ACM Press, 1998. http://dx.doi.org/10.1145/296336.296376.

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Jasti, Amarnath, Surya Mohapatra, Bhargav Potluri, and Ravi Pendse. "Cloud computing in Aircraft Data Network." In 2011 Integrated Communication, Navigation, Surveillance Conference (ICNS). IEEE, 2011. http://dx.doi.org/10.1109/icnsurv.2011.5935273.

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Sun, Xiaoping, Xiangfeng Luo, Jin Liu, Xiaorui Jiang, and Junsheng Zhang. "Semantics in Deep Neural-Network Computing." In 2015 11th International Conference on Semantics, Knowledge and Grids (SKG). IEEE, 2015. http://dx.doi.org/10.1109/skg.2015.42.

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Abdullah Antor, Md, Tasmin Jannat Tahsin, Minhas Abedin Sohan, and Syed Ahsanul Kabir. "High Performance Computing in Decentralized Network." In 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI). IEEE, 2022. http://dx.doi.org/10.1109/sti56238.2022.10103309.

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Badgett, Mel, and Eric W. Cigan. "Simulation in a Network Computing Environment." In 1989 American Control Conference. IEEE, 1989. http://dx.doi.org/10.23919/acc.1989.4790222.

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Duarte, Elias P. "Leveraging In-Network Computing with Network Function Virtualization: Keynote." In 2020 IEEE/ACS 17th International Conference on Computer Systems and Applications (AICCSA). IEEE, 2020. http://dx.doi.org/10.1109/aiccsa50499.2020.9316464.

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Reports on the topic "In-network computing"

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Sunderam, V. Enhancing functionality and performance in the PVM network computing system. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/285228.

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Sunderam, Vaidy. Enhancing Functionality and Performance in the PVM Network Computing System. Final project report. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/760872.

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Sunderam, V. Enhancing functionality and performance in the PVM network computing system. Period 1 progress report. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/93753.

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Renard, Kenneth D., James R. Feight, Michael Amabile, and James Adametz. High-Bandwidth Tactical-Network Data Analysis in a High-Performance-Computing (HPC) Environment: Introduction. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada622738.

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Renard, Kenneth D., Joseph D. Rivera, James R. Adametz, and Jordan R. Franssen. High-Bandwidth Tactical-Network Data Analysis in a High-Performance-Computing (HPC) Environment: Data Marshalling. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada621309.

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Panneton, Brian, Brendan Tauras, Christopher Wancowicz, and Sean Coyne. High-Bandwidth Tactical-Network Data Analysis in a High-Performance-Computing (HPC) Environment: Device Status Data. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada626790.

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Panneton, Brian, and James Adametz. High-Bandwidth Tactical-Network Data Analysis in a High-Performance-Computing (HPC) Environment: HPC Data Reduction Framework. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada626053.

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Beyeler, Walter Eugene, Thomas Frank, Jr Corbet, and Jacob A. Hobbs. A demand-driven, capacity-constrained, adaptive algorithm for computing steady-state and transient flows in a petroleum transportation network. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1055878.

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Valdez, Luis, Miltos Alamaniotis, and Alexander Heifetz. Anomaly Detection in Gamma Spectra Using Hopfield Neural Network with B-SAT and Grover’s Algorithm on a Quantum Computing Simulator. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1894587.

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Markova, Oksana, Serhiy Semerikov та Maiia Popel. СoCalc as a Learning Tool for Neural Network Simulation in the Special Course “Foundations of Mathematic Informatics”. Sun SITE Central Europe, 2018. http://dx.doi.org/10.31812/0564/2250.

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The role of neural network modeling in the learning сontent of special course “Foundations of Mathematic Informatics” was discussed. The course was developed for the students of technical universities – future IT-specialists and directed to breaking the gap between theoretic computer science and it’s applied applications: software, system and computing engineering. CoCalc was justified as a learning tool of mathematical informatics in general and neural network modeling in particular. The elements of technique of using CoCalc at studying topic “Neural network and pattern recognition” of the sp

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