Academic literature on the topic 'Offloading'

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Journal articles on the topic "Offloading"

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Hu, Heng-Cheng, and Pi-Chung Wang. "Computation Offloading Game for Multi-Channel Wireless Sensor Networks." Sensors 22, no. 22 (2022): 8718. http://dx.doi.org/10.3390/s22228718.

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Computation offloading for wireless sensor devices is critical to improve energy efficiency and maintain service delay requirements. However, simultaneous offloadings may cause high interferences to decrease the upload rate and cause additional transmission delay. It is thus intuitive to distribute wireless sensor devices in different channels, but the problem of multi-channel computation offloading is NP-hard. In order to solve this problem efficiently, we formulate the computation offloading decision problem as a decision-making game. Then, we apply the game theory to address the problem of
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Liu, Jun, Xiaohui Lian, and Chang Liu. "Research on Task-Oriented Computation Offloading Decision in Space-Air-Ground Integrated Network." Future Internet 13, no. 5 (2021): 128. http://dx.doi.org/10.3390/fi13050128.

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In Space–Air–Ground Integrated Networks (SAGIN), computation offloading technology is a new way to improve the processing efficiency of node tasks and improve the limitation of computing storage resources. To solve the problem of large delay and energy consumption cost of task computation offloading, which caused by the complex and variable network offloading environment and a large amount of offloading tasks, a computation offloading decision scheme based on Markov and Deep Q Networks (DQN) is proposed. First, we select the optimal offloading network based on the characteristics of the moveme
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Zhang, Rui, Libing Wu, Shuqin Cao, et al. "Task Offloading with Task Classification and Offloading Nodes Selection for MEC-Enabled IoV." ACM Transactions on Internet Technology 22, no. 2 (2022): 1–24. http://dx.doi.org/10.1145/3475871.

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The Mobile Edge Computing (MEC)-based task offloading in the Internet of Vehicles (IoV) scenario, which transfers computational tasks to mobile edge nodes and fixed edge nodes with available computing resources, has attracted interest in recent years. The MEC-based task offloading can achieve low latency and low operational cost under the tasks delay constraints. However, most existing research generally focuses on how to divide and migrate these tasks to the other devices. This research ignores delay constraints and offloading node selection for different tasks. In this article, we design the
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Amit Kumar C Jain and Apoorva HC. "Usage of Therapeutic Offloading In Diabetic Foot- A Clinical Audit." IAR Journal of Medicine and Surgery Research 2, no. 3 (2021): 1–5. http://dx.doi.org/10.47310/iarjmsr.2021.v02i03.01.

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Aim- To assess the usage of therapeutic offloading in diabetic foot patients in an expert diabetic foot centre and distribute them according to Amit Jain’s classification for offloading. Methods and materials- A retrospective audit was conducted at Amit Jain’s diabetic foot offloading clinic which is now an eponymous wing under Amit Jain’s Institute of Diabetic Foot and Wound Care, Brindhavvan Areion Hospital, Bengaluru, Karnataka, India. The audit was over one year period from July 2019 to June 2020. Results – There were 34 patients in whom offloading was used during this period. Majority was
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Zou, Jing, Zhaoxiang Yuan, Peizhe Xin, et al. "Privacy-Friendly Task Offloading for Smart Grid in 6G Satellite–Terrestrial Edge Computing Networks." Electronics 12, no. 16 (2023): 3484. http://dx.doi.org/10.3390/electronics12163484.

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Through offloading computing tasks to visible satellites for execution, the satellite edge computing architecture effectively issues the high-delay problem in remote grids (e.g., mountain and desert) when tasks are offloaded to the urban terrestrial cloud (TC). However, existing works are usually limited to offloading tasks in pure satellite networks and make offloading decisions based on the predefined models. Additionally, runtime consumption for offloading decisions is rather high. Furthermore, privacy information may be maliciously sniffed since computing tasks are transmitted via vulnerab
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Quan, Wei, Kai Wang, Yana Liu, Nan Cheng, Hongke Zhang, and Xuemin (Sherman) Shen. "Software-Defined Collaborative Offloading for Heterogeneous Vehicular Networks." Wireless Communications and Mobile Computing 2018 (2018): 1–9. http://dx.doi.org/10.1155/2018/3810350.

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Vehicle-assisted data offloading is envisioned to significantly alleviate the problem of explosive growth of mobile data traffic. However, due to the high mobility of vehicles and the frequent disruption of communication links, it is very challenging to efficiently optimize collaborative offloading from a group of vehicles. In this paper, we leverage the concept of Software-Defined Networking (SDN) and propose a software-defined collaborative offloading (SDCO) solution for heterogeneous vehicular networks. In particular, SDCO can efficiently manage the offloading nodes and paths based on a cen
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Liu, Bin, Qi Zhu, Weiqiang Tan, and Hongbo Zhu. "Congestion-Optimal WiFi Offloading with User Mobility Management in Smart Communications." Wireless Communications and Mobile Computing 2018 (August 1, 2018): 1–15. http://dx.doi.org/10.1155/2018/9297536.

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We study the WiFi offloading problem in smart communications and adaptively seek for the optimal offloading strategies with the consideration of the mobility management and the dynamical nature of network state. With users mobility management, we formulate the offloading ratio optimization problem based on Markov process. Then, we propose a novel Congestion-Optimal WiFi Offloading (COWO) algorithm based on subgradient method, which aims to obtain the optimal offloading ratio for each access point (AP) to maximize the throughput and minimize the network congestion. Due to the computational comp
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Grinschgl, Sandra, Frank Papenmeier, and Hauke S. Meyerhoff. "Consequences of cognitive offloading: Boosting performance but diminishing memory." Quarterly Journal of Experimental Psychology 74, no. 9 (2021): 1477–96. http://dx.doi.org/10.1177/17470218211008060.

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Modern technical tools such as tablets allow for the temporal externalisation of working memory processes (i.e., cognitive offloading). Although such externalisations support immediate performance on different tasks, little is known about potential long-term consequences of offloading behaviour. In the current set of experiments, we studied the relationship between cognitive offloading and subsequent memory for the offloaded information as well as the interplay of this relationship with the goal to acquire new memory representations. Our participants solved the Pattern Copy Task, in which we m
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Bai, Wenle, Zhongjun Yang, Jianhong Zhang, and Rajiv Kumar. "Randomization-Based Dynamic Programming Offloading Algorithm for Mobile Fog Computing." Security and Communication Networks 2021 (August 30, 2021): 1–9. http://dx.doi.org/10.1155/2021/4348511.

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Offloading to fog servers makes it possible to process heavy computational load tasks in local devices. However, since the generation problem of offloading decisions is an N-P problem, it cannot be solved optimally or traditionally, especially in multitask offloading scenarios. Hence, this paper has proposed a randomization-based dynamic programming offloading algorithm, based on genetic optimization theory, to solve the offloading decision generation problem in mobile fog computing. The algorithm innovatively designs a dynamic programming table-filling approach, i.e., iteratively generates a
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Dunlap, Leslie J., Eric Lew, Regina Gallegos, Richard Murdoch, and Simone Mulvihill. "Management of Diabetic Foot Ulcers with Two Forefoot Offloading Techniques: Case Series." Advances in Skin & Wound Care 37, no. 8 (2024): 434–39. http://dx.doi.org/10.1097/asw.0000000000000178.

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ABSTRACT Offloading is a key principle to healing diabetic foot ulcers. Nonremovable knee-high offloading devices are considered the criterion standard for offloading plantar forefoot ulcers. However, patients exhibit a limited tolerance for these devices, which contributes to a lack of use. In this case series describing two patients, the authors share two alternative offloading modalities for the treatment of diabetic plantar forefoot ulcers. One patient was managed using a football offloading dressing, and the other was managed with a modified felted football dressing. The football and modi
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Dissertations / Theses on the topic "Offloading"

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Besset, Pierre. "Automatic control of a marine loading arm for offshore LNG offloading offloading." Thesis, Paris, ENSAM, 2017. http://www.theses.fr/2017ENAM0011/document.

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Un bras de chargement de gaz est une structure articulée dans laquelle du méthane peut s’écouler à température cryogénique. En haute mer, ces bras sont installés sur le pont de navires-usines et se connectent à des méthaniers pour leur transférer du gaz. En raison de problèmes de sécurité et de performances, il est souhaité que le bras de chargement soit robotisé pour qu’il se connecte automatiquement. Cette thèse a pour objectif l‘automatisation de la connexion. Cette opération nécessite un pilotage de grande précision vis à vie de la taille du bras. Pour cette raison le bras est d’abord étal
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Mora, Alessio. "Mobile Computation Offloading on Android: Evaluation of Sockets and Native Code Offloading Opportunities." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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In questa tesi, ULOOF (User Level Online Offloading Framework), un originale framework per offloading dedicato ad applicazioni Android, viene dettagliatamente presentato. L’ambizione di tale framework è quella di essere leggero, poco intrusivo e completamente automatizzato, in grado di abilitare qualsiasi applicazione Android, così come è quando viene scaricata dal Google Play Store, ad usufruire dell’offloading, senza nessuna conoscenza pregressa riguardo l’applicazione stessa. Attualmente, ULOOF riesce a fare ciò sulla maggior parte delle applicazioni disponibili
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Andersson, Jan-Olof. "Offloading INTCollector Events with P4." Thesis, Karlstads universitet, Institutionen för matematik och datavetenskap (from 2013), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-74508.

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In-Band Network Telemetry (INT) is a new technique in the area of Software-defined networking (SDN) for monitoring SDN enabled networks. INT monitoring provides fine-grained INT data with less load on the control plane since monitoring is done directly at the data plane. The collected INT data is added as packet headers "In-band" at each INT device along the flow path. The INT data is later composed into telemetry packets which are sent to a collector that is responsible for processing the INT data. The collector of the INT data needs to have good performance since there is a large amount of d
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Wang, Qiushi [Verfasser]. "Restart in Mobile Offloading / Qiushi Wang." Berlin : Freie Universität Berlin, 2015. http://d-nb.info/1079525416/34.

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Pamboris, Andreas. "Mobile code offloading for multiple resources." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/21217.

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Mobile devices are becoming pervasive, yet a persistent gap in hardware capabilities still separates them from desktop machines. To bridge this gap, recent research has turned to cloud-assisted execution as a way of leveraging remote resources to enhance application performance. Code-offloading systems automatically partition applications across resource-constrained devices and more powerful remote nodes to improve execution. Existing approaches, however, only focus on compute resources, ignoring memory and network limitations in mobile environments. In doing so, they prevent mobile applicatio
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Langlet, Jonatan. "Offloading Virtual Network Functions – Hierarchical Approach." Thesis, Karlstads universitet, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-79090.

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Next generation mobile networks are designed to run in a virtualized environment, enabling rapid infrastructure deployment and high flexibility for coping with increasing traffic demands and new service requirements. Such network function virtualization imposes additional packet latencies and potential bottlenecks not present in legacy network equipment when run on dedicated hardware; such bottlenecks include PCIe transfer delays, virtualization overhead, and utilizing commodity server hardware which is not optimized for packet processing operations.Through recent developments in P4 programmab
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Miliotis, Vasileios. "Energy efficient offloading techniques for heterogeneous networks." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/457139.

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Mobile data offloading has been proposed as a solution for the network congestion problem that is continuously aggravating due to the increase in mobile data demand. The concept of offloading refers to the exploitation of network heterogeneity with the objective to mitigate the load of the cellular network infrastructure. In this thesis a multicast protocol for short range networks that exploits the characteristics of physical layer network coding is presented. In the proposed protocol, named CooPNC, a novel cooperative approach is provided that allows collision resolutions with the use of an
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Montero, Banegas Diego. "Novel architectures and strategies for security offloading." Doctoral thesis, Universitat Politècnica de Catalunya, 2017. http://hdl.handle.net/10803/461677.

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Internet has become an indispensable and powerful tool in our modern society. Its ubiquitousness, pervasiveness and applicability have fostered paradigm changes around many aspects of our lives. This phenomena has positioned the network and its services as fundamental assets over which we rely and trust. However, Internet is far from being perfect. It has considerable security issues and vulnerabilities that jeopardize its main core functionalities with negative impact over its players. Furthermore, these vulnerabilities¿ complexities have been amplified along with the evolution of Internet us
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Trakas, Panagiotis. "Traffic offloading in future, heterogeneous mobile networks." Doctoral thesis, Universitat Politècnica de Catalunya, 2019. http://hdl.handle.net/10803/667122.

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The rise of third-party content providers and the introduction of numerous applications has been driving the growth of mobile data traffic in the past few years. In order to tackle this challenge, Mobile Network Operators (MNOs) aim to increase their networks' capacity by expanding their infrastructure, deploying more Base Stations (BSs). Particularly, the creation of Heterogeneous Networks (HetNets) and the application of traffic offloading through the dense deployment of low-power BSs, the small cells (SCs), is one promising solution to address the aforementioned explosive data traffic incre
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Costa, Philipp Bernardino. "An approach for Mobile Multiplatform Offloading System." Universidade Federal do CearÃ, 2014. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=13884.

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FundaÃÃo Cearense de Apoio ao Desenvolvimento Cientifico e TecnolÃgico<br>Os dispositivos mÃveis, especificamente os smartphones e os tablets, evoluÃram bastante em termos computacionais nos Ãltimos anos, e estÃo cada vez mais presentes no cotidiano das pessoas. Apesar dos avanÃos tecnolÃgicos, a principal limitaÃÃo desses dispositivos està relacionada com a questÃo energÃtica e com seu baixo desempenho computacional, quando comparado com um notebook ou computador de mesa. Com base nesse contexto, surgiu o paradigma do Mobile Cloud Computing (MCC), o qual estuda formas de estender os recursos
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Books on the topic "Offloading"

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Butterline, Mark A. From mainframe to workstations: Offloading application development. QED Pub. Group, 1992.

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Chen, Ying, Ning Zhang, Yuan Wu, and Sherman Shen. Energy Efficient Computation Offloading in Mobile Edge Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16822-2.

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Wu, Yuan, Li Ping Qian, Jianwei Huang, and Xuemin Shen. Radio Resource Management for Mobile Traffic Offloading in Heterogeneous Cellular Networks. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51037-8.

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Shipping, American Bureau of. Guide for building and classing floating production, storage, and offloading systems. American Bureau of Shipping, 1996.

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K, Kokula Krishna Hari, and K. Saravanan, eds. Task Offloading to the Cloud by Using Cuckoo Model for Minimizing Energy Cost. Association of Scientists, Developers and Faculties, 2016.

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Price, James M. Oil-spill risk analysis: Use of floating production, storage, and offloading (FPSO) systems in the Gulf of Mexico. U.S. Dept. of the Interior, Minerals Management Service, Environmental Division, 2000.

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B, Regg James, United States. Minerals Management Service. Gulf of Mexico OCS Region., and DeepStar (Consortium), eds. Floating production, storage, and offloading systems in the Gulf of Mexico: Proceedings of a workshop, Houston, April 16, 1997. U.S. Dept. of the Interior, Minerals Management Service, Gulf of Mexico OCS Region, 1998.

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B, Regg James, United States. Minerals Management Service. Gulf of Mexico OCS Region., and DeepStar (Consortium), eds. Floating production, storage, and offloading systems in the Gulf of Mexico: Proceedings of a workshop, Houston, April 16, 1997. U.S. Dept. of the Interior, Minerals Management Service, Gulf of Mexico OCS Region, 1998.

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MMS DeepStar Floating Systems Workshop (1997 Houston, Tex.). Floating production, storage, and offloading systems in the Gulf of Mexico: Proceedings of a workshop, Houston, April 16, 1997. U.S. Dept. of the Interior, Minerals Management Service, Gulf of Mexico OCS Region, 1998.

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Butterline, Mark A. From Mainframe to Workstations: Offloading Application Development. Wiley & Sons, Incorporated, John, 1992.

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Book chapters on the topic "Offloading"

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Hochlenert, Dirk, Gerald Engels, Stephan Morbach, Stefanie Schliwa, and Frances L. Game. "Internal Offloading." In Diabetic Foot Syndrome. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92055-9_20.

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Greschik, Gyula. "Gravity Offloading." In Testing Large Ultra-Lightweight Spacecraft. American Institute of Aeronautics and Astronautics, Inc., 2017. http://dx.doi.org/10.2514/5.9781624104657.0039.0084.

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Beadnall, Stuart. "FPSO offloading." In Offshore Floating Production. Informa Law from Routledge, 2022. http://dx.doi.org/10.4324/9781003243861-7.

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Sneed, Harry M. "Software-Offloading." In Softwarewartung und Reengineering. Deutscher Universitätsverlag, 1996. http://dx.doi.org/10.1007/978-3-663-08951-3_1.

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Osborne, Kerry, Randy Johnson, and Tanel Pöder. "Offloading / Smart Scan." In Expert Oracle Exadata. Apress, 2011. http://dx.doi.org/10.1007/978-1-4302-3393-0_2.

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Filipiak, Janusz. "Congestion Offloading Procedure." In Modelling and Control of Dynamic Flows in Communication Networks. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83205-5_11.

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Bach, Martin, Karl Arao, Andy Colvin, et al. "Offloading / Smart Scan." In Expert Oracle Exadata. Apress, 2015. http://dx.doi.org/10.1007/978-1-4302-6242-8_2.

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Patel, Atmn, and Johannes Doerfert. "Remote OpenMP Offloading." In Lecture Notes in Computer Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07312-0_16.

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Zhai, Yanlong, Muhammad Mudassar, and Liehuang Zhu. "Privacy Preserving Offloading." In SpringerBriefs in Computer Science. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-6998-8_4.

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Zhang, Yan. "Mobile Edge Computing." In Simula SpringerBriefs on Computing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83944-4_2.

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AbstractMobile edge computing is a promising paradigm that brings computing resources to mobile users at the network edge, allowing computing-intensive and delay-sensitive applications to be quickly processed by edge servers to satisfy the requirements of mobile users. In this chapter, we first introduce a hierarchical architecture of mobile edge computing that consists of a cloud plane, an edge plane, and a user plane. We then introduce three typical computation offloading decisions. Finally, we review state-of-the-art works on computation offloading and present the use case of joint computat
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Conference papers on the topic "Offloading"

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Ebrahimi, Alireza, and Fatemeh Afghah. "Intelligent Task Offloading: Advanced MEC Task Offloading and Resource Management in 5G Networks." In 2025 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2025. https://doi.org/10.1109/wcnc61545.2025.10978559.

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Puligheddu, Corrado, Nancy Varshney, Tanzil Hassan, Jonathan Ashdown, Francesco Restuccia, and Carla Fabiana Chiasserini. "OffloaDNN: Shaping DNNs for Scalable Offloading of Computer Vision Tasks at the Edge." In 2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS). IEEE, 2024. http://dx.doi.org/10.1109/icdcs60910.2024.00064.

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Chen, Haibo, Torgeir Moan, Arve Lerstad, and Ka˚re Breivik. "Analysis of Oil Spill Risk in DP Shuttle Tanker Direct Offloading Operations." In ASME 2011 30th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2011. http://dx.doi.org/10.1115/omae2011-50344.

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DP shuttle tankers performing offloading directly from fixed or geostationary floating offshore installations is addressed in this paper. It is important to ensure that disconnection of offloading hose can be achieved in time given shuttle tanker DP failure and position loss. The accident scenario is the hose fail-to-disconnect while shuttle tanker has an excessive position excursion. The consequence can be oil spill combined with the damage the offloading system. The spill amount can be as much as the crude oil volume in the hose, or over 1000 m3 if isolation and shutdown of oil export pump o
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Saito, Shogo, Kei Fujimoto, and Akinori Shiraga. "Low-latency remote-offloading system for accelerator offloading." In 2023 26th Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN). IEEE, 2023. http://dx.doi.org/10.1109/icin56760.2023.10073506.

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Li, Yangqianhang, and Li Li. "Computation Offloading and Resource Allocation in MEC-enabled Vehicular Networks: Partial Offloading Versus Binary Offloading." In 2024 7th World Conference on Computing and Communication Technologies (WCCCT). IEEE, 2024. http://dx.doi.org/10.1109/wccct60665.2024.10541511.

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Dandapat, Sourav Kumar, Swadhin Pradhan, and Niloy Ganguly. "Offloading cellular traffic." In the 5th IBM Collaborative Academia Research Exchange Workshop. ACM Press, 2013. http://dx.doi.org/10.1145/2528228.2528233.

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Lee, Kyunghan, Injong Rhee, Joohyun Lee, Song Chong, and Yung Yi. "Mobile data offloading." In the 6th International COnference. ACM Press, 2010. http://dx.doi.org/10.1145/1921168.1921203.

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Flores Macario, Huber Raul, and Satish Srirama. "Mobile code offloading." In Proceeding of the 11th annual international conference. ACM Press, 2013. http://dx.doi.org/10.1145/2462456.2465722.

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Pozza, Matteo, Claudio Enrico Palazzi, and Armir Bujari. "Mobile Data Offloading." In MobiCom'15: The 21th Annual International Conference on Mobile Computing and Networking. ACM, 2015. http://dx.doi.org/10.1145/2795381.2795394.

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Lee, Kyunghan, Injong Rhee, Joohyun Lee, Yung Yi, and Song Chong. "Mobile data offloading." In the ACM SIGCOMM 2010 conference. ACM Press, 2010. http://dx.doi.org/10.1145/1851182.1851244.

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Reports on the topic "Offloading"

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Dermer, John Walter, Gustavo De Leon, and Tyler Sean Rau. Investigating Hardware Offloading for Reed-Solomon Encoding. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1374285.

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May, Joel. Upgrades to ISEFlow: Offloading ARP and supporting IPv6. Iowa State University, 2019. http://dx.doi.org/10.31274/cc-20240624-1539.

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Goldstein, Justin, Charles Hammock, Ralph Liu, Jacob Janz, Clyburn Cunningham, and Mitchell Rimerman. Offloading Calculations to Computational Storage Devices: Spark and HDFS. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1813800.

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Suresh Kumar, Karthika. Cognitive Offloading and Learning: Enhancing Memory Retention through ChatGPT Integration. Iowa State University, 2023. http://dx.doi.org/10.31274/cc-20240624-379.

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Ray, James, David Hyde, Dustin Brown, Melissa Pham, Ronald Smith, and Naveen Ganesh. Pier Structural Analysis Tool : user's manual. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49717.

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This report documents the development of a rapid structural load-capacity assessment capability for ship docking and offloading structures (i.e., piers) and automation of the assessment technique into a user-friendly personal computer–based tool referred to herein as the Pier Analysis Tool (PAT). This capability provides a quick first-cut assessment of the load-bearing capacity of pier structures in terms of maximum allowable ship mooring loads and allowable weights for typical commercial and military vehicles and equipment associated with military discharge operations. The report covers the t
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