Search Results - Internet-based task computing system*

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  1. 1

    An efficient task offloading strategy based on Aquila Student Psychology Optimization Algorithm in internet of vehicles‐fog computing systems by Lohat, Savita, Jain, Sheilza, Kumar, Rajender

    ISSN: 1074-5351, 1099-1131
    Published: Chichester Wiley Subscription Services, Inc 10.03.2024
    “… Besides, the mechanism of offloading the tasks to the fog nodes in terms of delay, computing power, and completion time remains still as an open concern…”
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    Journal Article
  2. 2

    On the competitiveness of scheduling dynamically injected tasks on processes prone to crashes and restarts by Georgiou, Chryssis, Kowalski, Dariusz R.

    ISSN: 0743-7315, 1096-0848
    Published: Elsevier Inc 01.10.2015
    “… Tasks are not known a priori to the processes. This problem abstracts todays Internet-based computations, such as Grid computing and cloud services, where tasks…”
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    Journal Article
  3. 3

    Joint QoS-aware and Cost-efficient Task Scheduling for Fog-Cloud Resources in a Volunteer Computing System by Hoseiny, Farooq, Azizi, Sadoon, Shojafar, Mohammad, Rahim Tafazolli

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 28.04.2021
    Published in arXiv.org (28.04.2021)
    “…Volunteer computing is an Internet-based distributed computing system in which volunteers share their extra available resources to manage large-scale tasks…”
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    Paper
  4. 4

    Task Scheduling in Cloud Computing based on Meta-heuristics: Review, Taxonomy, Open Challenges, and Future Trends by Houssein, Essam H., Gad, Ahmed G., Wazery, Yaser M., Suganthan, Ponnuthurai Nagaratnam

    ISSN: 2210-6502
    Published: Elsevier B.V 01.04.2021
    Published in Swarm and evolutionary computation (01.04.2021)
    “… Cloud computing is a recently looming-evoked paradigm, the aim of which is to provide on-demand, pay-as-you-go, internet-based access to shared computing resources…”
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    Journal Article
  5. 5

    Mayfly algorithm with elementary functions and mathematical spirals for task scheduling in cloud computing system by Sui, Xiao-Fei, Zhang, Si-Wen, Wang, Jie-Sheng, Zhang, Shi-Hui, Zhang, Yun-Hao, Bai, Xue-Lian

    ISSN: 1573-0484, 0920-8542, 1573-0484
    Published: New York Springer US 21.04.2025
    Published in The Journal of supercomputing (21.04.2025)
    “…As an Internet-based computing model, cloud computing realizes the elastic scaling and efficient utilization of resources by centralizing computing resources…”
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    Journal Article
  6. 6

    Adaptive Service Management in Mobile Cloud Computing by Means of Supervised and Reinforcement Learning by Nawrocki, Piotr, Sniezynski, Bartlomiej

    ISSN: 1064-7570, 1573-7705
    Published: New York Springer US 01.01.2018
    Published in Journal of network and systems management (01.01.2018)
    “…Since the concept of merging the capabilities of mobile devices and cloud computing is becoming increasingly popular, an important question is how to optimally schedule services/tasks between the device and the cloud…”
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    Journal Article
  7. 7

    Achieving Reliability and Fairness in Online Task Computing Environments by Christoforou, Evgenia

    Published: ProQuest Dissertations & Theses 01.01.2017
    “…) and crowdsourcing platforms such as Amazon Mechanical Turk. We model the computations as an Internet-based task computing system under the masterworker paradigm…”
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    Dissertation
  8. 8

    An enhancement of task scheduling in cloud computing based on imperialist competitive algorithm and firefly algorithm by Kashikolaei, Seyedeh Monireh Ggasemnezhad, Hosseinabadi, Ali Asghar Rahmani, Saemi, Behzad, Shareh, Morteza Babazadeh, Sangaiah, Arun Kumar, Bian, Gui-Bin

    ISSN: 0920-8542, 1573-0484
    Published: New York Springer US 01.08.2020
    Published in The Journal of supercomputing (01.08.2020)
    “…Cloud computing is an Internet-based approach in which all applications and files are hosted in a cloud consisting of thousands of computers that are linked in complex ways…”
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    Journal Article
  9. 9

    Safe DQN-Based AoI-Minimal Task Offloading for UAV-Aided Edge Computing System by Zhao, Hui, Lu, Gengyuan, Liu, Ying, Chang, Zheng, Wang, Li, Hamalainen, Timo

    ISSN: 2327-4662, 2327-4662
    Published: Piscataway IEEE 01.10.2024
    Published in IEEE internet of things journal (01.10.2024)
    “… In this article, we investigate the problem of task offloading in an UAV-aided wireless powered edge computing system with a focus on enhancing information freshness while ensuring the UAV's energy…”
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    Journal Article
  10. 10

    Towards sustainable smart cities: Workflow scheduling in cloud of health things (CoHT) using deep reinforcement learning and moth flame optimization for edge–cloud systems by Khaleel, Mustafa Ibrahim

    ISSN: 0167-739X
    Published: Elsevier B.V 01.09.2025
    Published in Future generation computer systems (01.09.2025)
    “…) demands, servers face the challenge of efficiently distributing limited virtual machines across internet-based applications…”
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    Journal Article
  11. 11

    Delay-Sensitive Task Offloading in the 802.11p-Based Vehicular Fog Computing Systems by Wu, Qiong, Liu, Hanxu, Wang, Ruhai, Fan, Pingyi, Fan, Qiang, Li, Zhengquan

    ISSN: 2327-4662, 2327-4662
    Published: Piscataway IEEE 01.01.2020
    Published in IEEE internet of things journal (01.01.2020)
    “… Furthermore, the long-term reward of the system (i.e., jointly considers the transmission delay, computing delay, available resources, and diversity of vehicles and tasks…”
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    Journal Article
  12. 12

    Cooperative UAV Resource Allocation and Task Offloading in Hierarchical Aerial Computing Systems: A MAPPO-Based Approach by Kang, Hongyue, Chang, Xiaolin, Misic, Jelena, Misic, Vojislav B., Fan, Junchao, Liu, Yating

    ISSN: 2327-4662, 2327-4662
    Published: Piscataway IEEE 15.06.2023
    Published in IEEE internet of things journal (15.06.2023)
    “…This article investigates a hierarchical aerial computing system, where both high-altitude platforms (HAPs…”
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    Journal Article
  13. 13

    LR-HIDS: logistic regression host-based intrusion detection system for cloud environments by Besharati, Elham, Naderan, Marjan, Namjoo, Ehsan

    ISSN: 1868-5137, 1868-5145
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2019
    “…Cloud computing is an Internet based computing environment, where storage and computing resources are assigned dynamically among users according to their needs, using the virtualization technology…”
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    Journal Article
  14. 14

    A Novel approach towards Implicit Authentication System by using Multi-share visual key Cryptography Mechanism by Gadicha, Ajay B., Gadicha, Vijay B, Obaid, Ahmed J.

    ISSN: 1742-6588, 1742-6596
    Published: Bristol IOP Publishing 01.07.2021
    Published in Journal of physics. Conference series (01.07.2021)
    “…Currently huge amount of data used to stored, extracted and transacted via various stand alone and internet based applications…”
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    Journal Article
  15. 15

    Toward Privacy-Aware Task Allocation in Social Sensing-Based Edge Computing Systems by Zhang, Daniel, Ma, Yue, Sharon Hu, Xiaobo, Wang, Dong

    ISSN: 2327-4662, 2327-4662
    Published: Piscataway IEEE 01.12.2020
    Published in IEEE internet of things journal (01.12.2020)
    “… This article focuses on a privacy-aware task allocation problem where the goal is to optimize the computation task allocation in SSEC systems while respecting the users' customized privacy settings…”
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    Journal Article
  16. 16

    Secure and ubiquitous authenticated content distribution framework for IoT enabled DRM system by Rana, Saurabh, Mishra, Dheerendra

    ISSN: 1380-7501, 1573-7721
    Published: New York Springer US 01.07.2020
    Published in Multimedia tools and applications (01.07.2020)
    “… To address concerns of security, efficiency and privacy over internet-based networks, we design a content key distribution framework for DRM systems…”
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    Journal Article
  17. 17

    Using the Landsat archive to map crop cover history across the United States by Johnson, David M.

    ISSN: 0034-4257, 1879-0704
    Published: New York Elsevier Inc 01.10.2019
    Published in Remote sensing of environment (01.10.2019)
    “… them. However, the ability to do so has only been applied sporadically and eluded widespread adoption due to cost of the imagery, burdensome preprocessing requirements, and computing not being up to the task…”
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    Journal Article
  18. 18

    Hybrid Workload Enabled and Secure Healthcare Monitoring Sensing Framework in Distributed Fog-Cloud Network by Lakhan, Abdullah, Mastoi, Qurat-ul-ain, Dootio, Mazhar Ali, Alqahtani, Fehaid, Alzahrani, Ibrahim R., Baothman, Fatmah, Shah, Syed Yaseen, Shah, Syed Aziz, Anjum, Nadeem, Abbasi, Qammer Hussain, Khokhar, Muhammad Saddam

    ISSN: 2079-9292, 2079-9292
    Published: Basel MDPI AG 17.08.2021
    Published in Electronics (Basel) (17.08.2021)
    “… These internet-based applications can run on the distributed healthcare sensing system, which combines mobile computing, edge computing and cloud computing…”
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    Journal Article
  19. 19

    Identifying business information through deep learning: analyzing the tender documents of an Internet-based logistics bidding platform by Yu, Ying, Ma, Jing

    ISSN: 2514-9288, 2514-9318, 2514-9288
    Published: Bingley Emerald Publishing Limited 29.01.2024
    Published in Data technologies and applications (29.01.2024)
    “…PurposeThe tender documents, an essential data source for internet-based logistics tendering platforms, incorporate massive fine-grained data, ranging from information on tenderee, shipping location and shipping items…”
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    Journal Article
  20. 20

    Differential Pricing-Based Task Offloading for Delay-Sensitive IoT Applications in Mobile Edge Computing System by Seo, Hyeonseok, Oh, Hyeontaek, Choi, Jun Kyun, Park, Sangdon

    ISSN: 2327-4662, 2327-4662
    Published: Piscataway IEEE 01.10.2022
    Published in IEEE internet of things journal (01.10.2022)
    “… In this manner, mobile-edge computing (MEC) has emerged as a promising technology to run these applications on mobile devices…”
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    Journal Article