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International Journal of Applied Mathematics and Computer Science, 2023 It is a hot topic to investigate resource allocation in fog computing. However, currently resource allocation in fog computing mostly supports only fixed resources, that is, the resource requirements of users are satisfied with a fixed amount of ...
Li Shiyong +3 more
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IEEE Access, 2019 The latest research of network and computing contributes greatly to the development of vehicular networks. However, in existing works, these two important enabling technologies are studied separately.
Yaping Cui, Yingjie Liang, Ruyan Wang
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Offloading Optimization for Low-Latency Secure Mobile Edge Computing Systems [PDF]
, 2020 This paper proposes a low-latency secure mobile edge computing (MEC) system where multiple users offload computing tasks to a base station in the presence of an eavesdropper.
Elkashlan, Maged +7 more
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International Journal of Mathematical, Engineering and Management Sciences, 2022 One of the most promising frameworks is the fog computing paradigm for time-sensitive applications such as IoT (Internet of Things). Though it is an extended type of computing paradigm, which is mainly used to support cloud computing for executing ...
Sandip Kumar Patel, Ritesh Patel
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Resource allocation and scheduling of multiple composite web services in cloud computing using cooperative coevolution genetic algorithm [PDF]
, 2011 In cloud computing, resource allocation and scheduling of multiple composite web services is an important and challenging problem. This is especially so in a hybrid cloud where there may be some low-cost resources available from private clouds and some ...
Ai, Lifeng, Fidge, Colin, Tang, Maolin
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Journal of King Saud University: Computer and Information Sciences, 2020 Cloud computing is a hybrid paradigm which makes use of utility computing, high performance cluster computing and grid computing and it offers various benefits such as flexibility, expandability, little or almost no capital investment, disaster recovery,
Bela Shrimali, Hiren Patel
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Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing [PDF]
, 2016 The availability of many-core computing platforms enables a wide variety of technical solutions for systems across the embedded, high-performance and cloud computing domains. However, large scale manycore systems are notoriously hard to optimise. Choices
Dziurzanski, Piotr +2 more
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A Reinforcement Learning-Based Resource Allocation Scheme for Cloud Robotics
IEEE Access, 2018 In recent years, robotic systems combined with cloud computing capability have become an emerging topic of discussion in academic fields. The concept of cloud robotics allows the system to offload computing-intensive tasks from the robots to the cloud ...
Hang Liu, Shiwen Liu, Kan Zheng
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Joint Task Offloading and Resource Allocation for Multi-Task Multi-Server NOMA-MEC Networks
IEEE Access, 2021 By offloading computationally intensive tasks of smart end devices to edge servers deployed at the edge of the network, mobile edge computing (MEC) has become a promising technology to provide computing services for Internet of Things (IoT) devices.
Jianbin Xue, Yaning An
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Dominant Resource Fairness in Cloud Computing Systems with Heterogeneous Servers [PDF]
, 2013 We study the multi-resource allocation problem in cloud computing systems where the resource pool is constructed from a large number of heterogeneous servers, representing different points in the configuration space of resources such as processing ...
Li, Baochun, Liang, Ben, Wang, Wei
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