Journal ArticleDOI
Optimized data storage algorithm of IoT based on cloud computing in distributed system
Mingzhe Wang,Qiuliang Zhang +1 more
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TLDR
Compared with the traditional hash algorithm, optimization algorithm proposed in the paper greatly improves file upload and download efficiency, data processing efficiency and fault tolerance rate, which fully demonstrates that the proposed cloud computing data access storage optimization algorithm is more superior.About:
This article is published in Computer Communications.The article was published on 2020-05-01. It has received 32 citations till now. The article focuses on the topics: Cloud storage & Cloud computing.read more
Citations
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Journal ArticleDOI
Big data and IoT-based applications in smart environments: A systematic review
TL;DR: The results indicate that the integration of big data and IoT technologies creates exciting opportunities for real-world smart environment applications for monitoring, protection, and improvement of natural resources.
Journal ArticleDOI
IoT and Cloud Computing Issues, Challenges and Opportunities: A Review
Mohammed A. M. Sadeeq,Nasiba M. Abdulkareem,Subhi R. M. Zeebaree,Dindar Mikaeel Ahmed,Ahmed Saifullah Sami,Rizgar R. Zebari +5 more
TL;DR: IoT and cloud computing are researched and addressed and cloud-compatible problems and computing techniques are addressed to promote the stable transition of IoT programs to the cloud.
State of data platforms for connected vehicles and infrastructures
TL;DR: In this article, the authors weigh the problems that these products address, and identify necessary gaps for a more cohesive platform to exist, and propose potential design considerations for a data platform, along with application benefits that would enable users to make more informed and holistic decisions about current mobility options.
Journal ArticleDOI
Task scheduling algorithms for energy optimization in cloud environment: a comprehensive review
TL;DR: A comparative analysis of 67 scheduling methods in the cloud system to minimize energy consumption during task scheduling allows the reader to choose the right scheduling algorithm that optimizes energy properly, given the existing problems and limitations.
Journal ArticleDOI
Blockchain-Based Data Storage With Privacy and Authentication in Internet of Things
TL;DR: In this article , a blockchain-based decentralized framework integrated with authentication and privacy-preserving schemes is developed for the secure communication in WSNs-enabled IoTs, which is employed for the communication with sensor nodes and base station (BS) in a cloud computing environment.
References
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Proceedings ArticleDOI
QSplat: a multiresolution point rendering system for large meshes
Szymon Rusinkiewicz,Marc Levoy +1 more
TL;DR: This work describes a system for representing and progressively displaying meshes that combines a multiresolution hierarchy based on bounding spheres with a rendering system based on points, which is suitable for large data sets.
Proceedings ArticleDOI
An adaptive hybrid elasticity controller for cloud infrastructures
TL;DR: This paper focuses on horizontal elasticity, the ability of the infrastructure to add or remove virtual machines allocated to a service deployed in the cloud, and builds two adaptive proactive controllers that estimate the future load on a service using queuing theory.
Journal ArticleDOI
Fair Resource Allocation in an Intrusion-Detection System for Edge Computing: Ensuring the Security of Internet of Things Devices
TL;DR: This article studies IDS architecture and resource allocation in edge computing, and a multilayer resource allocation scheme is used to cope with the multiple resources fair allocation in multiple layers.
Journal ArticleDOI
A novel secure data transmission scheme in industrial internet of things
TL;DR: A new chaotic secure communication scheme is proposed and studied based on the synchronization of different-structure fractional-order chaotic systems with different order to address the security problem of data transmission.
Journal ArticleDOI
Steiner tree based optimal resource caching scheme in fog computing
TL;DR: This paper proposes a Steiner tree based caching scheme, in which the Fog servers, when caching resources, first produce a Steiners tree to minimize the total path weight (or cost) such that the cost of resource caching using this tree could be minimized.
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