Optimized data storage algorithm of IoT based on cloud computing in distributed system

Wang, Mingzhe; Zhang, Qiuliang

doi:10.1016/j.comcom.2020.04.023

Cited by 55 publications

(23 citation statements)

References 7 publications

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“…Using computers in the future is able to dominate human work and defeat human computing capabilities such as controlling electronic equipment remotely using internet media, IoT allows users to manage and optimize electronics and electrical equipment that uses the internet. We can utilize the IoT system for monitoring and control of the greenhouse environment [5], [7]- [10]. This speculates that in the near future communication between computers and electronic equipment is able to exchange information between them thereby reducing human interaction.…”

Section: Research Methods 21 Internet Of Thingsmentioning

confidence: 98%

Applying fuzzy proportional integral derivative on Internet of things for figs greenhouse

Riansyah

Mulyono

Roichani

2021

IJ-AI

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Indonesia is an agrarian country where most of population work as farmers. Various planting media have been developed in Indonesia such as using greenhouses. Greenhouse is one of very promising planting media for plant cultivators, because it can be a solution to challenges of extreme climate change. In a greenhouse, the state of the room can be easily controlled using technologies such as automatic watering systems, air temperature control, air humidity and soil moisture. This research focuses on figs by applying fuzzy proportional integral derivative (FPID) as artificial intelligence on the Internet of things (IoT) for greenhouses. It uses Tsukamoto method serves to monitor air conditions and soil conditions and then it is coupled with proportional integral derivative (PID) control to control air temperature, air humidity, and soil moisture so that it is always in the ideal condition of figs in greenhouse. By implementing FPID on IoT for greenhouse, the development of figs in greenhouse can be optimized because air and soil conditions can be maintained in ideal conditions.

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Section: Research Methods 21 Internet Of Thingsmentioning

confidence: 98%

Applying fuzzy proportional integral derivative on Internet of things for figs greenhouse

Riansyah

Mulyono

Roichani

2021

IJ-AI

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“…Wang, Mingzhe, et al [48] propose an optimization algorithm for access to IoT data in cloud computing. The article describes the increased stability of data transfer over a wireless network, which improves technical assistance in handling and managing data.…”

Section: Literature Reviewmentioning

confidence: 99%

IoT and Cloud Computing Issues, Challenges and Opportunities: A Review

Sadeeq

Abdulkareem

Zeebaree

et al. 2021

QAJ

225

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With the exponential growth of the Industrial Internet of Things (IIoT), multiple outlets are constantly producing a vast volume of data. It is unwise to locally store all the raw data in the IIoT devices since the energy and storage spaces of the end devices are strictly constrained. self-organization and short-range Internet of Things (IoT) networking also support outsourced data and cloud computing, independent of the distinctive resource constraint properties. For the remainder of the findings, there is a sequence of unfamiliar safeguards for IoT and cloud integration problems. The delivery of cloud computing is highly efficient, storage is becoming more and more current, and some groups are now altering their data from in house records Cloud Computing Vendors' hubs. Intensive IoT applications for workloads and data are subject to challenges while utilizing cloud computing tools. In this report, we research IoT and cloud computing and address cloud-compatible problems and computing techniques to promote the stable transition of IoT programs to the cloud.

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“…e raw disk usually refers to such special character-driven device without the formatting operation and it cannot be managed by Unix/Linux's file system [12]; thus the space management is very inflexible, and the corresponding on-demand enlargement requirement is very difficult to be satisfied. Given this, this paper leverages the logical volume (LV) to complete the enlargement of high-performance server.…”

Section: Storage Managementmentioning

confidence: 99%

High-Performance Server-Based Live Streaming Transmission Optimization for Sports Events in Smart Cities

Chen

Zhao

2021

Mobile Information Systems

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Smart cities allow cities to run more efficiently and have been approved by a lot of cities. During the process of building smart cities, a large amount of data is generated. Particularly, live sports events have been regarded as the inalienable part of smart cities. However, with the improvement in the quality of life, people tend to obtain better watching experience in terms of sports events. For such purpose, this paper proposes the live streaming transmission optimization method based on high-performance server, called HPTO, including two main modules, that is, high-performance server optimization and transmission optimization. Specifically, for the server optimization, this paper devises a distributed storage strategy to avoid producing the internal disk fragments and improve the writing efficiency of sports videos. For the transmission optimization, this paper devises a deep-learning-based video compression strategy to save the storage space of server and accelerate the transmission of sports videos. In addition, this paper makes simulation experiments based on PyCharm. The experimental results show that HPTO has higher storage efficiency, smaller transmission time, and lower packet loss rate than benchmarks, which indicates that the proposed two aspects of optimization strategies (server optimization and transmission optimization) are efficient.

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Optimized data storage algorithm of IoT based on cloud computing in distributed system

Cited by 55 publications

References 7 publications

Applying fuzzy proportional integral derivative on Internet of things for figs greenhouse

Applying fuzzy proportional integral derivative on Internet of things for figs greenhouse

IoT and Cloud Computing Issues, Challenges and Opportunities: A Review

High-Performance Server-Based Live Streaming Transmission Optimization for Sports Events in Smart Cities

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