scholarly journals Cloud Computing Storage Backup and Recovery Strategy Based on Secure IoT and Spark

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Dajun Chang ◽  
Li Li ◽  
Ying Chang ◽  
Zhangquan Qiao
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Spatial Data ◽  
Loss Rate ◽  
Data Recovery ◽  
Computing Device ◽  
Data Packets ◽  
Recovery Strategies ◽  
Backup And Recovery ◽  
The Cost

Spatial data occupies a large proportion of the large amount of data that is constantly emerging, but a large amount of spatial data cannot be directly understood by people. Even a highly configured stand-alone computing device can hardly meet the needs of visualization processing. In order to protect the security of data and facilitate for users the search for data and recover by mistake, this paper conducts a research on cloud computing storage backup and recovery strategies based on the secure Internet of Things and Spark platform. In the method part, this article introduces the security Internet of Things, Spark, and cloud computing backup and recovery related content and proposes cluster analysis and Ullman two algorithms. In the experimental part, this article explains the experimental environment and experimental objects and designs an experiment for data recovery. In the analysis part, this article analyzes the challenge-response-verification framework, the number of data packets, the cost of calculation and communication, the choice of Spark method, the throughput of different platforms, and the iteration and cache analysis. The experimental results show that the loss rate of database 1 in the fourth node is 0.4%, 2.4%, 1.6%, and 3.2% and the loss rate of each node is less than 5%, indicating that the system can respond to applications.

scholarly journals Research on Internet of Things security architecture based on fog computing

2019 ◽  
Vol 15 (11) ◽  
pp. 155014771988816 ◽  
Author(s):  
Trung Dong Mai
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Data Transmission ◽  
Fog Computing ◽  
Security Architecture ◽  
Time Data ◽  
Local Data ◽  
Computing Device ◽  
Network Bandwidth ◽  
Processing Power

The traditional data processing of the Internet of Things is concentrated in cloud computing, and its huge number of devices and massive real-time data transmission are extremely stressful on network bandwidth and cloud computing data centers. Fog computing is the infrastructure that can use processing power anywhere in the cloud. Virtual computing extends the power of cloud computing to the edge of the network, enabling any computing device to host and process software services, analyzing and storing data closer to where data are generated. The architecture of the fog computing brings enormous processing power. Since its processing power is often located near the required equipment, the distance of data transmission is reduced and the delay is reduced. This article explores how to use the fog computing layer between the cloud data center and the end node layer to store and process large amounts of local data in a timely manner, speeding decision making and enabling Internet of Things manufacturers and software developers to limit their ability to send data. They reduced cloud computing costs and built a reasonable security architecture.

The Rise of Big Data, Cloud, and Internet of Things

2018 ◽  
pp. 201-222 ◽  
Author(s):  
Reema Abdulraziq ◽  
Muneer Bani Yassein ◽  
Shadi Aljawarneh
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
End Users ◽  
Structured Data ◽  
The Internet ◽  
Huge Amount ◽  
Volume Velocity ◽  
The Cost ◽  
The Internet Of Things

Big data refers to the huge amount of data that is being used in commercial, industrial and economic environments. There are three types of big data; structured, unstructured and semi-structured data. When it comes to discussions on big data, three major aspects that can be considered as its main dimensions are the volume, velocity, and variety of the data. This data is collected, analysed and checked for use by the end users. Cloud computing and the Internet of Things (IoT) are used to enable this huge amount of collected data to be stored and connected to the Internet. The time and the cost are reduced by means of these technologies, and in addition, they are able to accommodate this large amount of data regardless of its size. This chapter focuses on how big data, with the emergence of cloud computing and the Internet of Things (IOT), can be used via several applications and technologies.

An Efficient Framework Based on Cloud Computing Integrated With Internet of Things Technology for Intelligent Waste Management

2019 ◽  
pp. 132-145
Author(s):  
Suresh Annamalai ◽  
Udendhran R.
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Waste Management ◽  
Learning Algorithm ◽  
Strong Association ◽  
Waste Generation ◽  
Residential Areas ◽  
Goods And Services ◽  
Solid Waste Generation ◽  
The Cost

This chapter presents techniques based on internet of things and cloud computing-driven waste management. The data of the World Bank says that the municipal solid waste generation by the year of 2025 will be 1.42 kg/capital per day in the urban residential areas, with the increase in cost of about $375.5 billion that has a major rise from an annual of $205.4 billion in the year 2012. Due to the high population with the extreme consumption of goods and services, this leads to a strong association among the income levels, quality of life, and waste generation. In the present situation, more than 50% of the total population is living in the cities. In the governance aspect, it is said that the cost of waste management will be highly expensive. This chapter deals with the effective waste management with the implementation of internet of things (IoT)-based cloud technology with the machine learning algorithm that could be highly intellectual in the management of waste.

Data Recovery Strategies for Cloud Environments

2015 ◽  
pp. 377-391
Author(s):  
Theodoros Spyridopoulos ◽  
Vasilios Katos
Keyword(s):  
Cloud Computing ◽  
Data Acquisition ◽  
Data Recovery ◽  
Policy Framework ◽  
Cloud Environment ◽  
Resource Pooling ◽  
Organizational Challenges ◽  
Recovery Strategies ◽  
Cloud Environments ◽  
Traditional Approaches

Data acquisition and data recovery are essential to any e-discovery or digital forensic process. However, these two aspects seem to be considerably difficult in a cloud-computing environment. The very nature of the Cloud raises a number of technical and organizational challenges, which renders traditional approaches and tools inapplicable. Resource pooling, rapid elasticity, and geographical distribution of data are only a small part of the Cloud's features that hinder the forensic investigation. At the same time, there is significant absence of forensic readiness in cloud computing policy framework. In this chapter, the authors discuss the challenges pertaining to data acquisition in a cloud environment and discuss possible directions for meeting these challenges by presenting representative cases and sketching acquisition process and scenarios.

scholarly journals A Study on Data Security In Fog Computing

2018 ◽  
Vol 7 (2.19) ◽  
pp. 50
Author(s):  
P S.Apirajitha
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Data Security ◽  
Fog Computing ◽  
Daily Basis ◽  
Long Distance ◽  
Computing Power ◽  
On Demand ◽  
Iot Devices ◽  
The Cost

During the years, Cloud Computing is a popular paradigm which provide access to configurable resources on devices at any time,with on demand. Cloud Computing provides many benefits to enterprises by reducing the cost and allowing them to concentrate on their core business. Apart from this , the Development of Internet of Things came into existence, where the cloud divulge a long distance between users and its environment. Cloud Computing is also referred as heavy computing and dense form of computing power. In Spite of this  a new computing has been proposed called Fog Computing also known as Fogging, which overcomes the problem of cloud. Fog computing which majority supports the concepts of Internet of Things(IoT), where many  IoT devices are used by users on daily basis which are connected to each other. Fog Computing is also an extended version of cloud computing.  

Data Recovery Strategies for Cloud Environments

2013 ◽  
pp. 251-265 ◽  
Author(s):  
Theodoros Spyridopoulos ◽  
Vasilios Katos
Keyword(s):  
Cloud Computing ◽  
Data Acquisition ◽  
Data Recovery ◽  
Policy Framework ◽  
Cloud Environment ◽  
Resource Pooling ◽  
Organizational Challenges ◽  
Recovery Strategies ◽  
Cloud Environments ◽  
Traditional Approaches

Data acquisition and data recovery are essential to any e-discovery or digital forensic process. However, these two aspects seem to be considerably difficult in a cloud-computing environment. The very nature of the Cloud raises a number of technical and organizational challenges, which renders traditional approaches and tools inapplicable. Resource pooling, rapid elasticity, and geographical distribution of data are only a small part of the Cloud’s features that hinder the forensic investigation. At the same time, there is significant absence of forensic readiness in cloud computing policy framework. In this chapter, the authors discuss the challenges pertaining to data acquisition in a cloud environment and discuss possible directions for meeting these challenges by presenting representative cases and sketching acquisition process and scenarios.

PENGGUNAAN INTERNET OF THINGS DALAM PEMASARAN PRODUK PERTANIAN

2018 ◽  
Vol 3 (2) ◽  
pp. 74
Author(s):  
Helina Apriyani ◽  
Sismadi Sismadi ◽  
Sefrika Sefrika
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Data Storage ◽  
Electronic Devices ◽  
Agricultural Products ◽  
Main Concept ◽  
Farmers Market ◽  
Incremental Method ◽  
Sales Process ◽  
Internet Connections

AbstrakInternet of things (IoT) adalah sebuah konsep yang menghubungkan komputer dan perangkat elektronik melalui internet dan dapat dikendalikan dari jarak jauh. Konsep terpenting dalam Internet of things (Iot) adalah modul sistem informasi, koneksi internet dan penyimpanan datanya dalam cloud computing. Konsep ini memiliki manfaat besar dalam perkembangan usaha dan kelangsungan bisnis perusahaan dimana hampir semua bidang menggunakan IoT untuk dapat bersaing di pasaran. Indonesia merupakan sebuah negara yang dianugerahi kekayaan alam yang melimpah ruah. Salah satu komoditi unggulan adalah produk pertanian. Penelitian ini bertujuan untuk membantu para petani dalam memasarkan produknya melalui e-commerce dengan menggunakan konsep Internet of things IoT. Metode penelitian dengan menggunakan metode incremental.  Incremental digunakan untuk mendesai produk, kemudian  diimplementasikan, dan diuji secara bertahap (setiap modul akan ditambahkan bertahap) hingga produk selesai. Hasil penelitian ini digunakan untuk membantu petani di Kabupaten Bogor untuk mendistribusikan penjualannya secara luas, meningkatkan revenue dan memutus rantai panjang proses penjualan. Kata kunci— sistem penjualan, incremental, Internet of Things (IoT), produk pertanian, Kabupaten Bogor Abstract Internet of things (IoT) is a concept that connects computers and electronic devices via the internet and can be controlled remotely. The main concept in Internet of things (IoT) is information systems, internet connections and data storage in cloud computing. This concept has great benefits in the efforts and efforts used to use IoT to be able to compete in the market. Indonesia is a country that is blessed with abundant natural resources. One of the leading commodities is agricultural products. This study aims to help farmers market their products through e-commerce using the IoT Internet of things concept. Research method using incremental method. Incremental to design the product, then implemented, and gradually delay (each module will be added gradually) until the product is finished. The results of this study are to help farmers in Bogor Regency to distribute sales widely, increase revenue and break the sales process. Keywords—sales system, incremental, Internet of Things (IoT), agricultural products, Kabupaten Bogor

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