Cloud computing and distributed platforms ? Data flow, data categories and data use

2020 ◽  
Keyword(s):  
Cloud Computing ◽  
Data Flow ◽  
Data Use ◽  
Flow Data

Traffic Flow Data Collection and Signal Control System Based on Internet of Things and Cloud Computing

2013 ◽  
Vol 846-847 ◽  
pp. 1608-1611 ◽  
Author(s):  
Hui Jie Ding
Keyword(s):  
Cloud Computing ◽  
Control System ◽  
Data Collection ◽  
Internet Of Things ◽  
Traffic Flow ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Flow Data ◽  
Traffic Jam ◽  
Sensing Data

As more and more cars are in service, the traffic jam becomes a serious problem in our society. At the same time, more and more sensors make the cars more and more intelligent, and this promotes the development of Internet of things. Real time monitoring the cars will produce massive sensing data, the Cloud computing gives us a good manner to solve this problem. In this paper, we propose a traffic flow data collection and traffic signal control system based on Internet of things and the Cloud computing. The proposed system contains two main parts, sensing data collection and traffic status control subsystem.

scholarly journals Analisis Implementasi dan Pemodelan REA (Resource, Event, Agent) Sistem Akuntansi Pada UMKM Di Kabupaten Pasuruan

2019 ◽  
Vol 4 (1) ◽  
pp. 87
Author(s):  
Bagus Hari Sugiharto ◽  
Ufi Rumefi
Keyword(s):  
Data Flow ◽  
Flow Diagram ◽  
Flow Data ◽  
Data Flow Diagram

Model REA (REA Model) adalah krangka kerja akuntansi alternatif untuk pemodelan sumber daya, peristiwa, dan pelaku (resource,event,agent-REA) perusahaan yang sangat penting, serta hubungan diantara mereka. Jika telah diadopsi, data akuntansi dan nonakuntansi mengenai fenomena ini dapat diidentifikasi, ditangkap, dan disimpan dalam basis data terpusat. Tempat penyimpanan ini, tampilan pengguna dapat dibentuk hingga memenuhi kebutuhan semua pengguna dalam perusahaan (James A. Hall, 2007). Dalam penelitian ini dilakukan analisa terhadap sistem pancatatan keuangan yang selama ini digunakan oleh pelaku UMKM di Kab. Pasuruan untuk menjalankan kegiatan proses bisnisnya. Untuk dapat melihat dengan sistematis dan terstruktur implementasi pencatatan keuangan yang dilakukan oleh pelaku UMKM, maka Model REA peneliti gunakan untuk menjadi nilai ukur dan bentuk hasil implementasi pencatatan keuangan yang terjadi pada pelaku UMKM di Kab. Pasuruan. Dalam proses penelitian, terdapat beberapa tahapan proses mulai wawancara langsung hingga penyusunan rancangan Dokumen Flow, Sistem Flow, Data Flow Diagram (DFD) hingga perancangan ERD (CDM) dan REA. Hasil dari penelitian ini akan mendapat formulasi bentuk sistem pencatatan keuangan yang memang sesuai dan mudah yang selama ini digunakan oleh pelaku UMKM di Kab. Pasuruan, dari formulasi tersebut juga dapat menjadi model dasar untuk digunakan merancang bangun sebuah Aplikasi Sistem Informasi Pencatatan Keuangan untuk mengembangkan menjadi aplikasi pencatatan keuangan ter-otomatisasi.

Research on Communication Scheduling Algorithm for Smart Home in Internet of Things Under Cloud Computing

2019 ◽  
Vol 23 (1) ◽  
pp. 124-128 ◽  
Author(s):  
Jie Zhang ◽  
◽  
Mantao Wang
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Internet Of Things ◽  
Objective Function ◽  
Smart Home ◽  
Data Flow ◽  
Scheduling Algorithm ◽  
Optimal Solution ◽  
Low Latency ◽  
Communication Scheduling

The current communication scheduling algorithm for smart home cannot realize low latency in scheduling effect with unreasonable control of communication throughput and large energy consumption. In this paper, a communication scheduling algorithm for smart home in Internet of Things under cloud computing based on particle swarm is proposed. According to the fact that the transmission bandwidth of any data flow is limited by the bandwidth of network card of sending end and receiving end, the bandwidth limits of network card of smart home communication server are used to predict the maximum practicable bandwidth of data flow. Firstly, the initial value of communication scheduling objective function of smart home and particle swarm is set, and the objective function is taken as the fitness function of particle. Then the current optimal solution of objective function is calculated through predicted value and objective function, current position and flight speed of particle should be updated until the iteration conditions are met. Finally, the optimal solution is output, the communication scheduling of smart home is thus realized. Experiments show that this algorithm can realize low latency with small energy consumption, and the throughput is relatively reasonable.

scholarly journals Virtual Simulation Management of Data Traffic Optimization of Big Data Cloud Platform considering Multipoint Mapping Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Haibo Wu
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Flow ◽  
Virtual Simulation ◽  
Data Traffic ◽  
Cloud Platform ◽  
Mapping Algorithm ◽  
Computing Center ◽  
Traffic Optimization ◽  
Multipoint Mapping

With the continuous development of Internet, cloud computing, and other technologies, build a cloud platform based on Cloud Computing Center, but how to effectively carry out operation and maintenance and face users to ensure the continuity and effectiveness of the platform is extremely important. In view of these needs and limitations, this paper introduces the multipoint mapping algorithm, combs the statistical methods of platform cloud traffic, carries out platform data traffic by classification, constructs the data traffic optimization management model, analyzes the relevant data samples, carries out statistical calculation for data diversion tasks, analyzes and processes the priority indicators, and forms the final results through continuous iteration, realizing the management of data flow optimization virtual simulation of big data cloud platform. Simulation results show that the multipoint mapping algorithm is effective and can effectively support the data flow of big data cloud platform and optimize virtual simulation management.

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