Titlebook: High-Performance Computing and Big Data Analysis; Second International Lucio Grandinetti,Seyedeh Leili Mirtaheri,Reza Sha Conference procee

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發(fā)電機

Conference proceedings 2019otal of 103 submissions. The papers in the volume are organized acording to the following topical headings: deep learning; big data analytics; Internet of Things.-?data mining, neural network and genetic algorithms;?performance issuesand quantum computing..

Exonerate

1865-0929 d from a total of 103 submissions. The papers in the volume are organized acording to the following topical headings: deep learning; big data analytics; Internet of Things.-?data mining, neural network and genetic algorithms;?performance issuesand quantum computing..978-3-030-33494-9978-3-030-33495-6Series ISSN 1865-0929 Series E-ISSN 1865-0937

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Consensus

Analytical Comparison of Virtual Machine and Data Placement Algorithms for Big Data Applications Basnd big data applications on cloud computing and select some of them to be presented in this paper. Also, we propose our method to solve the problem and show how it could be more effective than available methods.

Encephalitis

A Survey on Load Balancing in Cloud Systems for Big Data Applications utilization, throughput, cost, and response time will be guaranteed after all. In the interests of placing a high premium on load-balancing issue in distributed systems, in this study, we have provided a review concerning load-balancing algorithms in cloud environment for Big Data environment.

aqueduct

Internet of Things and Iranian Companies; An Empirical Survey from Industrial Market Perspectivees are the main targeted segments of market among supply side of IoT services and applications. About challenges that are in front of private sectors, it seems the lake of external funding be the main constraint of Iranian service providers in the field of IoT.

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1865-0929 , TopHPC 2019, held in?Tehran, Iran, in April 2019..The 37 full papers and 2 short papers presented in this volume were carefully reviewed and selected from a total of 103 submissions. The papers in the volume are organized acording to the following topical headings: deep learning; big data analytic