Cost Analysis for Big Geospatial Data Processing in Public Cloud Providers

2018 ◽  
pp. 223-236
Author(s):  
João Bachiega ◽  
Marco Sousa Reis ◽  
Aletéia P. F. Araújo ◽  
Maristela Holanda
Keyword(s):  
Cost Analysis ◽  
Data Processing ◽  
Geospatial Data ◽  
Public Cloud ◽  
Cloud Providers

Cost Analysis of Public Cloud IaaS Access of SMEs

2014 ◽  
Vol 631-632 ◽  
pp. 196-199
Author(s):  
Cong Cheng ◽  
Ai Qing Chen
Keyword(s):  
Cost Analysis ◽  
Public Cloud ◽  
Cloud Providers ◽  
Wait And See ◽  
The Cost

The CIOs of many SMEs take a wait-and-see attitude towards IaaS public cloud. Their greatest concern is whether IaaS public cloud access can really reduce cost. This paper analyzes and compares the cost of self-built server of SMEs and accessing three public cloud providers, and factors except for price that should be taken into account in the hope of providing better reference for informatization construction of SMEs.

Comparing Public-Cloud Providers

2011 ◽  
Vol 15 (2) ◽  
pp. 50-53 ◽  
Author(s):  
Ang Li ◽  
Xiaowei Yang ◽  
Srikanth Kandula ◽  
Ming Zhang
Keyword(s):  
Public Cloud ◽  
Cloud Providers

System Benchmarking on Public Clouds

2015 ◽  
pp. 37-50
Author(s):  
Sanjay P. Ahuja ◽  
Thomas F. Furman ◽  
Kerwin E. Roslie ◽  
Jared T. Wheeler
Keyword(s):  
Service Providers ◽  
Cluster Formation ◽  
Cloud Service ◽  
Vital Role ◽  
Cloud Services ◽  
System Level ◽  
Public Cloud ◽  
Cloud Providers ◽  
Set Up ◽  
Levels Of Service

There are several public cloud providers that provide service across different cloud models such as IaaS, PaaS, and SaaS. End users require an objective means to assess the performance of the services being offered by the various cloud providers. Benchmarks have typically been used to evaluate the performance of various systems and can play a vital role in assessing performance of the different public cloud platforms in a vendor neutral manner. Amazon's EC2 Service is one of the leading public cloud service providers and offers many different levels of service. The research in this chapter focuses on system level benchmarks and looks into evaluating the memory, CPU, and I/O performance of two different tiers of hardware offered through Amazon's EC2. Using three distinct types of system benchmarks, the performance of the micro spot instance and the M1 small instance are measured and compared. In order to examine the performance and scalability of the hardware, the virtual machines are set up in a cluster formation ranging from two to eight nodes. The results show that the scalability of the cloud is achieved by increasing resources when applicable. This chapter also looks at the economic model and other cloud services offered by Amazon's EC2, Microsoft's Azure, and Google's App Engine.

Comparative Analysis of Serverless Solutions from Public Cloud Providers

2021 ◽  
pp. 63-75
Author(s):  
Darshan Baid ◽  
Pallavi Murghai Goel ◽  
Pragya Bhardwaj ◽  
Astha Singh ◽  
Vishu Tyagi
Keyword(s):  
Comparative Analysis ◽  
Public Cloud ◽  
Cloud Providers

Multiservice Online Platform for Integrated Geospatial Data Processing

2019 ◽  
Author(s):  
Danila Parygin ◽  
Alexey Golubev ◽  
Ilya Korneev ◽  
Alexander Gurtyakov ◽  
Vladimir Tsyganov ◽  
...  
Keyword(s):  
Data Processing ◽  
Geospatial Data ◽  
Online Platform

Angle Estimation with Knowledge-Aided Constraint-Based Space-Time Adaptive Monopulse

2014 ◽  
Vol 998-999 ◽  
pp. 966-970
Author(s):  
Gong Chen ◽  
Wen Chong Xie ◽  
Yong Liang Wang
Keyword(s):  
Cost Analysis ◽  
Data Processing ◽  
Space Time ◽  
The Novel ◽  
Cognitive Radar ◽  
Angle Estimation ◽  
Numerical Examples ◽  
Novel Method ◽  
Tracking Filter

The principle and cost analysis of Constraint-Based Space-Time Adaptive Monopulse (C-STAM) are given. Based on the idea of cognitive radar, a novel Knowledge-Aided Constraint-Based Space-Time Adaptive Monopulse (KA-C-STAM) is proposed. With the knowledge given by a tracking filter in data processing, the KA-C-STAM improves the performance of angle estimation. Numerical examples verify the validity of the novel method.

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