scholarly journals A low-cost Java-based parallel computing platform for integrated measurement and data processing

2002 ◽  
Author(s):  
Chun Che Fung ◽  
C. Engel ◽  
H. Eren
Keyword(s):  
Parallel Computing ◽  
Data Processing ◽  
Low Cost ◽  
Computing Platform

Cloud Data Management Based on Cloud Computing Technology

2014 ◽  
Vol 543-547 ◽  
pp. 3573-3576
Author(s):  
Yuan Jun Zou
Keyword(s):  
Cloud Computing ◽  
Parallel Computing ◽  
Data Processing ◽  
Development Planning ◽  
Computer Data ◽  
Cloud Data ◽  
Computing Platform ◽  
Convergence Error ◽  
Cloud Computing Platform ◽  
Cloud Data Processing

Cloud computing, networking and other high-end computer data processing technology are the important contents of eleven-five development planning in China. They have developed rapidly in recent years in the field of engineering. In this paper, we combine parallel computing with the collaborative simulation principle, design a cloud computing platform, establish the mathematical model of cloud data processing and parallel computing algorithm, and verify the applicability of algorithm through the numerical simulation. Through numerical calculation, cloud computing platform can be divided into complex grids, and the transmission speed is fast, which is eight times than the finite difference method. The mesh is meticulous, which reaches millions. Convergence error is minimum, only 0.001. The calculation accuracy is up to 98.36%.

scholarly journals Comparison of Serial and Parallel Computation on Predicting Missing Data with EM Algorithm

2021 ◽  
Vol 18 (1) ◽  
pp. 22-30
Author(s):  
Erna Nurmawati ◽  
Robby Hasan Pangaribuan ◽  
Ibnu Santoso
Keyword(s):  
Parallel Computing ◽  
Missing Data ◽  
Data Processing ◽  
Em Algorithm ◽  
Parallel Computation ◽  
Incomplete Data ◽  
Parallel Programs ◽  
Missing Value ◽  
Speed Up ◽  
Compute Time

One way to deal with the presence of missing value or incomplete data is to impute the data using EM Algorithm. The need for large and fast data processing is necessary to implement parallel computing on EM algorithm serial program. In the parallel program architecture of EM Algorithm in this study, the controller is only related to the EM module whereas the EM module itself uses matrix and vector modules intensively. Parallelization is done by using OpenMP in EM modules which results in faster compute time on parallel programs than serial programs. Parallel computing with a thread of 4 (four) increases speed up, reduces compute time, and reduces efficiency when compared to parallel computing by the number of threads 2 (two).

Building a Trusted Environment for Security Applications

2013 ◽  
pp. 334-360
Author(s):  
Giovanni Cabiddu ◽  
Antonio Lioy ◽  
Gianluca Ramunno
Keyword(s):  
Trusted Computing ◽  
Low Cost ◽  
Computing Platform ◽  
Critical Data ◽  
Security Controls ◽  
Security Applications ◽  
Secure Storage ◽  
Cryptographic Keys ◽  
Correct Program ◽  
Trusted Platform

Security controls (such as encryption endpoints, payment gateways, and firewalls) rely on correct program execution and secure storage of critical data (such as cryptographic keys and configuration files). Even when hardware security elements are used (e.g. cryptographic accelerators) software is still—in the form of drivers and libraries—critical for secure operations. This chapter introduces the features and foundations of Trusted Computing, an architecture that exploits the low-cost TPM chip to measure the integrity of a computing platform. This allows the detection of static unauthorized manipulation of binaries (be them OS components or applications) and configuration files, hence quickly detecting software attacks. For this purpose, Trusted Computing provides enhanced security controls, such as sealed keys (that can be accessed only by good applications when the system is in a safe state) and remote attestation (securely demonstrating the software state of a platform to a remote network verifier). Besides the theoretical foundation, the chapter also guides the reader towards creation of applications that enhance their security by using the features provided by the underlying PC-class trusted platform.

scholarly journals Outlier detection and gap filling methodologies for low-cost air quality measurements

2019 ◽  
Vol 21 (4) ◽  
pp. 701-713 ◽  
Author(s):  
Thor-Bjørn Ottosen ◽  
Prashant Kumar
Keyword(s):  
Air Quality ◽  
Data Processing ◽  
Outlier Detection ◽  
Low Cost ◽  
Gap Filling ◽  
Air Quality Measurements ◽  
Promising Solution ◽  
Quality Measurements

Data processing offers a promising solution to alleviate artifacts from low-cost air quality sensors.

A high-bandwidth and low-cost data processing approach with heterogeneous storage architectures

2020 ◽  
Author(s):  
Bing Wei ◽  
Limin Xiao ◽  
Wei Wei ◽  
Yao Song ◽  
Baicheng Yan ◽  
...  
Keyword(s):  
Data Processing ◽  
Low Cost ◽  
Cost Data ◽  
Processing Approach ◽  
High Bandwidth
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