Reliability analysis based on three-dimensional stochastic differential equation for big data on cloud computing

2014 ◽  
Author(s):  
Yoshinobu Tamura ◽  
Kenta Miyaoka ◽  
Shigeru Yamada
Keyword(s):  
Differential Equation ◽  
Cloud Computing ◽  
Big Data ◽  
Stochastic Differential Equation ◽  
Reliability Analysis ◽  
Three Dimensional

OPTIMIZATION ANALYSIS BASED ON STOCHASTIC DIFFERENTIAL EQUATION MODEL FOR CLOUD COMPUTING

2014 ◽  
Vol 21 (04) ◽  
pp. 1450020 ◽  
Author(s):  
YOSHINOBU TAMURA ◽  
SHIGERU YAMADA
Keyword(s):  
Differential Equation ◽  
Cloud Computing ◽  
Stochastic Differential Equation ◽  
Software Maintenance ◽  
Low Cost ◽  
Equation Model ◽  
Equation Modeling ◽  
Software Cost ◽  
Software Dependability ◽  
Cloud Applications

At present, a cloud computing is attracting attention as a network service to share the computing resources, i.e., networks, servers, storage, applications, and services. We focus on a cloud computing environment by using open source software such as OpenStack and Eucalyptus because of the unification management of data and low cost. In this paper, we propose a new approach to software dependability assessment based on stochastic differential equation modeling in order to consider the interesting aspect of the numbers of components, cloud applications, and users. Also, we analyze actual data to show numerical examples of software dependability assessment considering such characteristics of cloud computing. Moreover, we discuss the determination of optimum software maintenance times minimizing the total expected software cost.

scholarly journals Dependability Analysis Tool Based on Multi-Dimensional Stochastic Noisy Model for Cloud Computing with Big Data

2017 ◽  
Vol 2 (4) ◽  
pp. 273-287 ◽  
Author(s):  
Yoshinobu Tamura ◽  
Shigeru Yamada
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Software Maintenance ◽  
Low Cost ◽  
Cost Optimization ◽  
Three Dimensional ◽  
Analysis Tool ◽  
Software Cost ◽  
Maintenance Time ◽  
Dependability Analysis

This paper focuses on a big data on cloud computing environment by using open source software such as Open Stack and Eucalyptus because of the unification management of data and low cost. We propose a new approach to software dependability assessment based on stochastic differential equation modelling and jump diffusion process modelling in order to consider the interesting aspect of the numbers of components, cloud applications, and users. Moreover, we discuss the determination of an optimum software maintenance time minimizing the total expected software cost. In particular, we develop the three-dimensional AIR application for reliability and cost optimization analysis based on the proposed method. Then, we show numerical performance of the developed AIR application to evaluate the method of software reliability assessment for the big data on cloud computing.

Challenges and Cloud Computing Environments Towards Big Data

2014 ◽  
pp. 203-208
Author(s):  
Kiran Kumar S V N Madupu
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Big Data ◽  
Technology Development ◽  
Computing Environments ◽  
Modern Technologies

Big Data has terrific influence on scientific discoveries and also value development. This paper presents approaches in data mining and modern technologies in Big Data. Difficulties of data mining as well as data mining with big data are discussed. Some technology development of data mining as well as data mining with big data are additionally presented.

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