Ontology-based cloud computing approach implements on mobile healthcare and management

2017 ◽  
Author(s):  
Shu-Hsien Liao
Keyword(s):  
Cloud Computing ◽  
Mobile Healthcare ◽  
Computing Approach

A cloud computing approach to on-demand and scalable cybergis analytics

2014 ◽  
Author(s):  
Pierre Riteau ◽  
Myunghwa Hwang ◽  
Anand Padmanabhan ◽  
Yizhao Gao ◽  
Yan Liu ◽  
...  
Keyword(s):  
Cloud Computing ◽  
On Demand ◽  
Computing Approach

scholarly journals Information Technology Service Management with Cloud Computing Approach to Improve Administration System and Online Learning Performance

2015 ◽  
Vol 9 (2) ◽  
pp. 51 ◽  
Author(s):  
Wilianto Wilianto ◽  
Iskandar Fitri
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Online Learning ◽  
Network Topology ◽  
Service Management ◽  
Average Delay ◽  
Technology Service ◽  
Cpu Utilization ◽  
Information Technology Service ◽  
Computing Approach

This work discusses the development of information technology service management using cloud computing approach to improve the performance of administration system and online learning at STMIK IBBI Medan, Indonesia. The network topology is modeled and simulated for system administration and online learning. The same network topology is developed in cloud computing using Amazon AWS architecture. The model is designed and modeled using Riverbed Academic Edition Modeler to obtain values of the parameters: delay, load, CPU utilization, and throughput. The simu- lation results are the following. For network topology 1, without cloud computing, the average delay is 54  ms, load 110 000 bits/s, CPU utilization 1.1%, and throughput 440  bits/s.  With  cloud  computing,  the  average  delay  is 45 ms,  load  2 800  bits/s,  CPU  utilization  0.03%,  and throughput 540 bits/s. For network topology 2, without cloud computing, the average delay is 39  ms, load 3 500 bits/s, CPU utilization 0.02%, and throughput database server 1 400 bits/s. With cloud computing, the average delay is 26 ms, load 5 400 bits/s, CPU utilization email server 0.0001%, FTP server 0.001%, HTTP server 0.0002%, throughput email server 85 bits/s, FTP    server 100 bits/sec, and HTTP server 95  bits/s.  Thus,  the  delay, the load, and the CPU utilization decrease; but,  the throughput increases. Information technology service management with cloud computing approach has better performance.

scholarly journals Secure Identity-Based Data Sharing and Profile Matching for Mobile Healthcare Social Networks in Cloud Computing

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 36584-36594 ◽  
Author(s):  
Qinlong Huang ◽  
Wei Yue ◽  
Yue He ◽  
Yixian Yang
Keyword(s):  
Social Networks ◽  
Cloud Computing ◽  
Data Sharing ◽  
Mobile Healthcare ◽  
Profile Matching ◽  
Identity Based

Organizational and Management Aspects of Cloud Computing Application in Scientific Research

2015 ◽  
pp. 1852-1876
Author(s):  
Mladen Čudanov ◽  
Jovan Krivokapić
Keyword(s):  
Cloud Computing ◽  
Business Model ◽  
Scientific Research ◽  
Theory And Practice ◽  
Opportunity Costs ◽  
Organizational Network ◽  
It Support ◽  
Ict Infrastructure ◽  
The Impact ◽  
Computing Approach

This chapter is focused on the business model of scientific research, theoretically analysing managerial, organizational, and financial, rather than technical aspects of this concept. Theoretic explanation is based on an organizational networking platform. In practice, this platform is presented by Seven Bridges Genomics software solution, and the new opportunities for the organizational network broker are illustrated both in theory and practice. The impact that cloud computing has upon organizational performances is theoretically explained by costs of the ICT infrastructure, as well as of transactional and opportunity costs of operations. Through cloud computing, approach opportunity costs are reduced and efficiency is increased. The business model is presented in the framework of Osterwalder and Pigneur. By means of theoretical analysis and practical example, the authors demonstrate the development of a business model related to scientific research in bioinformatics. Cloud computing enables organizational separation of two distinct parts of the scientific research business model: core research and IT support. From the perspective of efficiency, network achieves a higher level of capital utilisation, better resistance to business risks, lower transaction costs, and in general, better efficiency, while the core research part has the opportunity to focus its structure on effectiveness and creativity.

Proof of concept of a novel cloud computing approach for object-based remote sensing data analysis and classification

2018 ◽  
Vol 56 (4) ◽  
pp. 536-553 ◽  
Author(s):  
R. R. Antunes ◽  
T. Blaschke ◽  
D. Tiede ◽  
E. S. Bias ◽  
G. A. O. P. Costa ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Cloud Computing ◽  
Data Analysis ◽  
Remote Sensing Data ◽  
Proof Of Concept ◽  
Sensing Data ◽  
Object Based ◽  
Computing Approach
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