Comparison of in-house HPC calculation with public cloud computing for parallel algorithm containing recursive functions

2019 ◽  
Author(s):  
Eduard Vesel ◽  
Jarmila Skrinarova ◽  
Adam Dudas
Keyword(s):  
Cloud Computing ◽  
Parallel Algorithm ◽  
Public Cloud ◽  
Recursive Functions

A Review on Load Balancing Model Using Best Partition Technique

2017 ◽  
Vol 7 (8) ◽  
pp. 284
Author(s):  
M. Chaitanya ◽  
K. Durga Charan
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Load Balancing ◽  
Load Balance ◽  
Large Impact ◽  
Cloud Environment ◽  
Public Cloud ◽  
The Public ◽  
Partition Technique ◽  
Textual Content

Load balancing makes cloud computing greater knowledgeable and could increase client pleasure. At reward cloud computing is among the all most systems which offer garage of expertise in very lowers charge and available all the time over the net. However, it has extra vital hassle like security, load administration and fault tolerance. Load balancing inside the cloud computing surroundings has a large impact at the presentation. The set of regulations relates the sport idea to the load balancing manner to amplify the abilties in the public cloud environment. This textual content pronounces an extended load balance mannequin for the majority cloud concentrated on the cloud segregating proposal with a swap mechanism to select specific strategies for great occasions.

Public cloud computing for seismological research: Calculating large-scale noise cross-correlations using ALIYUN

2018 ◽  
Vol 31 (5-6) ◽  
pp. 227-233
Author(s):  
Weitao Wang ◽  
◽  
Baoshan Wang ◽  
Xiufen Zheng ◽  
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Public Cloud ◽  
Cross Correlations

E-Government Public Cloud Model (EGPCM)

2018 ◽  
Vol 31 (1) ◽  
pp. 244
Author(s):  
Nada M. Al-Hakkak ◽  
Ban Salman Shukur ◽  
Atheel Sabih Shaker
Keyword(s):  
Cloud Computing ◽  
Cloud Model ◽  
Public Cloud ◽  
New Model ◽  
The World

   The concept of implementing e-government systems is growing widely all around the world and becoming an interest to all governments. However, governments are still seeking for effective ways to implement e-government systems properly and successfully. As services of e-government increased and citizens’ demands expand, the e-government systems become more costly to satisfy the growing needs. The cloud computing is a technique that has been discussed lately as a solution to overcome some problems that an e-government implementation or expansion is going through. This paper is a proposal of a  new model for e-government on basis of cloud computing. E-Government Public Cloud Model EGPCM, for e-government is related to public cloud computing.

Cloud Computing Application Pattern Library

2014 ◽  
Vol 631-632 ◽  
pp. 192-195
Author(s):  
Lin Xu
Keyword(s):  
Cloud Computing ◽  
Public Cloud ◽  
Private Cloud ◽  
Library Development ◽  
Mixed Pattern ◽  
Pattern Center

On the basis of cloud computing introduction, the significance of cloud computing on library development is led out. It introduces several kinds of clouds applied in libraries at present—library carried on public cloud, library carried on private cloud and library carried on mixed cloud. It shows several patterns of cloud computing used in library—Internet carrying pattern, center-branch pattern and mixed pattern. Finally, the application pattern frame of library cloud computing is drawn up..

scholarly journals A Conceptual Model for Cloud Computing Adoption by SMEs in Australia

2016 ◽  
pp. 307-334 ◽  
Author(s):  
Ishan Senarathna ◽  
Matthew Warren ◽  
William Yeoh ◽  
Scott Salzman
Keyword(s):  
Cloud Computing ◽  
Conceptual Model ◽  
Business Service ◽  
Perceived Benefits ◽  
Public Cloud ◽  
Total Cost ◽  
The Public ◽  
Software Applications ◽  
On Demand ◽  
Cloud Computing Adoption

Cloud Computing is an increasingly important worldwide development in business service provision. The business benefits of Cloud Computing usage include reduced IT overhead costs, greater flexibility of services, reduced TCO (Total Cost of Ownership), on-demand services, and improved productivity. As a result, Small and Medium-Sized Enterprises (SMEs) are increasingly adopting Cloud Computing technology because of these perceived benefits. The most economical deployment model in Cloud Computing is called the Public Cloud, which is especially suitable for SMEs because it provides almost immediate access to hardware resources and reduces their need to purchase an array of advanced hardware and software applications. The changes experienced in Cloud Computing adoption over the past decade are unprecedented and have raised important issues with regard to privacy, security, trust, and reliability. This chapter presents a conceptual model for Cloud Computing adoption by SMEs in Australia.

Cloud Computing Networks

2015 ◽  
pp. 648-659
Author(s):  
Yale Li ◽  
Yushi Shen ◽  
Yudong Liu
Keyword(s):  
Cloud Computing ◽  
Model Transformation ◽  
Academic Research ◽  
Large Data ◽  
Content Delivery ◽  
Significant Gain ◽  
Public Cloud ◽  
Content Delivery Network ◽  
It Industry ◽  
Computing Model

Cloud Computing has the potential to trigger a major computing model transformation for the IT industry. This chapter briefly describes the business and technical benefits of Cloud Computing and explains the technical challenges in Cloud Computing, such as the network bottleneck. One of the solutions to address the network problem is the Content Delivery Network (CDN). Here, the basics of the Akamai CDN technology is digested. Then, the authors conduct a CDN experiment in the Microsoft public cloud, Windows Azure, to demonstrate the benefits of CDN integration with the cloud. The results show significant gain in large data download by the utilization of a CDN. Finally, a couple of academic research ideas are summarized for future improvements on the CDN model.

Investigating the Determinants of Decision-Making on Adoption of Public Cloud Computing in E-Government

2019 ◽  
pp. 1809-1828
Author(s):  
Juhua Wu ◽  
Fang Ding ◽  
Meng Xu ◽  
Zan Mo ◽  
Anran Jin
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Structural Equation ◽  
Chinese Culture ◽  
Equation Modeling ◽  
Public Cloud ◽  
Adoption Theory ◽  
Technical Factors ◽  
Management Factors ◽  
It Decision Making

This article analyzed decision-making in terms of the adoption of public cloud computing and its determinants in the context of e-government. The authors proposed a theoretical model and related hypotheses after reviewing the literature and combining technology adoption theory with IT decision-making authority theory. Then, they collected samples from 227 public sectors and tested hypotheses using structural equation modeling. The results show that the determinants of the three modes (IaaS, SaaS, and PaaS) of decision-making on adoption are different. The significant determinants of IaaS adoption include technical factors and business factors, those of PaaS adoption include technical factors and management factors, whereas those of SaaS include technical factors, business factors and management factors. The authors also find managerial/controlling power, which characterizes the special nature of Chinese culture, only have a significant influence on the decision-making on adoption of PaaS mode and SaaS mode.

A Security-By-Distribution Approach to Manage Big Data in a Federation of Untrustworthy Clouds

2019 ◽  
pp. 346-375
Author(s):  
Jens Kohler ◽  
Christian Richard Lorenz ◽  
Markus Gumbel ◽  
Thomas Specht ◽  
Kiril Simov
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Cost Savings ◽  
Cloud Provider ◽  
Small Data ◽  
Storage Space ◽  
Public Cloud ◽  
Infrastructure Investments ◽  
Security Compliance ◽  
Document Stores

In recent years, Cloud Computing has drastically changed IT-Architectures in enterprises throughout various branches and countries. Dynamically scalable capabilities like CPUs, storage space, virtual networks, etc. promise cost savings, as huge initial infrastructure investments are not required anymore. This development shows that Cloud Computing is also a promising technology driver for Big Data, as the storage of unstructured data when no concrete and defined data schemes (variety) can be managed with upcoming NoSQL architectures. However, in order to fully exploit these advantages, the integration of a trustworthy 3rd party public cloud provider is necessary. Thus, challenging questions concerning security, compliance, anonymization, and privacy emerge and are still unsolved. To address these challenges, this work presents, implements and evaluates a security-by-distribution approach for NoSQL document stores that distributes data across various cloud providers such that every provider only gets a small data chunk which is worthless without the others.

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