scholarly journals Comparative Analysis of Various Cloud Technologies

2011 ◽  
Vol 1 (1) ◽  
pp. 23-27
Author(s):  
Akanksha Akanksha ◽  
Dr. Gurdev Singh
Keyword(s):  
Cloud Computing ◽  
Comparative Analysis ◽  
Large Scale ◽  
Storage Capacity ◽  
Computing Services ◽  
Static Data ◽  
Cloud Computing Services ◽  
And Performance ◽  
Cloud Technologies ◽  
Memory Utilization

With the increasing prevalence and demand of large scale cloudcomputing environment, a researcher has to draw more attentiontowards the services provided by the CLOUD. As the access tothe server is increasing, centralized and distributed computingarchitecture will produce bottlenecks data which affect thequality of cloud computing services and bring the huge supportto users. In this paper we are going to propose certain vitalaspects such as memory utilization, storage capacity to check theefficiency and performance of various clouds in cloudcomputing environment. This is based upon the static data. Theproposed mechanism enables users to access memories invarious systems depending on the predefined criteria. Selectionmethod for accessing the memory of a resource is properlyintroduced in this paper. Our evaluation results show that theaggregation of various clouds is effective in indicating the betterefficiency and also to reduce network traffic sent over cloudnetworks.

Big Data and Cloud Computing

2018 ◽  
pp. 1-28 ◽  
Author(s):  
Marcus Tanque ◽  
Harry J Foxwell
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Data Analytics ◽  
Large Scale ◽  
Big Data Analytics ◽  
Chain Management ◽  
Computing Services ◽  
Cloud Computing Services

Big data and cloud computing are transforming information technology. These comparable technologies are the result of dramatic developments in computational power, virtualization, network bandwidth, availability, storage capability, and cyber-physical systems. The crossroads of these two areas, involves the use of cloud computing services and infrastructure, to support large-scale data analytics research, providing relevant solutions or future possibilities for supply chain management. This chapter broadens the current posture of cloud computing and big data, as associate with the supply chain solutions. This chapter focuses on areas of significant technology and scientific advancements, which are likely to enhance supply chain systems. This evaluation emphasizes the security challenges and mega-trends affecting cloud computing and big data analytics pertaining to supply chain management.

The Research of Cloud Computing Service Model

2014 ◽  
Vol 556-562 ◽  
pp. 6262-6265 ◽  
Author(s):  
Yuan Zhang ◽  
Lei Huang
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Development Trend ◽  
Service Model ◽  
Computing Services ◽  
Cloud Computing Service ◽  
Cloud Computing Services ◽  
The Difference ◽  
The Development Trend

Cloud computing is developing rapidly in recent years. Everyone is talking about cloud computing that provide large scale service to replace computers and software. Cloud computing has already become the development trend of present IT circles. This paper explains the basics of Cloud computing, analyzes the difference of cloud computing services, and points out the characteristics of the cloud computing services.

A Review of Cloud Computing Bioinformatics Solutions for Next-Gen Sequencing Data Analysis and Research

2015 ◽  
Vol 2 (1) ◽  
Author(s):  
Konstantinos Krampis ◽  
Claudia Wultsch
Keyword(s):  
Cloud Computing ◽  
Data Analysis ◽  
Large Scale ◽  
Storage Capacity ◽  
Biological Research ◽  
Sequencing Data ◽  
Computing Services ◽  
Informatics Infrastructure ◽  
And Storage ◽  
Sequencing Data Analysis

Abstract Research in biology has entered a digital era, where next-generation sequencing instruments generate multiple terabytes of data but are equipped with minimal computational and storage capacity that is not sufficient for large-scale, post-sequencing data analysis. Therefore, scientific value cannot be obtained from investment in a sequencing instrument, unless it is also combined with a significant expense for informatics infrastructure. An alternative option for laboratories is to outsource their informatics infrastructure, by leasing computational cycles and storage capacity from cloud computing services. Development of cloud-based bioinformatics tool suites can provide users with access to pre-configured software and on-demand computing resources for genomic data analysis, while at the same time lower the barrier for working with sequencing datasets, leading to broader adoption of genomic technologies for basic biological research. We conclude that along with the democratization of genome sequencing through the availability of lowcost, bench-top sequencers, cloud computing can in turn democratize access to computational capacity and informatics infrastructures required for sequencing data analysis.

Public Policies for Providing Cloud Computing Services to SMEs of Latin America

2018 ◽  
pp. 6727-6737
Author(s):  
Mohd Nayyer Rahman ◽  
Badar Alam Iqbal
Keyword(s):  
Cloud Computing ◽  
Latin America ◽  
Latin American ◽  
Large Scale ◽  
Public Policies ◽  
Modern Concept ◽  
Computing Services ◽  
Business Operations ◽  
Cloud Computing Services ◽  
Latin American Economic

SMEs are considered backbone of Latin American economic region as they represent an overwhelming majority of private enterprises in the region and account for 99% of businesses and employ 67% of employees. One of the elements in which SMEs need assistance is their involvement in the IT enabled services (ITES) both for greater efficiency and optimisation of the economic data. Cloud Computing as a modern concept has commercialised the use of ITES along with sharing of data at a wider scale. Tacit knowledge in the form of data can be easily shared at large scale with the help of cloud computing. While MNCs has started using cloud computing to benefit the organisations, SMEs are far behind in truly understanding the relevance of cloud computing in benefitting business operations. The present study aims to analyse the existing opportunities and then formulate relevant public policies for providing cloud computing services to SMEs of Latin America.

scholarly journals Current Development on Cloud Computing Service Models for End Users Data Analysis

2019 ◽  
Vol 9 (2) ◽  
pp. 14
Author(s):  
Nur Hamezah Abdul Malic Abdul Malik ◽  
Tengku Adil Tengku Izhar ◽  
Mohd Razilan Abdul Kadir
Keyword(s):  
Cloud Computing ◽  
Critical Factors ◽  
The Past ◽  
Computing Services ◽  
Technology Advancement ◽  
Cloud Computing Service ◽  
Cloud Computing Services ◽  
And Performance ◽  
Framework Development ◽  
Relevant Factors

The emerging cloud computing has lead society to accept this technology advancement in their daily life. Referring to the past studies, it is found that there are few factors that effecting the usage satisfaction in using cloud computing services. Many cloud computing providers are always competing to give users the best feature out of their offered services. However, it should consider knowing the factors that contribute to the usage satisfaction. This paper reviewed the previous study on cloud computing services. We compare previous models on cloud computing to analyse current gaps on critical factors toward future framework development. The reviews contain relevant factors such as security, efficiency and performance, cost, organisation and technology developed based from the literature.

scholarly journals DETERMINANTS OF CLOUD COMPUTING ADOPTION BY ROMANIAN SMES IN THE DIGITAL ECONOMY

2019 ◽  
Vol 20 (4) ◽  
pp. 798-820 ◽  
Author(s):  
Violeta Mihaela Dincă ◽  
Alina Mihaela Dima ◽  
Zoltán Rozsa
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Online Survey ◽  
Cloud Service ◽  
Computing Services ◽  
Cloud Computing Adoption ◽  
Scientific Papers ◽  
Cloud Computing Services ◽  
Service Introduction ◽  
Main Components

The purpose of this paper is to explore the process of Cloud Computing adoption within Romanian Small and Medium sized Enterprises in the digital age. Most of the scientific papers related to this topic examine the general outlook of cloud computing implementation in Romania and focus on the use of the afore-mentioned technologies by large scale companies. In order to identify the factors that have an influence over the choice of Romanian SMEs to adopt cloud computing technology, a conceptual model has been set forth. The model’s dependent variable is the choice of the company’s management to implement cloud computing technologies. Five different independent types of variable structures which have an effect on the adoption of cloud computing within SMEs were identified. The five categories of variables are competition & government, ICT providers & firm departments, employee, manager and technological factors. Each of these categories of determinants encompasses at their turn two or more constructs. An online survey tested the model based on the responses of managers and directors from 198 Romanian SMEs from the cities of Bucharest and Cluj. The validity of the model was performed by completing factor analysis and reliability tests of the data; a logistic regression analysis was deployed to test the research hypotheses. The results emphasized that the managers’ know-how on cloud computing and the perceived costs of implementing the technology represent the main components influencing the spreading of cloud computing among Romanian SMEs. This study makes a valuable contribution to the academic environment but to businesses as well. The model can be used to examine the implementation of different innovative applications. Companies which offer cloud computing services could take advantage of the outcomes of this study to expand the degree of cloud service introduction among SMEs.

scholarly journals Compute functional analysis leveraging the IAAS private cloud computing service model in packstack development

2021 ◽  
Vol 13 (1) ◽  
pp. 9-17
Author(s):  
Mohamad Iqbal Suriansyah ◽  
Iyan Mulyana ◽  
Junaidy Budi Sanger ◽  
Sandi Winata
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Large Scale ◽  
Private Cloud ◽  
Computing Services ◽  
Monitoring Process ◽  
Cloud Computing Service ◽  
Cloud Computing Services ◽  
Self Service ◽  
Private Cloud Computing

Analyzing compute functions by utilizing the IAAS model for private cloud computing services in packstack development is one of the large-scale data storage solutions. Problems that often occur when implementing various applications are the increased need for server resources, the monitoring process, performance efficiency, time constraints in building servers and upgrading hardware. These problems have an impact on long server downtime. The development of private cloud computing technology could become a solution to the problem. This research employed Openstack and Packstack by applying one server controller node and two servers compute nodes. Server administration with IAAS and self-service approaches made scalability testing simpler and time-efficient. The resizing of the virtual server (instance) that has been carried out in a running condition shows that the measurement of the overhead value in private cloud computing is more optimal with a downtime of 16 seconds.

Cloud Technologies and Services

2021 ◽  
pp. 3-26
Author(s):  
W Kuan Hon ◽  
Christopher Millard ◽  
Jatinder Singh
Keyword(s):  
Cloud Computing ◽  
Business Models ◽  
Cloud Service ◽  
Network Access ◽  
Resource Pooling ◽  
Computing Services ◽  
Cloud Computing Services ◽  
Self Service ◽  
Definition Of ◽  
Cloud Technologies

This chapter defines what cloud computing is. The National Institute of Standards and Technology (NIST) has set out a commonly used definition of cloud computing. Under this definition, a 'computing capacity' will qualify as a 'cloud service' if it has the following five characteristics: on-demand self-service; broad network access; resource pooling; rapid elasticity; and measured service. In terms of business models, cloud computing resources are typically offered 'as a Service'. Traditionally, cloud computing services were typically described as falling into one or more of the following three service categories or models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The chapter then looks at the key concepts of the cloud supply chain.

Cloud Services: Application and its Use in Information Science

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Shahkar Riyaz Tramboo
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Online Survey ◽  
Information Science ◽  
Research Process ◽  
Cloud Services ◽  
Information Storage ◽  
Computing Services ◽  
Basic Understanding ◽  
Cloud Computing Services

The purpose of the paper is to present the different views of how cloud computing is being adopted as a service in the field of Information Science, and the varied services being provided by the Cloud. An online survey was carried out to look for cloud services and its level of penetration in the field of information science as a services provider. Also previous work on the same topic by various researchers was also taken into account as they provided the required impetus for the research process. The study assesses the cloud computing and the use of its services in the field of Information Science, along with few relevant examples of large scale cloud computing services. The finding can be used by the professionals to get basic understanding of the cloud computing and its services for information storage and dissemination.

scholarly journals An Overview of Public Cloud Security Issues

2014 ◽  
Vol 3 (2) ◽  
pp. 440-445
Author(s):  
Atefeh Heydari ◽  
Mohammad Ali Tavakoli ◽  
Mohammad Riazi
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Physical Space ◽  
Public Cloud ◽  
Huge Number ◽  
Security Issues ◽  
On Demand ◽  
Computing Services ◽  
Cloud Computing Services ◽  
Computing Platforms

Traditionally, computational needs of organizations were alleviated by purchasing, updating and maintaining required equipments. Beside expensive devices, physical space to hold them, technical staffs to maintain them and many other side costs were essential prerequisites of this matter. Nowadays with the development of cloud computing services, a huge number of peoples and organizations are served in terms of computational needs by large scale computing platforms. Offering enormous amounts of economical compute resources on-demand motivates organizations to outsource their computational needs incrementally. Public cloud computing vendors offer their infrastructure to the customers via the internet. It means that the control of customers’ data is not in their hands anymore. Unfortunately various security issues are emerged from this subject. In this paper the security issues of public cloud computing are overviewed. More destructive security issues are highlighted in order to be used by organizations in making better decisions for moving to cloud.

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