scholarly journals Achieving Secure Deduplication by Using Private Cloud and Public Cloud

2016 ◽  
Vol 10 (5) ◽  
pp. 17-26
Author(s):  
Guljar P. Shaikh ◽  
S. D. Chaudhary ◽  
Priyanka Paygude ◽  
Debnath Bhattacharyya
Keyword(s):  
Public Cloud ◽  
Private Cloud

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..

Esconet is a Complete IT Solutions Provider, Covering IT Infrastructure, Business Continuity Solutions, Messaging and Collaboration, and Cloud

2016 ◽  
Vol 8 (1) ◽  
pp. 71
Author(s):  
Editorial Board
Keyword(s):  
Data Protection ◽  
Data Center ◽  
Business Continuity ◽  
Public Cloud ◽  
It Infrastructure ◽  
Cloud Infrastructure ◽  
Private Cloud ◽  
Storage Networks

Esconet's domain skills have centered on Data center, Storage, Networks, Security, Data Protection and Virtualization with expertise in designing, building and maintaining private cloud infrastructure as well as public cloud infrastructure.

Hierarchical Scheduling Optimization Scheme in Hybrid Cloud Computing Environments

2015 ◽  
Vol 24 (08) ◽  
pp. 1550111 ◽  
Author(s):  
Chunlin Li ◽  
LaYuan Li
Keyword(s):  
Virtual Machines ◽  
Scheduling Algorithm ◽  
Cloud Provider ◽  
Hybrid Cloud ◽  
Public Cloud ◽  
Private Cloud ◽  
Optimization Scheme ◽  
Scheduling Optimization ◽  
Hierarchical Scheduling ◽  
Cloud Users

The paper proposes hierarchical scheduling optimization scheme in hybrid cloud. Our proposed hierarchical scheduling takes advantage of the interaction of cloud users, private cloud and public cloud. For high level optimization in hybrid cloud, the objective of public cloud provider optimization is to maximize the revenue of providing virtual machines (VMs) and minimize the energy cost. The private cloud users' applications give the unique optimal payment to public cloud providers under deadline and cost constraint to maximize the satisfaction of private cloud user applications. The objective of low-level scheduling optimization is to minimize the cost and execution time of private cloud application. From the simulation results, the revenue, execution success ratio and resource utilization of our proposed hierarchical scheduling algorithm are better than other related works.

scholarly journals A Decentralized Accountability Framework For Enhancing Secure Data Sharing Through Icm In Cloud

2019 ◽  
Vol 8 (11) ◽  
pp. 3446-3452
Keyword(s):  
Data Sharing ◽  
Cloud Service ◽  
The Internet ◽  
Public Cloud ◽  
Private Cloud ◽  
Cloud Service Provider ◽  
Actual Usage ◽  
Outsourced Data ◽  
Integrity Checking ◽  
Data Owner

The Cloud substitutes a computing criterion where shared configurable resources are afforded as an on-demand service over the Internet. Moreover, the cloud environment provides resources to the users on the basis of services like SaaS, PaaS and IaaS. Generally, a cloud can be referred as private cloud or public cloud. When a Cloud Service Provider (CSP) imposes upon public cloud resources to compile their private cloud, the result is demonstrated as a virtual private cloud. Private or public, the imperious intent of cloud computing is to provide simplistic, reliable usage of various computing resources. One of the significant features of cloud is that the outsourced data are accessed through any anonymous machines over the Internet. On the other hand, it creates an issue that user’s fear of unknown access of data, which can become a major difficulty to the wide implementation of cloud. In this paper, a decentralized accountability framework is developed to monitor the actual usage and access of the data that is shared on cloud. For that, a logging mechanism that includes authentication for each user to access the data has also been provided. Moreover, some procedures for providing the data under the control of data owner includes Integrity Checking Mechanism (ICM) have also been developed. The overall process strengthens the security constraints over cloud. And the experimental results reveal that the approach affords secure and scalable data sharing with reduced memory utilization and processing time

scholarly journals A Rule-based Approach for Effective Resource Provisioning in Hybrid Cloud Environment

2012 ◽  
pp. 128-133
Author(s):  
Rajkamal Kaur Grewal ◽  
Pushpendra Kumar Pateriya
Keyword(s):  
Resource Provisioning ◽  
Hybrid Cloud ◽  
Cloud Environment ◽  
Public Cloud ◽  
Private Cloud ◽  
Resource Manager ◽  
Rule Based ◽  
Heterogeneous Clouds ◽  
Rule Based Approach ◽  
The Cost

Resource provisioning is important issue in cloud computing and in the environment of heterogeneous clouds. The private cloud with confidentiality data configure according to users need. But the scalability of the private cloud limited. If the resources private clouds are busy in fulfilling other requests then new request cannot be fulfilled. The new requests are kept in waiting queue to process later. It take lot of delay to fulfill these requests and costly. In this paper Rule Based Resource Manager proposed for the Hybrid environment, which increase the scalability of private cloud on-demand and reduce the cost. Also set the time for public cloud and private cloud to fulfill the request and provide the services in time. The Evaluated the performance of Resource Manager on the basis of resource utilization and cost in hybrid cloud environment.

scholarly journals Design of a small-scale and failure-resistant IaaS cloud using OpenStack

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Samuel Heuchert ◽  
Bhaskar Prasad Rimal ◽  
Martin Reisslein ◽  
Yong Wang
Keyword(s):  
Small Scale ◽  
Scale Production ◽  
Proof Of Concept ◽  
Public Cloud ◽  
Cloud Platform ◽  
Private Cloud ◽  
Content Type ◽  
The Public ◽  
Platform As A Service ◽  
Data Control

PurposeMajor public cloud providers, such as AWS, Azure or Google, offer seamless experiences for infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS). With the emergence of the public cloud's vast usage, administrators must be able to have a reliable method to provide the seamless experience that a public cloud offers on a smaller scale, such as a private cloud. When a smaller deployment or a private cloud is needed, OpenStack can meet the goals without increasing cost or sacrificing data control.Design/methodology/approachTo demonstrate these enablement goals of resiliency and elasticity in IaaS and PaaS, the authors design a private distributed system cloud platform using OpenStack and its core services of Nova, Swift, Cinder, Neutron, Keystone, Horizon and Glance on a five-node deployment.FindingsThrough the demonstration of dynamically adding an IaaS node, pushing the deployment to its physical and logical limits, and eventually crashing the deployment, this paper shows how the PackStack utility facilitates the provisioning of an elastic and resilient OpenStack-based IaaS platform that can be used in production if the deployment is kept within designated boundaries.Originality/valueThe authors adopt the multinode-capable PackStack utility in favor of an all-in-one OpenStack build for a true demonstration of resiliency, elasticity and scalability in a small-scale IaaS. An all-in-one deployment is generally used for proof-of-concept deployments and is not easily scaled in production across multiple nodes. The authors demonstrate that combining PackStack with the multi-node design is suitable for smaller-scale production IaaS and PaaS deployments.

Hybrid Data Security Model for Cloud

2013 ◽  
Vol 3 (3) ◽  
pp. 50-59
Author(s):  
Sandeep K. Sood
Keyword(s):  
Data Storage ◽  
User Authentication ◽  
Security Analysis ◽  
Cost Effective ◽  
Cloud Security ◽  
Main Concern ◽  
Security Model ◽  
Public Cloud ◽  
Private Cloud ◽  
The Public

Security of data is one of the main concern in the implementation of cloud computing. This paper proposes a highly effective and efficient cloud security model. The proposed security model keeps the most critical data on the private cloud and the rest of it on the public cloud. It uses hash codes to check the integrity of the data at the public cloud. The proposed cloud security model provides the provision of defining user roles thereby determining the type of access the user exercises on the data. This model uses dual verification mechanism for user authentication by using username and password on one layer and key authentication on another layer. A cryptographic process is used to make the overall security of the data on the cloud highly robust. A comprehensive security analysis of the model is done against various types of attacks and the results are very promising. This model is compared to various existing cloud security models and the results shows that our technique is faster, much more robust and efficient as compared to other existing models. This model is cost effective because it uses private cloud only for highly sensitive data. Rest of data is stored on the public cloud, where data storage cost is comparatively very less.

Community Cloud

2017 ◽  
pp. 39-55
Author(s):  
Karolina Marzantowicz ◽  
Łukasz Paciorkowski
Keyword(s):  
The Other ◽  
Public Cloud ◽  
Private Cloud ◽  
Full Control ◽  
Other Hand ◽  
Cloud Providers ◽  
Community Cloud ◽  
The Way

Should you turn to a public or private cloud solution? Discussions prizing the first or the second option are endless. Public cloud means flexibility, unlimited scalability, frictionless consumption and less worry for your CIO. On the other hand, private cloud gives you full control over the environment and keeps your data close to you, preferably under your nose—or at least within the borders of your country. Public cloud is relatively cheap, while a private cloud might get pricey. But what if neither of those two options fit your needs? You may not trust public cloud providers, but at the same time you are searching for the way to cut through complexity of the private cloud. The answer to your needs might be a community cloud.

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