Cloud Services Gateway: A Tool for Exposing Private Services to the Public Cloud with Fine-grained Control

2012 ◽  
Author(s):  
Srinath Perera ◽  
Rajika Kumarasiri ◽  
Supun Kamburugamuva ◽  
Senaka Fernando ◽  
Sanjiva Weerawarana ◽  
...  
Keyword(s):  
Cloud Services ◽  
Public Cloud ◽  
The Public ◽  
Fine Grained

scholarly journals A Cost Estimation Model for Cloud Services and Applying to PC Laboratory Platforms

Processes ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 76
Author(s):  
KyungWoon Cho ◽  
Hyokyung Bahn
Keyword(s):  
Cost Estimation ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Public Cloud ◽  
Estimation Model ◽  
The Public ◽  
Laboratory Services ◽  
Cost Estimation Model ◽  
The Cost

IaaS (Infrastructure as a Service) is a well-known computing service, which provides infrastructures over the cloud without owning real hardware resources. This is attractive as resources can be scaled up and down instantly according to the user’s computing demands. Customers of such services would like to adjust the utilization policy promptly by considering the charge of the service, but an instantaneous response is not possible as it takes several hours or even a couple of days for cloud service providers to inform the billing information. In this article, we present an instant cost estimation model for estimating the cost of public cloud resources. Specifically, our model estimates the cost of IaaS by monitoring the usage of resources on behalf of virtual machine instances. As this is performed by generating a user-side metering daemon, it is very precise and thus similar to the resource usage evaluated by the cloud service provider. To validate our model, we run PC laboratory services for 50 students in two classes by making use of a public cloud during a semester. Experimental results show that the accuracy of our model is over 99.3% in comparison with the actual charge of the public cloud.

scholarly journals A Novel Collaborative PKI Framework in Public Cloud

2020 ◽  
Vol 8 (5) ◽  
pp. 3135-3141
Keyword(s):  
Service Provider ◽  
Data Privacy ◽  
Cloud Service ◽  
Public Key Infrastructure ◽  
Cloud Services ◽  
Public Key ◽  
Public Cloud ◽  
Cloud Service Provider ◽  
Cloud Data ◽  
The Public

Public Key Infrastructure (PKI) is a repository and management system for digital certificates. It can be the centralized or decentralized PKI system for issuing, managing, storing, verifying and distributing the key pairs, public key and private key, or one of the public key certificates. In public cloud, Data Owners and Data Users can upload or download their encrypted data along with services, resources and infrastructures in the hands of Cloud Service Provider. It creates the big security concerns in terms of data security and data privacy for the user and Cloud Service Provider is the sole responsibility to provide the Access Control Policy to restrict the cloud services centrally. With the emergence of cloud computing, Public Key Infrastructure (PKI) technology enables the secure communications in between systems. X.509 certificates are based on the centralized PKI and suffers so many issues in the public cloud. Gnu Privacy Guard (GnuPG) certificates are based on the decentralized PKI system. Imagine a world with decentralized PKI system in which each Kerberos is also a Central Authority for issuing certificates to the system or users. This proposed collaborative PKI framework describes the use of PKI in public cloud, proposed algorithm for Kerberos SSO token and provides acquisition of Public Key certificates from the client via Kerberized Central Authorities.

scholarly journals Data Placement for Privacy-Aware Applications over Big Data in Hybrid Clouds

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Xiaolong Xu ◽  
Xuan Zhao ◽  
Feng Ruan ◽  
Jie Zhang ◽  
Wei Tian ◽  
...  
Keyword(s):  
Big Data ◽  
Energy Consumption ◽  
Data Placement ◽  
Cloud Services ◽  
Hybrid Cloud ◽  
Public Cloud ◽  
Private Cloud ◽  
The Public ◽  
Placement Method ◽  
The Cost

Nowadays, a large number of groups choose to deploy their applications to cloud platforms, especially for the big data era. Currently, the hybrid cloud is one of the most popular computing paradigms for holding the privacy-aware applications driven by the requirements of privacy protection and cost saving. However, it is still a challenge to realize data placement considering both the energy consumption in private cloud and the cost for renting the public cloud services. In view of this challenge, a cost and energy aware data placement method, named CEDP, for privacy-aware applications over big data in hybrid cloud is proposed. Technically, formalized analysis of cost, access time, and energy consumption is conducted in the hybrid cloud environment. Then a corresponding data placement method is designed to accomplish the cost saving for renting the public cloud services and energy savings for task execution within the private cloud platforms. Experimental evaluations validate the efficiency and effectiveness of our proposed method.

scholarly journals Data encryption in public cloud using multi-phase encryption model

2018 ◽  
Vol 7 (1.8) ◽  
pp. 223
Author(s):  
Snata Choudhury ◽  
V.B. Kirubanand
Keyword(s):  
Data Storage ◽  
Data Encryption ◽  
Cloud Services ◽  
Public Cloud ◽  
Huge Amount ◽  
It Industry ◽  
Virtual Database ◽  
The Public ◽  
Huge Data ◽  
Multi Phase

Cloud computing the most used word in the world of Information Technology, is creating huge differences in IT industry. Nowadays huge amount of data is being generated and the researchers are finding new ways of managing these data. Basically, the word cloud refers to a virtual database that stores huge data from various clients. There are three types of cloud public, private and hybrid. Public cloud is basically for general users where users can use cloud services free or by paying. Private cloud is for any particular organizations and hybrid one is basically combine of both. Cloud offers various kind of services such as IAAS, PAAS, SAAS where services like platform for running any application, accessing the huge storage, can use any application running under cloud are given. The cloud also has a disadvantage regarding the security for the data storage facility. Basically, the public cloud is prone to data modification, data hacking and thus the integrity and confidentiality of the data is being compromised. Here in our work the concern is to protect the data that will be stored in the public cloud by using the multi-phase encryption. The algorithm that we have proposed is a combination of Rail Fence cipher and Play Fair cipher.

scholarly journals CSPM- Cloud Security Posture Management (Comprehensive Security for Cloud Environment)

2020 ◽  
pp. 251-257
Author(s):  
Jyoti Bolannavar
Keyword(s):  
Significant Risk ◽  
Cloud Security ◽  
Cloud Services ◽  
Cloud Environment ◽  
Public Cloud ◽  
The Public ◽  
Security Problem ◽  
Cloud Environments ◽  
Authorization Policies ◽  
Excessive Risk

As enterprises place more services in public cloud and as the public cloud providers introduce more infrastructure and platform services directly into the hands of developers, it is becoming increasingly complex and time-consuming to answer the seemingly straightforward question “Are we using these services securely?” and “Does the configuration of my cloud services represent excessive risk?” For example, manually assessing the secure setup and configuration in cloud environments across different services, each with varying granularities of authorization policies, is extremely difficult, if not impossible. Simple misconfiguration issues (such as open storage buckets) represent significant risk (see “Open File Shares Are Your Biggest Cloud Security Problem”) and occur often, as evidenced by continuing publicized data disclosures from publicly exposed storage buckets.

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.

End-User-Driven Approach for Regulatory Compliance in the Public Cloud

2021 ◽  
Vol 12 (3) ◽  
pp. 1-19
Author(s):  
Jitendra Singh ◽  
Vikas Kumar
Keyword(s):  
Present State ◽  
Business Groups ◽  
Regulatory Compliance ◽  
Third Party ◽  
Expert Advice ◽  
Small Scale ◽  
Public Cloud ◽  
End User ◽  
The Public ◽  
Limited Budget

Regulatory compliance is equally binding on small and medium business groups. Owing to the small scale and limited budget, such SMBs are unable to seek expert advice. To adequately guard the SMBs in regulatory compliance, the present work proposed a third-party managed-end user-driven approach that renders the list of regulatory acts applicable in one's case according to the country of one's residence, services subscribed, and type of the operations to be carried out in subscribed cloud paradigm. The list of applicable regulatory acts are rendered at the subscriber's end only. In addition, the proposed method notifies the present state of compliance of under-considered cloud providers. Based on the recommendation received, the subscriber can proceed with his decision to subscribe or not to subscribe in the event if desired compliances do not exist. This technological assistance will eliminate the need to possess the required knowledge in regulatory acts or seeking advice from the regulatory expert.

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