Technique of Constructing Cloud Computing Platform Based on Ubuntu Enterprise Cloud

2012 ◽  
Vol 482-484 ◽  
pp. 713-716
Author(s):  
Ran Li ◽  
Jian Hua Fan ◽  
Xiao Bo Wang
Keyword(s):  
Cloud Computing ◽  
Service Provision ◽  
Private Cloud ◽  
Computing Platform ◽  
Cloud Computing Service ◽  
Cloud Server ◽  
Cloud Computing Platform ◽  
High Level ◽  
And Storage ◽  
Private Cloud Computing

Cloud computing is an effective approach for organizing computing resource and improving computing capability. In this paper, we designed and contstucted a private cloud computing platform based on ubuntu enterprise cloud. The cloud computing platform supports various clients dynamicly connet to cloud server and get cloud computing service via interface platform provided. Various kinds of virtual machine instance of different settings running on physical servers provide users computing and storage capability on demand. A series of high level functions guarantee computing service provision of platform.

A User’s Profile Model for Cloud Computing Service

2013 ◽  
Vol 774-776 ◽  
pp. 1729-1733 ◽  
Author(s):  
Wu Bin Ma ◽  
Ming Xin Liu ◽  
Su Deng ◽  
Hong Bin Huang
Keyword(s):  
Cloud Computing ◽  
User Models ◽  
Profile Model ◽  
Computing Platform ◽  
Model Based ◽  
Cloud Computing Service ◽  
Cloud Computing Platform

Personalization of model-based cloud computing platform based on specialized user models has become more important in order to preserve the effectiveness of their service as the amount of available content increases. In this paper, a users profile model is imported to the cloud computing. We propose a method of modeling users profile for cloud computing, and establish a simple users profile. At last, we use this model in the Google App Engine for searching some service to prove that importing the users profile model is useful and efficient for cloud computing service.

A Trust Model of P2P in Cloud Computing Environment

2013 ◽  
Vol 278-280 ◽  
pp. 1962-1965
Author(s):  
Song Fei ◽  
Xiao Jing Wang ◽  
Zhe Cui
Keyword(s):  
Cloud Computing ◽  
Trust Model ◽  
Computing Environment ◽  
Trust Mechanism ◽  
Cloud Computing Environment ◽  
Computing Platform ◽  
Cloud Computing Service ◽  
Cross Platform ◽  
Cloud Computing Platform ◽  
P2p Technology

Proposed a new trust model based on P2P technology in the cloud computing environment. The model takes into account more than one cloud computing platform, that is, considering the different cloud computing service provider provide the service of a cross-cloud platform. Such cross-platform cloud (Cross Cloud) can be called the composite cloud computing platform or cloud associated cloud computing platform.The nodes in the cloud computing environment are divided into two categories: customers and providers. According to the different roles of these two nodes, we designed a different trust mechanism, to divide the trust domain with independent single cloud, considered node independence and manageability of domain to process trust choice and trust update, and proposed a new kind of cloud computing service - trust recommendation service.

Batch Job Based Auto-Scaling System on Cloud Computing Platform

2013 ◽  
Vol 756-759 ◽  
pp. 2386-2390
Author(s):  
Yuan Yuan Guo ◽  
Jing Li ◽  
Xin Chun Liu ◽  
Wei Wei Wang
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Information Science ◽  
Service Providers ◽  
Setup Time ◽  
Affecting Factors ◽  
Computing Platform ◽  
Cloud Computing Service ◽  
Cloud Computing Platform ◽  
Auto Scaling

With the quick development of information science, it becomes much harder to deal with a large scale of data. In this case, cloud computing begins to become a hot topic as a new computing model because of its good scalability. It enables customers to acquire and release computing resources from and to the cloud computing service providers according to current workload. The scaling ability is achieved by system automatically according to auto scaling policies reserved by customers in advance, and it can greatly decrease users operating burden. In this paper, we proposed a new architecture of auto-scaling system, used auto-scaling technology on batch jobs based system and considered tasks deadlines and VM setup time as affecting factors on auto-scaling policy besides substrate resource utilities.

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