Public Cloud Computing Research Articles

Establishment of Pavement Information Decision Management Platform via Cloud Computing Technology

With the time progress and constant promotion of information technology, the living quality of people is improved relative to economic development and people constantly demand the government to improve service effectiveness. In order to save manpower and material resources, it is an inevitable trend for road authorities to develop pavement management system of government electronization. However, the existing pavement management systems at home mainly comprise basic investigation data on road condition, current situation analysis and suggestion of maintenance threshold, road maintenance priority decision analysis and other management purposes, so as to promote the efficiency and quality of pavement management operation. While, most of the systems have the disadvantages of different maintenance planning decision making approaches, insufficient project construction history data, chaotic use of drawings, too little available knowledge, failure to integrate information and so on, so it is unable to establish an effective system to assist engineers as the control function, which causes a major obstacle relative to the development of pavement management system. The loss of pavement engineering history data with time would cause difficulty in data collection for future pavement analysis. Therefore, how to resolve the above problems becomes a major assistance for the future pavement maintenance knowledge decision management. The study establishes cloud computing pavement information decision management platform in the form of implementation via Google public cloud computing, validates the feasibility through practical cases, utilizes cloud drive real-time data processing, electronic document management, graphical pavement information and figuration management analysis through the software provided by Google, improves the budget for control efficiency and enhances the promotion of pavement management system, so as to accord with the study objective.

Research Note: The Paradox of Cloud Computing in Japan

Cloud Computing is defined as computer usage delivered as a service over the Internet. This cloud computing is classified as public computing, private computing, or hybrid computing. Public cloud computing is open to any customer who pays service charges. On the contrary, private cloud computing is used by a member of a company who has constructed a cloud computing system over a restricted domain on that company's information infrastructure. Hybrid cloud computing is a mix of both the public and private. Which type of cloud computing is popular in Japan? To answer this question I mailed questionnaires to 2,284 enterprises listed on the Tokyo Stock Exchange Market in 2012 and 2013. I analyzed the relationship between these answers and financial indexes using a multinomial logistic regression model. I concluded that the total assets was the most effective factor in the decision to introduce the public cloud, and the accumulated profit was one of the most effective factors in the decision to introduce the hybrid cloud. These findings are not consistent with orthodox price theory.

Cloud Computing for Universities: A Prototype Suggestion and use of Cloud Computing in Academic Institutions

Now a day’s cloud computing became an attractive area of research and practices over the last few years. An increased number of private and public sector organizations have either adopted cloud company based solutions or seriously consider moving to cloud computing. In this paper we initiated a project designing and setting up a private cloud infrastructure in an academic environment. The objective of this research paper is find alternatives to the use of IT, while leading universities to improve power consumption, energy and obtain cost savings. Public cloud computing has potential to reduce information and communication technology costs by virtualized capital assets such as disk storage but in case of private cloud, university should consider private cloud deployment models to realize scale on demand, rapid platform deployment. Use of cloud computing an university has many benefits such as research projects, files, databases and tools for faculty, staffs and students in the university. It reduces university IT complexity and cost. Researcher runs simulations through message passing interfaces to solve complex problems by no. of virtual machines but we will show a private cloud development for university to support such requirements. The article begins with introduction to cloud computing in universities in first section. In the second section we discuss on characteristic and deployments of cloud computing. Then we discuss the implementation of cloud computing at universities and at last we will see suggested prototype architecture of university campus.

Enhancement of Online Course Development based on a Public Cloud Computing Infrastructure

There are several websites which offer a user with several courses. But the current Online Course structure had failed because of several reasons. Firstly the user have to pay, if the server is down user cannot access the website. The major problem was infrastructure and 24/7 support. To overcome the short comings deploy the website and use throughout the world via internet. This initiates requirement of a cloud. This paper will help in overcoming the drawbacks of the existing system by developing a Online Course model by adding extra features like uploading documents by the professors, viewing video lectures, downloading documents, asking questions, giving answers to the questions, discussing contents of courses among students, etc. and deploying that on Microsoft’s cloud using MS Azure.

Enterprise Data Security Research in Public Cloud Computing

This paper first analyzes the security issues that are hidden in the public Cloud Computing environments, then puts forward to the corresponding solutions of various security issues, and lastly summarizes the importance of choosing suitable cloud service for enterprises.

Cost breakdown of Public Cloud Computing and Private Cloud Computing and Security Issues

The focus of this paper is to distinguish between the issues of private and public cloud computing and what are the challenges faced during Building up your own private and public cloud. which computing out if above two should be implemented in an organization.[12]

Cloud Computing Roadmap: Strategic National and Economic Imperatives

Cloud Computing technology represents the next quantum leap in internet super technology of the 21st century. In a knowledge-base economy, two primary facets of Cloud Computing technology are Internal Cloud Computing (ICC) and External Cloud Computing (ECC) Systems. In Malaysia, both Private Cloud Computing (pCC) and Public Cloud Computing(pCC) options are being concurrently assessed from both economic and security aspects for strategic implementation and adoption in the industry domain. In the design of a strategic roadmap, various Cloud Computing Framework are being reviewed. Of particular interest is the U.S. Commerce Department's National Institute of Standards and Technology(NIST) Cloud Computing Roadmap which is being studied by various governments for adoption and implementation at domestic/national level. This includes Malaysia and its “Cloud Computing Blueprint.” However, not all the strategic thrusts and terms as drafted in the US NIST are conducive for national implementation in Malaysia. Malaysia’s Cloud Computing Roadmap manifests different and unique national economic requirements, taking into account several security input factors. Besides the Internal Cloud Computing (ICC) and External Cloud Computing(ECC) options, other Open Cloud Computing systems are being considered as well in conjunction with other open source Cloud Computing platforms from a three dimension analytical perspectives : I). Technical Advantage; II) Economic Development, and III). Legal and Privacy-related implication.

Public Sector Clouds Beginning to Blossom: Efficiency, New Culture Trumping Security Fears

A common view of public sector cloud computing is that many cloud strategies are stalled in political maneuvering or concerns about intruders gaining access to sensitive areas of government networks. However, numerous agency-by-agency cloud solutions have either already been implemented or are about to launch. Supporting organizations, including governmental agencies and private sector organizations are creating an ecosystem of public sector cloud architectural requirements and best practices that correlate with new cloud grid installations.

IaaS Public Cloud Computing Platform Scheduling Model and Optimization Analysis

IaaS (Infrastructure as a Platform) public cloud is one mainstream service mode for public cloud computing. The design aim of one IaaS public cloud is to enlarge the hardware-usage of whole platform, optimize the virtual machine deployment and enhance the accept rate of service demand. In this paper we create one service model for IaaS public cloud, and based on the waiting-line theory to optimize the service model, the queue length and the configuration of scheduling server. And create one demand-vector based scheduling model, to filter the available host machine according to the match of demand and metadata of available resource. The scheduling model can be bonded with the virtual machine motion to reallocate the resources to guarantee the available rate of the whole platform. The feasibility of the algorithm is verified on our own IaaS public cloud computing platform.

Guidelines on Security and Privacy in Public Cloud Computing

Guidelines on Security and Privacy in Public Cloud Computing