Necessity to Design of New DBMS Platforms for Data Analysis in Market-oriented Cloud Computing: Properties and Limitations of Data Analysis

摘要

Adopting an cloud computing strategy can help businesses conduct their core business activities with less hassle and greater efficiency. Companies can maximize the use of their existing hardware to plan for and serve specific peaks in usage. Thousands of virtual machines and applications can be managed more easily using a cloud-like environment. Businesses can also serve on power costs as they reduce the number of servers required. And with IT staff spending less time managing and monitoring the data centre, IT teams are well placed to further streamline their operations as staff complete more work on fewer machines. There exist an increasing number of large companies that are offering cloud computing infrastructure products and services in market-oriented programming that co not entirely resemble the vision of these individual companies' topics. This paper present a list of features that a DBMS designed for large scale data analysis tasks used by large companies and will focus on two classes of software commercially available to perform the data analysis. We discuss the properties and limitations of data analysis emerging market-oriented cloud computing platforms. At last we show that none of these software match the above said features. Thus we express the need for a new DBMS design for market-oriented cloud computing environments.