Parallelism as the Future of Database processing{1}


The article is called the High Performance Database Processing. Since databases are growing at a very rapid rate, the sizes of the databases in the future are going to be unmanageable when it comes to processing. With large volume of data, sequential processing is not going to be efficient. The article gives an example of how processing a petabyte of data in a database would take 10 days. To solve and reduce the amount of time required to process data, multiple resources are needed to be allocated. The future of databases processing is going to be parallelism, which will split the processing into segments and allocate through a grid environment. Since grid is associated with the cloud, cloud computing is going to play a huge role in the future of databases. Since the article suggests the solution as parallelism, it goes to cover the history of parallelism and how it was developed in the 1980s for special database purposes. Some DBMS vendors have incorporated parallelism and grid features in their products for high performance systems. There have been many researchers that have conducted researches in high performance parallel database processing in the last five years. The article emphasizes the importance of parallelism before new application domains can be addressed.
For future database systems that will require a large size, the author suggests to change processing from sequential to parallel processing, which uses grid infrastructure that is part of cloud computing. Since parallelism as a technology is more efficient because of multi-threading, it will take shorter time to process large amounts of data. I think this article is very important because it focuses on future databases and the technology that is required to process data in a large database. We talk about cloud computing in class and this is good example of how cloud computing can be used to process large amounts of data. I think that parallelism is the future of database processing across a large network. This article is a good incorporation of the different technologies that we talked about in this course.
David Taniar. “High Performance Database Processing” Advanced Information Networking and Applications (AINA), IEEE 26th International Conference (2012): 5-6. IEEE Xplore Digital Library. 26 March. 2012 – 29 March 2012. Web. 20 May 2012. <http://0-ieeexplore.ieee.org.opac.library.csupomona.edu/stamp/stamp.jsp?tp=&arnumber=6184986>