After completion of a minimum of two terms of full-time study, they may, upon application, be considered by the Faculty Graduate Studies Committee for admission to a PhD program. Applicants should understand that admission is contingent not only upon a superior academic record, but also on the availability of a research supervisor, of relevant programs of study and research, as well as adequate laboratory and library facilities. Where applicable, an ability to write programs in a standard computer language will be assumed.
Big data storage allocation in Cloud computing The challenge to efficiently archive and manage data is intensifying with the enormous growth of data. The demand for big data storage and management has become a challenge in today's industry. There are multiple types of information and the number of locations stored on the Cloud.
Especially, an increasing number of enterprises employ distributed storage systems for storage, management and sharing huge critical business information on the cloud.
The same document may be duplicated in several places. The duplication of documents is convenient for retrieval and efficient. However, it will be difficult to update multiple copies of same documents once the data has been modified.
How does the data management provide the retrieval of data stored in different locations consistently, efficiently and reliably is a complicated task with multiple objectives.
One important open problem is how to make the systems load balancing with minimal update cost. Furthermore, how to make the systems be elastic for effectively utilizing the available resources with the minimal communication cost.
Providing effective techniques for designing scalable, elastic, and autonomic multitenant database systems is critical and challenging tasks.
In addition, ensuring the security and privacy of the data outsourced to the cloud are also important for the success of data management systems in the cloud. It has the great potential to utilize big data for enhancing the customer experience and transform their business to win the market.
Big data enables organizations to store, manage, and manipulate vast amounts of data to gain the right knowledge. Big data is a combination of data-management technologies evolved over time.
How does a company store and access big data to the best advantage?
What does it mean to transform massive amounts of data into knowledge? Obviously, the big data requirements are beyond what the relational database can deliver for the huge volume, highly distributed, and complex structured data.
Traditional relational databases were never designed to cope with modern application requirements — including massive amounts of unstructured data and global access by millions of users on mobile devices that require geographic distribution of data.
In this research, we will identify the gap between Enterprise requirements and traditional relational database capabilities to look for other database solutions.
We will explore the new technology NoSQL data management for big data to identify the best advantage. We will gain an insights into how technology transitions in software, architecture, and process models are changing in new ways.
Top-k queries in uncertain big data Effectively extracting reliable and trustworthy information from Big Data has become crucial for large business enterprises. Obtaining useful knowledge for making better decisions to improve business performance is not a trivial task.
The most fundamental challenge for Big Data extraction is to handle with the data certainty for emerging business needs such as marketing analysis, future prediction and decision making.
It is clear that the answers of analytical queries performed in imprecise data repositories are naturally associated with a degree of uncertainty. However, it is crucial to exploit reliability and accurate data for effective data analysis and decision making. Therefore, this project is to develop and create new techniques and novel algorithms to extract reliable and useful information from massive, distributed and large-scale data repositories.
OLAP is based on a multidimensional data model for complex analytical and ad-hoc queries with a rapid execution time. Those queries are either routed or on-demand revolved around the OLAP tasks. Most such queries are reusable and optimized in the system.
Therefore, the queries recorded in the query logs for completing various OLAP tasks may be reusable. The query logs usually contain a sequence of SQL queries that show the action flows of users for their preference, their interests, and their behaviours during the action.
This research project will investigate the feature extraction to identify query patterns and user behaviours from historical query logs. The expected results will be used to recommend forthcoming queries to help decision makers with data analysis. The purpose of this research is to improve the efficiency and effectiveness of OLAP in terms of computation cost and response time.For PhD thesis it is something like: Let X = date to submit all the paperwork needed to officially complete your thesis with UIC.
Find out from the CS Department. A thesis or dissertation is a document submitted in support of candidature for an academic degree or professional qualification presenting the author's research and findings. In some contexts, the word "thesis" or a cognate is used for part of a bachelor's or master's course, while "dissertation" is normally applied to a doctorate, while in .
Cornell CIS Encouraging Minorities to Consider Academic Careers in STEM Through Summer Programs. Cornell Computing & Information Science (CIS) has made significant strides toward diversity in the past few years, including welcoming through the Engineering College an incoming undergraduate computer science class of 55% women and an incoming computer science PhD .
Apr 07, · Some of the recent trending research topics for a PhD in computer science. Artificial Intelligence. Artificial Intelligence has been one of the interesting concepts for a long time.
Yes, the idea of forming machines that think like humans has been doing the rounds since the s. Thesis or Dissertation. S. Joseph Levine, Ph.D.
Michigan State University East Lansing, Michigan USA ([email protected])) Become a Fan. Introduction. This guide has been created to assist my graduate students in thinking through the many aspects of crafting, implementing and defending a thesis or dissertation. How to Write a PhD Thesis.
How to write a thesis? This guide gives simple and practical advice on the problems of getting started, getting organised, dividing the huge task into less formidable pieces and working on those pieces.