The research paper should be 8 - 9 pages of text in length - not including title page, figures and tables, and references;
It should include a one paragraph abstract and a brief conclusion - Think as if you were writing for a professional journal;
It should use APA format (double-spaced, 12-point Times New Roman font, one inch margins, page numbers with running head in upper right corner)
Should include at least 10 references
RESEARCH PAPER PROPOSAL
Title: storage technology with a focus on data archiving
Research question: though the price of archiving data is usually considered first, how can data be efficiently archived utilizing a scalable data archiving storage system?
Thesis statement: the importance of the archiving data procedure is maximizing space efficiency while maintaining a little impact on other areas.
I. ABSTRACT
Data archiving is very critical for some organizations, especially when handling legal, production, or medical data. While the cost of archiving data is commonly considered first, increasing volumes and retention periods are very important factors that have to be taken into consideration.
The main challenge facing archiving technologies is the inability to effectively detect redundant data in an existing data on storage and in new data. Also, archiving faces the challenge of reducing the wastage that arises as a result of searching metadata.
According to Yan Zhang and Ansari (2014), PRESIDIO framework handles redundancy and minimizing wastage in searching for metadata. It is designed to determine the method that implements the highest compression in a file by optimally weighing the tradeoff between computation time and size reduction and creating a balance using the exhaustive search on all the files under storage.
II. INTRODUCTION
There is continuous growth in the amount of data that is being created and which requires storage. The use of archiving methods provides low-cost storage for large volumes of data over a longer period of time reliably. Archiving storage systems must have the capacity to store large data chunks reliably for a long time and at a low cost.
However, the storage requirements for archiving highly vary from redundant to highly compressed data. There are several data compression algorithms but which vary depending on the granularity of the redundant data. These algorithms face a major challenge when determining the best data compression on highly dependent heterogeneous data forms.
a. Purpose Statement
The purpose of this research is to explore and discuss the novel techniques that are applicable in data archiving using multiple methods of storage that minimize redundancy across high and low entropy data as well as interfile compression using the progressive redundancy elimination of similar and identical data in object (PRESIDIO) framework.
We shall also be looking to identify the solution that is provided by PRESIDIO in the way it identifies similar data in storage, ways of eliminating redundancy in data using specialized storage methods and how the data is finally recorded in the storage system.
III. FACTORS TO BE CONSIDERED
a. Problem Statement
b. Data Archiving Cost
c. Data Retention And Protection
IV. SOLUTION OVERVIEW
a. Proposed Solution
b. Redundant Data Detection
c. Data Storage
V. CONCLUSION
References
Castro, m. (2018). Farsite: federated, available, and reliable storage for an incompletely trusted environment.
Ivanov, G. (2012). Algorithm for constructing an optimal control strategy in a nonlinear differential game with Lipschitz compactly supported payoff. Differential Equations, 48(4), 560-573.