Software Managemebt

CS501K_FINAL PROJECT_13125ns

NAME : Nagarappu Sylvester Stallone

STUDENT ID : 13125ns

COURSE : CS501_k - Advanced Structured Programming and Algorithms

HW # FINAL PROJECT

ROLL NO = 35

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CS501D-E (Introduction to Algorithms): Final Project – the FFT on big data

Date: Aug. 24, 2014

Instructor: Dr. Z Shi

FFT is one of most powerful algorithms widely used in scientific research and

engineering. Today’s cloud computing generates gigantic database. The big data

analysis becomes a professional career.

Big data analytics is the process of examining large amounts of different data

types, or big data, in an effort to uncover hidden patterns, unknown correlations

and other useful information. Such information can provide competitive

advantages over rival organizations and result in business benefits, such as

more effective marketing and increased revenue.

FFT becomes an excellent tool to search a hidden intrinsic features embedded

inside the big data file.

Here is the scope of the CS501 final project.

(1) Generate 4096 data samples from a chirp pattern. One may extend

sampling size from 4096 to million to mimic real big data.

Answer :

Mimic Real Big Data:

Data sets that are too large and complex to manipulate or interrogate with standard

methods or tools.

Advanced Format is a generic term used to store data on magnetic disks in (HDDs) that

exceeds 512 to 520 bytes per sector, such as the 4096-bytes of the first-generation Advanced

Format hard disk drives.(i.e..,4096 sample data bits of data equal to 4KB sector)..

Larger sectors use the storage surface area more efficiently for large files but less efficiently for

smaller files.

Means we arranging the Data from million to mimic real data.

The Traditional 512 byte sector used in the harddiskdrives and in various chirp pattern

generating into a real big data.

The Advanced Format logo was created to distinguish...