Internship Training For-mca-bca Final Year-big Data-ieee-2016-bangalore

Internship Training for-MCA-BCA Final year-Big Data-IEEE-2016-Bangalore



Greeting From Cegonsoft pvt ltd.

We are providing final year projects.

About projects :

Users of cloud storage usually assign different redundancy configurations (i.e., (k; m;w)) of erasurecodes, depending on the desired balance between performance and fault tolerance. In this paper, we propose CaCo, an efficient Cauchy coding approach for data storage in the cloud. First, CaCo uses Cauchy matrix heuristics to produce a matrix set. Second, for each matrix in this set, CaCo uses XOR schedule heuristics to generate a series of schedules. Finally, CaCo selects the shortest one from all the produced schedules. In such a way, CaCo has the ability to identify an optimal coding scheme, within the capability of the current state of the art, for an arbitrary given redundancy configuration. By leverage of CaCo’s nature of ease to parallelize, we boost significantly the performance of the selection process with abundant computational resources in the cloud.



We are also providing :

Cloud computing - IEEE Big Data PROJECTS

Parallel and Distributed Systems - IEEE Big Data PROJECTS


Internship Training for-MCA-BCA Final year-Big Data-IEEE-2016-Bangalore

Internship Training for-MCA-BCA Final year-Big Data-IEEE-2016-Bangalore

Internship Training for-MCA-BCA Final year-Big Data-IEEE-2016-Bangalore


For more details,contact here
Priyadarshini
priyadarshini.k@cegonsoft.in
8494903775
http://finalyearstudentproject.com/