Pub. Date | : April, 2019 |
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Product Name | : The IUP Journal of Computer Sciences |
Product Type | : Article |
Product Code | : IJCS21904 |
Author Name | : Michael Gallagher, Erick Rengifo and Rossen Trendafilov |
Availability | : YES |
Subject/Domain | : Management |
Download Format | : PDF Format |
No. of Pages | : 37 |
Part III narrates instructions on harnessing the power of multicore virtual machine parallel computing environments, suitable for large dataset and heavy computational needs. Also, presents guidance to use the storage cloud (S3) along with computing cloud based on Amazon Elastic Compute Cloud (EC2).
In this section, we describe the steps which allow users to create a multicore virtual machine parallel computing environment. A virtual machine is a computer located on Amazon?s servers. Multicore refers to the number of cores associated with the machine; a typical laptop or desktop may be dual core or quad core. Parallel computing allows simultaneous computing on each core, which is much faster than the normal computing process which is to run a program in serial from core to core. Utilizing a virtual environment allows a researcher to link together a number of machines with multiple cores each. Each machine is called a node.
Cloud computing, Amazon Web Services (AWS), S3, Elastic Compute Cloud (EC2), Virtual computing instance, Linux R, MATLAB