Data Analyser

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Physical Hardware Characteristics

Model:
Processor:
RAM:
Hard Drive Space:
Network Connection:
Hypervisor used:
Physical Load Balancing:

Virtual Machine Hardware Specifications and Operating System

Guest Operating System:
Processor:
RAM: GB
Hard Drive Space VM:
Network Connection:
Minimum required Network Connection:

Service Environment and Set-up on VM1

Required Software
Software Download
Software-Name Software-Link
Software-Name Software-Link
Software-Name Software-Link

Software Licenses

Please indicate if a commercial provider would need to buy commercial licenses of a certain software used for operating the service and – if so – what cost this may produce approximately

OS Environment Variables

Installation

DATABASE

First of all, a MySQL or SQL Server database must be configured so that REST services an R data mining processes can both properly work. Currently those two database types are supported in both JAVA REST services and R processes, but other database types could be considered (if necessary).

  1. MySQL general schema
  1. SQL Server general schema

In the following lines, required database schema and tables will be described.  

MySql

After creating a new database in a MySQL server, those are needed code sentences in order to create the required tables:

  1. E-shops table

IMAGE 1 Figure 1: E-Shops table CREATE code for MySQL

  1. Competitors table

IMAGE 2 Figure 2: Competitors table CREATE code for MySQL

  1. Products table

IMAGE 3 Figure 3: Products table CREATE code for MySQL 4. Visitors table

Figure 4: Visitors table CREATE code for MySQL   SQL Server After creating a new database in a SQL Server server, those are needed code sentences in order to create the required tables: 1. E-shops table

Figure 5: E-Shops table CREATE code for SQL Server 2. Competitors table

Figure 6: Competitors table CREATE code for SQL Server   3. Products table

Figure 7: Products table CREATE code for SQL Server 4. Visitors table

Figure 8: Visitors table CREATE code for SQL Server


Preparation

Service Configuration

Configuration script

availability / location

README / User Manual

availability / location

Configuration steps

… Configuration of REST endpoints at: …

Operation

Service startup procedure

Restarting the service

Service Logs

Recurring Manual Actions / Maintenance Tasks

Other

Limitations of the service

With which parameters does the service scale?

How many concurrent E-Shops, how many concurrent products and how many users/E-Shop customers are possible without causing loss in quality/speed for the hardware described above?

If higher scaling was wanted, which of the hardware parameters would need to be increased?
What else would be adjusted for higher scalability?
Which further configuration would be necessary?

Contact Information Data Analyser

José Manuel García Nieto, jnieto@lcc.uma.es, +34 951 952924