Data Collector Consolidator
Contents
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: | Dual 2 core Intel processor and i7 intel 5 cores |
| RAM: | 16 GB GB |
| Hard Drive Space VM: | 100 GB internal |
| Network Connection: | 1 Gbit/s Ethernet |
| Minimum required Network Connection: |
Service Environment and Set-up on VM1
The API of the system and the corresponding database are located on VM1. The API is based on the Flask Microframework for Python and running within an Apache Webserver . The database is a MySQL database . The interface is implemented in Python. For setting up the API please download and install the following software:
| Software | Download |
|---|---|
| Apache 2.4 | http://httpd.apache.org/ |
| Python 2.7 | https://www.python.org/download/releases/2.7/ |
| MySQL Server 5.6 (Community Edition) | https://dev.mysql.com/downloads/mysql/ |
| Mod_wsgi for Apache 2.4 and Python 2.7 | http://www.lfd.uci.edu/~gohlke/pythonlibs/#mod_wsgi |
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 Openlink Software Virtuoso Universal server (used as RDF repository in the E-Compass Data Mining Services) requires a software license, which is free of cost for academic use only. In order to run this software productively a commercial license is required. The terms of licensing are available here
OS Environment Variables
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Installation
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Preparation
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Service Configuration
Configuration script
availability / location
README / User Manual
availability / location
Configuration steps
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Configuration of REST endpoints at:
Operation
Service startup procedure
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Restarting the service
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Service Logs
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Recurring Manual Actions / Maintenance Tasks
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Other
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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?
- We are currently managing 20 E-Shops with data for 2 months by average (~30GBs + 20GBs)
- If higher scaling was wanted, which of the hardware parameters would need to be increased?
- RAM and HD storage
- What else would be adjusted for higher scalability?
- …
- Which further configuration would be necessary?
- …
Contact Information Data Collector & Consolidator Service
José Manuel García Nieto, jnieto@lcc.uma.es, +34 951 952924
