Difference between revisions of "Data Collector Consolidator"

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=== Limitations of the service ===
 
=== Limitations of the service ===
−
; How many concurrent E-Shops with how many concurrent products are possible without causing loss in quality/speed for the hardware described above?
+
; With which parameters does the service scale?
 +
{{comment|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)
 
: 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?
 
; If higher scaling was wanted, which of the hardware parameters would need to be increased?

Revision as of 00:00, 21 December 2015

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

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 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

…

Installation

…

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?

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