Advanced computing equipment is available in SEIT

SEIT-SoftNet Infrastructure

Part of the SEIT infrastructure can be found in SoftNet. SoftNet is an innovative testbed of devices of different operating systems, both stationary and mobile allowing the creation of software products and systems under different environments and for different purposes. SoftNeet includes also necessary equipment for the collection of context information through various sensors useful for the creation of context-aware applications.

Currently the infrastructure of SoftNet comprises of the following modules:

SoftNet (seit1.in.cs.ucy.ac.cy) cloud server (OpenStack):

NAME Number of CPUs # Cores per CPU CPU Model RAM (GB) Storage (GB)
seit1
(seit1.in.cs.ucy.ac.cy)
2 3 Intel Xeon E5-2620 (6 core, 2 GHz, 15MB, 95W) 24 900

SoftNet (ypatis.in.cs.ucy.ac.cy) cloud server (OpenStack):

NAME Number of CPUs # Cores per CPU CPU Model RAM (GB) Storage (GB)
ypatis
(ypatis.in.cs.ucy.ac.cy)
1 4 Intel Xeon E5-2609 (2.40GHz) 32 600

SoftNet cloud server (Windows Server 2012 RC2):

NAME Number of CPUs # Cores per CPU CPU Model RAM (GB) Storage (GB)
seit2
(seit2.in.cs.ucy.ac.cy)
2 3 Intel Xeon E5-2620 (6 core, 2 GHz, 15MB, 95W) 24 900

SoftNet independent server (CentOS):

NAME Number of CPUs # Cores per CPU CPU Model RAM (GB) Storage (GB)
ourania
(ourania.in.cs.ucy.ac.cy)
1 4 intel xeon E5-2609 4C (2.40GHz) 32 500

SoftNet workstations and mobile modules

  • A number of stationary and mobile general-purpose workstations.
  • Smartphones: 3 with Android OS (Galaxy S3, HTC X One, Galaxy Note 3), 2 with Windows Mobile OS (Nokia Lumia 800, Nokia Lumia 900), 1 with Blackberry (Blackberry Bold 9900).
  • Smartwatches: Samsung Galaxy Gear
  • Tablets: 2 with Android OS (Samsung Galaxy Note GT-N8010, Samsung Galaxy Tab GT-P5100)

SoftNet programmable modules

  • 2 arduino kits
  • 2 raspberry-pi kits
  • Wireless connectivity equipment

SoftNet sensor modules

  • 3 Hue Phillips smart lights
  • 1 water sensor
  • 2 PIR motion sensors
  • 1 temperature sensor
  • 1 humidity sensor
  • 1 accelerometer
  • 3 LDR sensors
  • 1 analog sound sensor
  • 1 body temperature sensor
  • 1 CO2 gas sensor