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):
NAMENumber of CPUs# Cores per CPUCPU ModelRAM (GB)Storage (GB)
seit1
(seit1.in.cs.ucy.ac.cy)
23Intel Xeon E5-2620 (6 core, 2 GHz, 15MB, 95W)24900


SoftNet (ypatis.in.cs.ucy.ac.cy) cloud server (OpenStack):
NAMENumber of CPUs# Cores per CPUCPU ModelRAM (GB)Storage (GB)
ypatis
(ypatis.in.cs.ucy.ac.cy)
14Intel Xeon E5-2609 (2.40GHz)32600


SoftNet cloud server (Windows Server 2012 RC2):
NAMENumber of CPUs# Cores per CPUCPU ModelRAM (GB)Storage (GB)
seit2
(seit2.in.cs.ucy.ac.cy)
23Intel Xeon E5-2620 (6 core, 2 GHz, 15MB, 95W)24900


SoftNet independent server (CentOS):
NAMENumber of CPUs# Cores per CPUCPU ModelRAM (GB)Storage (GB)
ourania
(ourania.in.cs.ucy.ac.cy)
14intel xeon E5-2609 4C (2.40GHz)32500

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