%0 Conference Paper
%A Nama, Gigih Forda
%A komarudin, Muhamad
%A Priambodo, Hanang
%A ., Mardiana
%A Septama, Hery Dian
%B Regional Conference on Computer and Information Engineering 2014 (RC-CIE 2014)
%C  Eastparc Hotel, Yogyakarta
%D 2014
%F eprints:5264
%P 184-189
%T Electricity, Temperature, and Network Utilization   Monitoring at University of Lampung Data Centre   Using Low Cost Low Power Single Board Mini   Computer 
%U http://digilib.unila.ac.id/5264/
%X Abstract–  A service-level agreement (SLA)  defined contract of   service between Service Provider and Customer. Usually this   document  contain  technical values.  Customer needs  monitor its   services to ensure the service comply with SLA. Nowadays, energy   efficiency is one of most significant issue. How to provide low cost   and low power  for  electricity, temperature,  network  utilization   monitoring was carried out in this paper. Raspberry Pi BCM2835   as  a  mini computer  was  used  to    ran  the services  monitoring.   Testbed has been deployed in University of Lampung (Unila) data   centre.  The systems was built base on modified waterfall software   engineering principles. The result presented that the system was   running properly  and provided  data  statistics  of electricity,   temperature, and network utilization through an interactive   website  interface  that  generated by python script. Any peculiar   condition informed immediately to network administrator via sms   or email  for  properly  treatment.    During testbed  throughout a   month on June 2014, peak time  for  daily  bandwidth  utilization   occurred  at working hours,  starting from 8 am to 4 pm.   Maximum temperature  recorded was  380  C and minimum  was   150  C. For a month there were accumulated total 15.456 hours for   electricity  black  out. The usage  of cpu resource  show  less than   20%, and memory usage average on 58%.   All data from this   application  was  used  by top IT management, to evaluated   electricity and internet service SLA.      Keywords:  python programming,  green computing,  electricity   monitoring, temperature monitoring, network monitoring