ANALISIS OVERHEAD SEBAGAI SALAH SATU FAKTOR SKALABILITAS PRIVATE CLOUD COMPUTING UNTUK LAYANAN IAAS

The rapid development of technology leads to improvement in a variety of computing concepts, information and communication technology(ICT). The ICT environment is become more complex and costly. Cloud Computing is one of phenomenon in the new ICT services, Cloud Computing model has three categories...

Full description

Saved in:
Bibliographic Details
Main Authors: , Faisal Suryadi Nggilu, , Teguh Bharata Adji, S.T., M.T., M.Eng., Ph.D.
Format: Theses and Dissertations NonPeerReviewed
Published: [Yogyakarta] : Universitas Gadjah Mada 2012
Subjects:
ETD
Online Access:https://repository.ugm.ac.id/99456/
http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=55952
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universitas Gadjah Mada
id id-ugm-repo.99456
record_format dspace
spelling id-ugm-repo.994562016-03-04T08:46:39Z https://repository.ugm.ac.id/99456/ ANALISIS OVERHEAD SEBAGAI SALAH SATU FAKTOR SKALABILITAS PRIVATE CLOUD COMPUTING UNTUK LAYANAN IAAS , Faisal Suryadi Nggilu , Teguh Bharata Adji, S.T., M.T., M.Eng., Ph.D. ETD The rapid development of technology leads to improvement in a variety of computing concepts, information and communication technology(ICT). The ICT environment is become more complex and costly. Cloud Computing is one of phenomenon in the new ICT services, Cloud Computing model has three categories of services : Infrastructure As A Service (IAAS), Platform As A Service (PAAS), Software As A Service (SAAS). It also has four deployment models which are private cloud computing, community cloud, public cloud and hybrid Cloud. This research aims to determine the overhead of the virtualization environment. It is expected the private cloud with virtual technology, that utilizes the maximum resources does not degrade server scalability. The implementation of private cloud is using OpenStack with configuration multiple interfaces multiple servers. This results indicate that the overhead of a single virtual machine is 114 ms (database server) and 212 ms (webserver), to ten virtual machines are active 615 ms (database server) and 786 ms (webserver). Overhead that occurs on a single VM can still be neglected, despite the performance degradation with increasing number of active virtual machines the execution time of servers application tends to be linear close to shape belongs to the physical servers. [Yogyakarta] : Universitas Gadjah Mada 2012 Thesis NonPeerReviewed , Faisal Suryadi Nggilu and , Teguh Bharata Adji, S.T., M.T., M.Eng., Ph.D. (2012) ANALISIS OVERHEAD SEBAGAI SALAH SATU FAKTOR SKALABILITAS PRIVATE CLOUD COMPUTING UNTUK LAYANAN IAAS. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=55952
institution Universitas Gadjah Mada
building UGM Library
country Indonesia
collection Repository Civitas UGM
topic ETD
spellingShingle ETD
, Faisal Suryadi Nggilu
, Teguh Bharata Adji, S.T., M.T., M.Eng., Ph.D.
ANALISIS OVERHEAD SEBAGAI SALAH SATU FAKTOR SKALABILITAS PRIVATE CLOUD COMPUTING UNTUK LAYANAN IAAS
description The rapid development of technology leads to improvement in a variety of computing concepts, information and communication technology(ICT). The ICT environment is become more complex and costly. Cloud Computing is one of phenomenon in the new ICT services, Cloud Computing model has three categories of services : Infrastructure As A Service (IAAS), Platform As A Service (PAAS), Software As A Service (SAAS). It also has four deployment models which are private cloud computing, community cloud, public cloud and hybrid Cloud. This research aims to determine the overhead of the virtualization environment. It is expected the private cloud with virtual technology, that utilizes the maximum resources does not degrade server scalability. The implementation of private cloud is using OpenStack with configuration multiple interfaces multiple servers. This results indicate that the overhead of a single virtual machine is 114 ms (database server) and 212 ms (webserver), to ten virtual machines are active 615 ms (database server) and 786 ms (webserver). Overhead that occurs on a single VM can still be neglected, despite the performance degradation with increasing number of active virtual machines the execution time of servers application tends to be linear close to shape belongs to the physical servers.
format Theses and Dissertations
NonPeerReviewed
author , Faisal Suryadi Nggilu
, Teguh Bharata Adji, S.T., M.T., M.Eng., Ph.D.
author_facet , Faisal Suryadi Nggilu
, Teguh Bharata Adji, S.T., M.T., M.Eng., Ph.D.
author_sort , Faisal Suryadi Nggilu
title ANALISIS OVERHEAD SEBAGAI SALAH SATU FAKTOR SKALABILITAS PRIVATE CLOUD COMPUTING UNTUK LAYANAN IAAS
title_short ANALISIS OVERHEAD SEBAGAI SALAH SATU FAKTOR SKALABILITAS PRIVATE CLOUD COMPUTING UNTUK LAYANAN IAAS
title_full ANALISIS OVERHEAD SEBAGAI SALAH SATU FAKTOR SKALABILITAS PRIVATE CLOUD COMPUTING UNTUK LAYANAN IAAS
title_fullStr ANALISIS OVERHEAD SEBAGAI SALAH SATU FAKTOR SKALABILITAS PRIVATE CLOUD COMPUTING UNTUK LAYANAN IAAS
title_full_unstemmed ANALISIS OVERHEAD SEBAGAI SALAH SATU FAKTOR SKALABILITAS PRIVATE CLOUD COMPUTING UNTUK LAYANAN IAAS
title_sort analisis overhead sebagai salah satu faktor skalabilitas private cloud computing untuk layanan iaas
publisher [Yogyakarta] : Universitas Gadjah Mada
publishDate 2012
url https://repository.ugm.ac.id/99456/
http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=55952
_version_ 1681230548825014272