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...
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| Main Authors: | , |
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| Format: | Theses and Dissertations NonPeerReviewed |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2012
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| Subjects: | |
| 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 |
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| Institution: | Universitas Gadjah Mada |
| Summary: | 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. |
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