Arcus Cloud A Private Cloud Establishment

2018 ◽  
Vol 6 (3) ◽  
pp. 283-291
Author(s):  
Vishva Patel ◽  
◽  
Dhara Patel ◽  
Sunit Parmar ◽  
◽  
...  
Keyword(s):  
Private Cloud

RANCANG BANGUN CLOUD COMPUTING DI LABORATORIUM KOMPUTER TEKNIK ELEKTRO UNIVERSITAS BANGKA BELITUNG

2014 ◽  
Vol 1 (1) ◽  
pp. 14-22
Author(s):  
Ghiri Basuki Putra
Keyword(s):  
Cloud Computing ◽  
Software As A Service ◽  
Private Cloud ◽  
Private Cloud Computing

Cloud computing telah menjadi hal yang menarik untuk dibahas dikarenakan perkembangannya yang begitu pesat sejak pertama kali diperkenalkan mulai tahun 2000. Pemanfaatan cloud computing kepada penyimpanan data, pemakaian software secara bersama- sama serta penggunaan infrastruktur dan hardware pada jaringan atau komputer yang tergabung dalam sebuah cloud computing. Dengan cloud computing diharapkan adanya efesiensi dan kemudahan dalam  sumber daya baik software, data maupun hardware agar dapat digunakan bersama – sama. Perancangan cloud computing untuk laboratorium komputer Teknik Elektro Universitas Bangka Belitung bertujuan sebagai rancangan awal untuk pengembangan laboratorium komputer serta sebagai pusat pembelajaran dan penelitian cloud computing bagi mahasiswa Teknik Elektro. Perancangan cloud computing ini menggunakan metode Software as a Service (SaaS) dimana SaaS adalah layanan dari Cloud Computing dimana memakai software (perangkat lunak) yang telah disediakan sehingga tidak perlu setiap komputer di laboratorium menginstall software yang diperlukan selama tersedia di layanan Cloud Computing. Rancangan cloud computing di laboratorium menggunakan Private Cloud Computing merupakan pemodelan Cloud Computing yang memberikan lingkup yang lebih kecil untuk dapat memberikan layanan kepada pengguna tertentu misalnya pada sebuah jaringan komputer  lokal maupun pada skala perusahaan kecil maupun menengah.

PEMANFAATAN PRIVATE CLOUD STORAGE SEBAGAI MEDIA PENYIMPANAN DATA E-LEARNING PADA LEMBAGA PENDIDIKAN

2017 ◽  
Vol 10 (2) ◽  
Author(s):  
Irfan Santiko ◽  
Rahman Rosidi ◽  
Seta Agung Wibawa
Keyword(s):  
Cloud Storage ◽  
Private Cloud ◽  
E Learning

Performance Evaluation in an Architecture which Instance Hybrid Resources in Private Cloud

2020 ◽  
Author(s):  
Gabriel Tomiatti Andreazi ◽  
Julio Cezar Estrella ◽  
Sarita Mazzini Bruschi ◽  
Antonio Marcos Almeida Ferreira ◽  
Welington da Silva Martins
Keyword(s):  
Performance Evaluation ◽  
Private Cloud

A preemptive truthful VMs allocation online mechanism in private cloud

2016 ◽  
Vol 17 ◽  
pp. 647-653 ◽  
Author(s):  
Yonggen Gu ◽  
Jie Tao ◽  
Guoqiang Li ◽  
Daniel W. Sun ◽  
Xiaohong Wu ◽  
...  
Keyword(s):  
Private Cloud ◽  
Online Mechanism

scholarly journals Redundant VoD Streaming Service in a Private Cloud: Availability Modeling and Sensitivity Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Rosangela Maria De Melo ◽  
Maria Clara Bezerra ◽  
Jamilson Dantas ◽  
Rubens Matos ◽  
Ivanildo José De Melo Filho ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Cloud Computing ◽  
Hierarchical Modeling ◽  
Video On Demand ◽  
Differential Sensitivity ◽  
Private Cloud ◽  
Streaming Service ◽  
Critical Components ◽  
Modeling Strategy ◽  
Vod Streaming

For several years cloud computing has been generating considerable debate and interest within IT corporations. Since cloud computing environments provide storage and processing systems that are adaptable, efficient, and straightforward, thereby enabling rapid infrastructure modifications to be made according to constantly varying workloads, organizations of every size and type are migrating to web-based cloud supported solutions. Due to the advantages of the pay-per-use model and scalability factors, current video on demand (VoD) streaming services rely heavily on cloud infrastructures to offer a large variety of multimedia content. Recent well documented failure events in commercial VoD services have demonstrated the fundamental importance of maintaining high availability in cloud computing infrastructures, and hierarchical modeling has proved to be a useful tool for evaluating the availability of complex systems and services. This paper presents an availability model for a video streaming service deployed in a private cloud environment which includes redundancy mechanisms in the infrastructure. Differential sensitivity analysis was applied to identify and rank the critical components of the system with respect to service availability. The results demonstrate that such a modeling strategy combined with differential sensitivity analysis can be an attractive methodology for identifying which components should be supported with redundancy in order to consciously increase system dependability.

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