ASAAS: Application Software as a Service for High Performance Cloud Computing

2010 ◽  
Author(s):  
Zhengxiong Hou ◽  
Xingshe Zhou ◽  
Jianhua Gu ◽  
Yunlan Wang ◽  
Tianhai Zhao
Keyword(s):  
Cloud Computing ◽  
High Performance ◽  
Software As A Service ◽  
Application Software

ANALISIS EFEKTIFITAS FRAMEWOK ERP CLOUD COMPUTING UNTUK USAHA KECIL MENENGAH

2018 ◽  
Vol 3 (1) ◽  
pp. 19 ◽  
Author(s):  
Matheus Alvian Wikanargo ◽  
Novian Adi Prasetyo ◽  
Angelina Pramana Thenata
Keyword(s):  
Cloud Computing ◽  
Human Resource ◽  
Software As A Service ◽  
Infrastructure As A Service ◽  
Computing Framework

AbstrakTeknologi cloud computing pada era sekarang berkembang pesat. Penerapan teknologi cloud computing sudah merambah ke berbagai industri, mulai dari perusahaan besar hingga perusahaan kecil dan menengah. Perambahan cloud computing di perindustrian berupa implementasi ke dalam sistem ERP. Namun, penetrasi teknologi ini dalam lingkup perusahaan kecil dan menengah (UKM) masih belum sekuat perusahaan besar. Penerapan ERP berbasis cloud computing yang masih tergolong baru tentu memiliki keuntungan dan penghambat yang mempengaruhi kinerja perusahaan. Hal tersebut menjadi salah satu pertimbangan UKM masih enggan menggunakan teknologi ini. Penelitian ini akan menganalisis framework yang paling sesuai untuk UKM dalam menerapkan sistem ERP berbasis cloud computing. Framework yang dianalisa yaitu Software as a Service (SaaS), Infrastructure as a Service (IaaS), dan Platform as as Service (PaaS). Ketiga framework ini akan dibandingkan menggunakan metode studi literatur. Tolak ukur yang menjadi acuan untuk perbandingan adalah Compatibility, Cost, Flexibility, Human Resource, Implementation, Maintenance, Security, dan Usability. Faktor-faktor tersebut akan diukur keuntungan dan penghambatnya jika diterapkan dalam SME. Hasil dari penilitian ini adalah Framework SaaS yang paling cocok untuk diterapkan pada perusahaan kecil dan menengah. Kata kunci— Cloud Computing, UKM, SaaS, IaaS, PaaS 

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.

Synthezis the strucrure of cloud computing system to control of mobile robots group

2016 ◽  
Vol 11 (1) ◽  
pp. 72-80
Author(s):  
O.V. Darintsev ◽  
A.B. Migranov
Keyword(s):  
Cloud Computing ◽  
Mobile Robots ◽  
Distinctive Feature ◽  
Information Exchange ◽  
High Performance ◽  
Computing System ◽  
Control Information ◽  
Cloud Computing System ◽  
Group Control ◽  
Reliability And Robustness

In article one of possible approaches to synthezis of group control of mobile robots which is based on use of cloud computing is considered. Distinctive feature of the offered techniques is adequate reflection of specifics of a scope and the robots of tasks solved by group in architecture of control-information systems, methods of the organization of information exchange, etc. The approach offered by authors allows to increase reliability and robustness of collectives of robots, to lower requirements to airborne computers when saving summary high performance in general.

A Study of the Cloud Computing Adoption Issues and Challenges

2020 ◽  
Vol 13 (3) ◽  
pp. 313-318 ◽  
Author(s):  
Dhanapal Angamuthu ◽  
Nithyanandam Pandian
Keyword(s):  
Cloud Computing ◽  
High Performance ◽  
Cloud Service ◽  
Ease Of Use ◽  
Modern Trend ◽  
Security Issues ◽  
Research Areas ◽  
Data Location ◽  
Broad Classification

<P>Background: The cloud computing is the modern trend in high-performance computing. Cloud computing becomes very popular due to its characteristic of available anywhere, elasticity, ease of use, cost-effectiveness, etc. Though the cloud grants various benefits, it has associated issues and challenges to prevent the organizations to adopt the cloud. </P><P> Objective: The objective of this paper is to cover the several perspectives of Cloud Computing. This includes a basic definition of cloud, classification of the cloud based on Delivery and Deployment Model. The broad classification of the issues and challenges faced by the organization to adopt the cloud computing model are explored. Examples for the broad classification are Data Related issues in the cloud, Service availability related issues in cloud, etc. The detailed sub-classifications of each of the issues and challenges discussed. The example sub-classification of the Data Related issues in cloud shall be further classified into Data Security issues, Data Integrity issue, Data location issue, Multitenancy issues, etc. This paper also covers the typical problem of vendor lock-in issue. This article analyzed and described the various possible unique insider attacks in the cloud environment. </P><P> Results: The guideline and recommendations for the different issues and challenges are discussed. The most importantly the potential research areas in the cloud domain are explored. </P><P> Conclusion: This paper discussed the details on cloud computing, classifications and the several issues and challenges faced in adopting the cloud. The guideline and recommendations for issues and challenges are covered. The potential research areas in the cloud domain are captured. This helps the researchers, academicians and industries to focus and address the current challenges faced by the customers.</P>

Massive Image Treatment System Based on Cloud Computing Platform

2014 ◽  
Vol 687-691 ◽  
pp. 3733-3737
Author(s):  
Dan Wu ◽  
Ming Quan Zhou ◽  
Rong Fang Bie
Keyword(s):  
Image Processing ◽  
Cloud Computing ◽  
High Performance ◽  
Large Scale ◽  
Processing System ◽  
Virtual Space ◽  
Image Processing System ◽  
Computing Platform ◽  
Simulation Calculation ◽  
Computer Resources

Massive image processing technology requires high requirements of processor and memory, and it needs to adopt high performance of processor and the large capacity memory. While the single or single core processing and traditional memory can’t satisfy the need of image processing. This paper introduces the cloud computing function into the massive image processing system. Through the cloud computing function it expands the virtual space of the system, saves computer resources and improves the efficiency of image processing. The system processor uses multi-core DSP parallel processor, and develops visualization parameter setting window and output results using VC software settings. Through simulation calculation we get the image processing speed curve and the system image adaptive curve. It provides the technical reference for the design of large-scale image processing system.

VORDi*

2021 ◽  
Vol 12 (4) ◽  
pp. 0-0
Keyword(s):  
Cloud Computing ◽  
Information Systems ◽  
Requirements Engineering ◽  
Systems Engineering ◽  
Early Phase ◽  
Service Providers ◽  
Software As A Service ◽  
New Approach ◽  
Computing Services ◽  
Cloud Computing Services

Cloud computing services mature both economically and technologically and play a more and more extensive role in the domain of software and information systems engineering. SaaS offers advantage for both service providers and consumers. SaaS is faced with the question of appropriate techniques applying at early phase of Requirements engineering of producing system. The paper highlights two traditional methods namely i* and VORD belonging respectively to Goal oriented Requirements Engineering and Viewpoints approaches. The approach proposed try to dealing with the requirements elicitation in the context of Software-as-a-service SaaS. So, the approach benefits from strengths of both VORD and i* models and propose a combination of them in a new approach namely VORDi*.

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