scholarly journals Load Balancing Method for Infrastructure as a Service (IaaS) In Cloud Computing: Survey

2015 ◽  
Vol 117 (16) ◽  
pp. 26-30
Author(s):  
Nikhil S.Dharane ◽  
Abhijeet S. Kulkarni ◽  
Akshay U. Bhawthankar ◽  
A.A. Deshmukh
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Infrastructure As A Service

scholarly journals IMPLEMENTASI LOAD BALANCING BERBASIS CLOUD COMPUTING UNTUK MENDUKUNG INFRASTRUCTURE AS A SERVICE MENGGUNAKAN METODE QUICK SORT

Compiler ◽  
2018 ◽  
Vol 7 (1) ◽  
Author(s):  
Hero Wintolo ◽  
Lalu Suwandi Yusuf
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Data Storage ◽  
Data Delivery ◽  
Infrastructure As A Service ◽  
Server Design ◽  
Quick Sort

Implementation of load balancing in cloud computing applications using quick sort method is a study to determine the access speed of each server. Design a cloud computing application using 4 laptops as application users and 3 laptops or PCs as servers in data storage. In sending data performed by the user application, the data will be distributed to the server that has been selected by the system with a quick sort method that sort the rest of the server capacity and then choose the server with the largest capacity. The stored data is placed in the htdocs file on the server. Based on the tests performed, cloud computing applications can run on at least 2 laptops using the windows version. Testing the server is also done by directly using the command prompt. During testing each server receives ping from the application to determine server performance in using load balancing. Testing without load balancing that sends data 50 times of 10 Mb to one server yields speed 15 ms, with 2 server divided by two in its data delivery that is as much as 25 times 10 Mb then speed 12 ms.

scholarly journals Trusted Cloud Platform for Cloud Infrastructure

2013 ◽  
Vol 10 (8) ◽  
pp. 1884-1891
Author(s):  
Punit Gupta ◽  
Deepika Agrawal
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Cloud Service ◽  
Trust Model ◽  
Cloud Infrastructure ◽  
Service Model ◽  
Infrastructure As A Service ◽  
Trust Value ◽  
Trust Models ◽  
Computing Framework

Reliability and trust Models are used to enhance secure , reliable scheduling , load balancing and QoS in cloud and Distributed environment. Trust models that are being used in Distributed and Grid environment, does not qualify cloud computing environment requirements. Since the parameters that have being taken into consideration in these trust models, does not fit in the cloud Infrastructure As A Service, a suitable trust model is proposed based on the existing model that is suitable for trust value management for the cloud IaaS parameters. Based on the above achieved trust values,  trust based scheduling and load balancing  is done for better allocation of resources and enhancing the QOS of services been provided to the users. In this paper, an trust based cloud computing framework is proposed using trust model ,trust based scheduling and load balancing algorithms. Here we describe the design and development of trusted Cloud service model for cloud Infrastructure as a service (IaaS) known as VimCloud .VimCloud an open source cloud computing framework that implements the tusted Cloud Service Model and  trust based scheduling and load balancing algorithm . However one of the major issues in cloud IaaS is to ensure reliability and security or used data and computation. Trusted cloud service model ensures that user virual machine executes only on trusted cloud node, whose integrity and reliability is known in term of trust value . VimCloud shown practical in term of performace which is better then existing models.

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 

A Review on Load Balancing Model Using Best Partition Technique

2017 ◽  
Vol 7 (8) ◽  
pp. 284
Author(s):  
M. Chaitanya ◽  
K. Durga Charan
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Load Balancing ◽  
Load Balance ◽  
Large Impact ◽  
Cloud Environment ◽  
Public Cloud ◽  
The Public ◽  
Partition Technique ◽  
Textual Content

Load balancing makes cloud computing greater knowledgeable and could increase client pleasure. At reward cloud computing is among the all most systems which offer garage of expertise in very lowers charge and available all the time over the net. However, it has extra vital hassle like security, load administration and fault tolerance. Load balancing inside the cloud computing surroundings has a large impact at the presentation. The set of regulations relates the sport idea to the load balancing manner to amplify the abilties in the public cloud environment. This textual content pronounces an extended load balance mannequin for the majority cloud concentrated on the cloud segregating proposal with a swap mechanism to select specific strategies for great occasions.

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