Cloud Computing Challenges with Emphasis on Amazon EC2 and Windows Azure

2013 ◽  
Vol 5 (5) ◽  
pp. 35-44 ◽  
Author(s):  
Azzam Sleit ◽  
Nada Misk ◽  
Fatima Badwan ◽  
Tawfiq Khalil
Keyword(s):  
Cloud Computing ◽  
Amazon Ec2

scholarly journals Análise de Desempenho de um Simulador de Reservatórios de Petróleo em um Ambiente de Computação em Nuvem

2014 ◽  
Author(s):  
Maicon Alves ◽  
Lúcia Maria Drummond
Keyword(s):  
Cloud Computing ◽  
Microsoft Azure ◽  
Amazon Ec2

A computação em nuvem (cloud computing) é considerada como um novo paradigma de computação distribuída em que os clientes podem acessar recursos diretamente da Internet. Estudos recentes avaliam o uso dos recursos providos pela nuvem para executar aplicações científicas que demandam alto poder computacional. Neste sentido, este trabalho apresenta uma análise de desempenho de um simulador de reservatórios de petróleo a fim de avaliar o comportamento de tal aplicação científica em um ambiente de computação em nuvem provido pelas plataformas Amazon EC2 e Microsoft Azure. Essa análise leva em conta a observação de métricas do sistema operacional e a execução de benchmarks específicos. Os resultados mostram que o overhead de virtualização e o compartilhamento de recursos causam um descréscimo significativo de desempenho em tais aplicações.

scholarly journals Build and Evaluate a Free Virtual Cluster on Amazon Elastic Compute Cloud for Scientific Computing

2017 ◽  
Vol 13 (08) ◽  
pp. 121 ◽  
Author(s):  
Jie Xiong ◽  
Shen-Han Shi ◽  
Song Zhang
Keyword(s):  
Cloud Computing ◽  
Performance Evaluation ◽  
Scientific Computing ◽  
Prototype System ◽  
Virtual Cluster ◽  
Huge Amount ◽  
Computing Systems ◽  
Comprehensive Performance ◽  
Amazon Ec2

Scientific computing requires a huge amount of computing resources, but not all the scientific researchers have an access to sufficient high-end computing systems. Currently, Amazon provides a free tier account for cloud computing which could be used to build a virtual cluster. In order to investigate whether it is suitable for scientific computing, we first describe how to build a free virtual cluster using StarCluster on Amazon Elastic Compute Cloud (EC2). Then, we perform a comprehensive performance evaluation of the virtual cluster built before. The results show that a free virtual cluster is easily built on Amazon EC2 and it is suitable for the basic scientific computing. It is especially valuable for scientific researchers, who do not have any HPC or cluster, to develop and test their prototype system of scientific computing without paying anything, and move it to a higher performance virtual cluster when necessary by choosing more powerful instance on Amazon EC2.

scholarly journals Proses Migrasi Cloud Computing Dari Lingkungan Amazon Ec2 Ke Vmware

2019 ◽  
Vol 8 (1) ◽  
pp. 1
Author(s):  
Jauharul Mafakhiri
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Service Level Agreement ◽  
Service Level ◽  
Cloud Provider ◽  
Test Case ◽  
Infrastructure As A Service ◽  
Amazon Ec2 ◽  
Lock In

Intisari— Permasalahan pada penelitian ini adalah mengenai pengujian virtual machine di tingkat fungsionalitas aplikasi pada lingkungan komputasi awan di antara dua cloud provider IaaS (Infrastructure as a Service). Tujuan dari pengujian fungsionalitas ini adalah untuk mengetahui tingkat interoperabilitas aplikasi dalam sistem virtual machine yang berpindah dari sebuah cloud provider ke cloud provider lain, yaitu migrasi dari Amazon EC2 ke VMWARE. Peneliti memiliki ketertarikan mengenai pengujian migrasi ini sebab perkembangan Internet menjadi semakin pesat, dan diiringi dengan meningkatnya jumlah aplikasi yang memanfaatkan teknologi komputasi awan itu, sementara kemampuan proses bisnis suatu aplikasi semakin bertambah, fitur layanan yang ditawarkan para pihak cloud provider menjadi semakin baik (dari sisi harga menjadi lebih murah, performansi sistem menjadi lebih tinggi, sistem menjadi lebih handal, pemanfaatan kecanggihan teknologi security terbaru, maupun Service Level Agreement (SLA) menjadi lebih baik), maka memungkinkan untuk berpindah layanan ke cloud provider lain, namun di sisi praktik sering terjadi kegagalan fungsionalitas aplikasi dalam proses migrasi ke sistem cloud yang lain, yang antara lain disebabkan oleh masalah ketergantungan terhadap penyedia layanan komputasi awan (vendor lock-in). Masalah ketergantungan ini muncul disebabkan oleh jumlah cloud provider semakin bertanbah banyak dan mempunyai standar tersendiri dalam pembangunan sistemnya, sehingga dapat mengakibatkan kemampuan migrasi antar cloud itu dapat memiliki keterbatasan untuk hal-hal tertentu. Dengan 28 test case pengujian atas fitur-fitur pada aplikasi website ujian online yang diuji pada penelitian ini, diperoleh hasil tingkat interoperabilitas migrasi dari Amazon EC2 ke VMWARE memiliki nilai sebesar 46.43%. Kata kunci— pengujian, fungsionalitas, komputasi, awan, migrasi, interoperabilitas.

scholarly journals Structure of CloudSim Toolkit with Cloud

2019 ◽  
Vol 8 (6) ◽  
pp. 4644-4649 ◽  
Keyword(s):  
Cloud Computing ◽  
Programming Language ◽  
Communication Model ◽  
Structure Programming ◽  
Main Portion ◽  
Amazon Ec2

Cloud computing is a worldview and works on huge scale with circulated registering, that is a repackage of currently using different ideas/advances, for example, utility processing, Grid figuring, Autonomic figuring, IoT innovations, etc. Cloud computing works on the IoT innovations for conveyance the assets to clients on the basis of their interests. As, it creates innovation, different type of issues, for example, encryption, vitality the executives, asset provisioning, dependability should be tended. The goal of said work is to think about the reenactment toolbox is known as CloudSim and a portion of exploration which already addressed the previous issues and utilizing its toolbox. Main portion of the examinations after analysis depend on reproduction in Cloud and utilizing genuine frameworks on the cloud, for example, Amazon EC2, Google, which cost with tedious assignments and furthermore enormous of cloud assets. That requires for accomplish practical outcomes and unreasonable for further analysts. This paper surveys some reenactment apparatuses and thinks about them as far as their hidden structure, programming language, GUI, accessibility, cost demonstrating, vitality displaying, reproduction time, league strategy and its respective communication model

Creating a Custom Virtual Private Cloud and Launch an Elastic Compute Cloud (EC2) Instance in Your Virtual Private Cloud

2020 ◽  
Vol 17 (9) ◽  
pp. 4509-4514
Author(s):  
M. Niranjanamurthy ◽  
M. P. Amulya ◽  
N. M. Niveditha ◽  
P. Dayananda
Keyword(s):  
Cloud Computing ◽  
Web Services ◽  
Hard Disk ◽  
Private Cloud ◽  
Processing Stage ◽  
Remote Server ◽  
Amazon Web Services ◽  
Amazon Ec2 ◽  
The Web

Cloud Computing is regarded to as putting away and getting to data over the web. The hard disk of your PC doesn’t hold this data. In Cloud computing, you can get to information from a remote server. Amazon Web Services (AWS) enables adaptable, solid, versatile, simple to-utilize and practical Cloud computing arrangements. AWS is an extensive, simple to utilize processing stage offered Amazon. A virtual private cloud (VPC) is devoted to the AWS account which is in the AWS cloud that acts coherently detached with different virtual systems. Amazon EC2 is a secure web administration which allows register with the modifiable limit in the cloud .In this work, we are giving route subtleties of Creating a custom VPC and dispatch an EC2 Instance in your VPC.

scholarly journals Cloud-based Geophysical Inversion Modeling Using GNU Octave and MatlabMPI on Amazon EC2

2017 ◽  
Vol 13 (09) ◽  
pp. 101
Author(s):  
Jie Xiong ◽  
Song Zhang ◽  
Yuantao Chen
Keyword(s):  
Cloud Computing ◽  
Modeling And Simulation ◽  
Computer Modeling ◽  
Limited Resources ◽  
Simulation Platform ◽  
Geophysical Inversion ◽  
Computer Modeling And Simulation ◽  
Amazon Ec2 ◽  
Computational Resources ◽  
The Cost

<p class="16">Computer modeling and simulation can be very demanding in terms of computational resources. Cloud computing has opened up new avenues for the scientific researchers with limited resources to do complicated simulation. In order to investigate whether cloud computing is suitable for modeling and simulation, we first describe how to build a cloud-based modeling and simulation platform using GNU Octave and MatlabMPI on the Amazon Elastic Compute Cloud (EC2). Then, we evaluation its performance taking the geophysical inversion modeling as an example. The results show that the cloud-based modeling and simulation platform is suitable for basic modeling for free. It can provide much more higher performance with acceptable price. Furthermore, we can cut down the cost by  employing the Spot instance without losing the computation performance.</p>

Cloud-Computing: eHealth aus der Wolke

2018 ◽  
Vol 23 (11) ◽  
pp. 38-41
Author(s):  
Sebastian Krolop ◽  
Florian Benthin ◽  
Constanze Knahl
Keyword(s):  
Cloud Computing ◽  
Point Of Care

Cloud-Computing gewinnt auch in Kliniken zunehmend an Bedeutung. Über das Internet bereitgestellte Lösungen verändern nicht nur Verwaltung und Logistik – im klinischen Bereich geht es zum Beispiel um die Nutzung elektronischer Patientenakten am Point-of-Care.

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