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Performance Evaluation of Cloud Computing Resources

Muhammad Sajjad, Arshad Ali, Ahmad Salman
2018 International Journal of Advanced Computer Science and Applications  
We analyzed and compared the performance of OpenStack and Windows Azure platforms by considering resources like CPU, memory, disk and network in a real cloud setup.  ...  In this work, we focused on Infrastructure as a Service (IaaS) facility of cloud computing. We made a performance evaluation of two renowned public and private cloud platforms.  ...  [4] Early Observations on the Performance of Windows Azure Windows Azure virtual machines, storage services Real Time Implementation This work Performance Analysis and Evaluation of Cloud  ... 
doi:10.14569/ijacsa.2018.090824 fatcat:fl5h2q32pbav5ip7ays3dvl2da

CloudFTP: A Case Study of Migrating Traditional Applications to the Cloud

Liang Zhou
2013 2013 Third International Conference on Intelligent System Design and Engineering Applications  
We implement FTP service on Windows Azure Platform along with the auto-scaling cloud feature. Based on this, we implement a benchmark to measure the performance of our CloudFTP.  ...  The cloud computing is growing rapidly for it offers on-demand computing power and capacity. The power of cloud enables dynamic scalability of applications facing various business requirements.  ...  CLOUD SERVICES WITH AZURE Windows Azure is the cloud computing platform offered by Microsoft.  ... 
doi:10.1109/isdea.2012.108 fatcat:k2tlcepkcnabvorfk6e36zvzrm

Rapid 3D Seismic Source Inversion Using Windows Azure and Amazon EC2

Vedaprakash Subramanian, Hongyi Ma, Liqiang Wang, En-Jui Lee, Po Chen
2011 2011 IEEE World Congress on Services  
In addition, we notice that both cluster and Amazon EC2 have obviously better performance than Windows Azure.  ...  This paper presents our experience on designing and implementing seismic source inversion on both cluster (specifically, MPI-based) and cloud computing (specifically, Amazon EC2 and Microsoft Windows Azure  ...  Section 4 shows the experimental results on cluster computing and cloud computing platforms (Amazon EC2 and Windows Azure). Section 5 presents the related work.  ... 
doi:10.1109/services.2011.90 dblp:conf/services/SubramanianMWLC11 fatcat:euwfiuctu5bq7buikf3hxf5ysq

Evaluating Cloud Platform Architecture with the CARE Framework

Liang Zhao, Anna Liu, Jacky Keung
2010 2010 Asia Pacific Software Engineering Conference  
With the unified interface, we are able to perform selective high-stress and low-stress evaluations corresponding to desired test scenarios.  ...  There is an emergence of cloud application platforms such as Microsoft's Azure, Google's App Engine and Amazon's EC2/SimpleDB/S3.  ...  Nevertheless, the Cloud hosting servers of Amazon EC2 and Microsoft Windows Azure are instance based. The computing resources for one instance are pre-configured.  ... 
doi:10.1109/apsec.2010.17 dblp:conf/apsec/ZhaoLK10 fatcat:pxwxrx4gxregfde6knqklreg6q

Small and Medium Enterprise ERP Platform Based on Windows Azure Cloud Computing

2022 Academic Journal of Business & Management  
The purpose of this paper is to design an ERP platform for small and medium enterprises based on Azure Windows cloud computing.  ...  On the basis of in-depth understanding of the basic concepts and principles of cloud computing, e-commerce and ERP systems, the ERP platform of e-commerce cloud e-commerce system is designed and completed  ...  Acknowledgements Science and Technology Project of Jiangxi Provincial Education Department -Research on Management Innovation of Small and Medium-sized Enterprises Based on Cloud Computing Technology Environment  ... 
doi:10.25236/ajbm.2022.040203 fatcat:wvvxwosgqfe2di4oe7mcepdhue

Mobile Cloud Computing: Offloading Mobile Processing to the Cloud

Sanjay P. Ahuja, Jesus Zambrano
2016 Computer and Information Science  
<p class="zhengwen">The current proliferation of mobile systems, such as smart phones and tablets, has let to their adoption as the primary computing platforms for many users.  ...  This research uses cloud computing as processing platform for intensive-computation workloads while measuring energy consumption and response times on a Samsung Galaxy S5 Android mobile phone running Android  ...  Acknowledgement This research was supported by the FIS Distinguished Professorship Award in Computer and Information Sciences awarded to Dr. Sanjay Ahuja.  ... 
doi:10.5539/cis.v9n1p90 fatcat:vfynam7oivajjo7k7xus5kkasa

Can Cloud Computing Be Used for Planning? An Initial Study

Qiang Lu, You Xu, Ruoyun Huang, Yixin Chen, Guoliang Chen
2011 2011 IEEE Third International Conference on Cloud Computing Technology and Science  
Evaluation in Windows Azure Evaluation In A Local Cloud Conclusions  A portfolio search algorithm which is suitable for cloud computing is proposed  The portfolio of MRW algorithm is implemented in  ...  a local cloud and the Windows Azure platformThe proposed algorithm is economically sensible in clouds and robust under processor failures Outline Cloud Computing MRW PMRW Enhanced PMRW  ... 
doi:10.1109/cloudcom.2011.11 dblp:conf/cloudcom/LuXHCC11 fatcat:4r5qjfxkr5gh5bulu25aftgcea

Reporting an Experience on Design and Implementation of e-Health Systems on Azure Cloud [chapter]

Shilin Lu, Rajiv Ranjan, Peter Strazdins
2013 Lecture Notes in Computer Science  
The Windows Azure cloud computing platform is selected as an example public cloud platform for our study.  ...  We conducted several performance evaluation experiments to understand the Quality Service (QoS) tradeoffs of our applications under variable workload on Azure.  ...  for evaluating the Quality of Service (QoS) features of our application on Windows Azure.  ... 
doi:10.1007/978-3-642-41428-2_12 fatcat:ytchntfsivbqffihvedzpyxq3u

AzureBlast

Wei Lu, Jared Jackson, Roger Barga
2010 Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing - HPDC '10  
While we carry out our performance evaluation on Microsoft's Windows Azure the results readily generalize to other cloud platforms.  ...  In our paper we introduce a methodology that we use to study the applicability of cloud platforms to scientific computing and analyze the results from our study.  ...  To evaluate the performance and scalability of AzureBlast, we deploy our implementation on the Windows Azure platform.  ... 
doi:10.1145/1851476.1851537 dblp:conf/hpdc/LuJB10 fatcat:risrsqfi6nfmnk3qtzalqiotzi

Geoprocessing in Cloud Computing platforms – a comparative analysis

Peng Yue, Hongxiu Zhou, Jianya Gong, Lei Hu
2012 International Journal of Digital Earth  
The performance evaluation is also performed over geoprocessing services deployed in public Cloud platforms.  ...  This paper provides a comparative analysis of geoprocessing in Cloud Computing platforms Á Microsoft Windows Azure and Google App Engine.  ...  Acknowledgments We are grateful to the anonymous four reviewers for their valuable comments.  ... 
doi:10.1080/17538947.2012.748847 fatcat:ww6vgjs5ube45doa6l7e36jnaq

Performance Evaluation of Virtualization in a Private Cloud Test Bed

Subasish Mohapatra, Subhadarshini Mohanty, Arunima Hota, Shradha Pattanayak
2017 International Journal of Computer Applications  
Services provided by clouds are high performance computing, storage and application hosting.  ...  Cloud computing is an interesting topic which is applied in the field of parallel and distributed computing.  ...  The Windows Azure compute service is provide infrastructure, platform or application services. based, of course, on Windows.  ... 
doi:10.5120/ijca2017913386 fatcat:o7fupej5jrdpnegvsbymzumwbu

Towards an MPI-Like Framework for the Azure Cloud Platform

Dinesh Agarwal, Sara Karamati, Satish Puri, Sushil K. Prasad
2014 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing  
INDEX WORDS: High-performance computing, Windows Azure, MPI, Cloud computing TOWARDS AN MPI-LIKE FRAMEWORK FOR AZURE CLOUD PLATFORM by SARA KARAMATI  ...  We show that cloud platform can exhibit competitive performance and benefit the users of this platform with its fault-tolerant architecture and on-demand access for a robust solution.  ...  In this work, we conducted a comprehensive evaluation of the performance of communications on Window Azure.  ... 
doi:10.1109/ccgrid.2014.100 dblp:conf/ccgrid/AgarwalKPP14 fatcat:7korqnprojc6jekvkxmp3zc5ua

Evaluation of Auto Scaling and Load Balancing Features in Cloud

Ashalatha R, Jayashree Agarkhed
2015 International Journal of Computer Applications  
The cloud computing system is the newer version of utility computing which has replaced its area at various data centers.  ...  The Load balancer determines when to start or end any virtual machine in the Cloud.  ...  Data storage for application scheduling and rules based on customer performance counters is an added advantage in Windows Azure platform which is not available in other cloud providers [13] .  ... 
doi:10.5120/20561-2949 fatcat:hvrtxxotofhejaqczaps32m4lq

Early observations on the performance of Windows Azure

Zach Hill, Jie Li, Ming Mao, Arkaitz Ruiz-Alvarez, Marty Humphrey
2010 Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing - HPDC '10  
In addition to a detailed performance evaluation of Windows Azure, we provide recommendations for potential users of Windows Azure based on these early observations.  ...  In this paper, we present the results of comprehensive performance experiments we conducted on Windows Azure from October 2009 to February 2010.  ...  Our evaluation of the Windows Azure service begins with the performance of its compute resources and its three primary storage services: Blobs, Queues, and Tables.  ... 
doi:10.1145/1851476.1851532 dblp:conf/hpdc/HillLMRH10 fatcat:smnxkxop3be5ppgok6lesmerxa

Rapid Processing of Synthetic Seismograms Using Windows Azure Cloud

Vedaprakash Subramanian, Liqiang Wang, En-Jui Lee, Po Chen
2010 2010 IEEE Second International Conference on Cloud Computing Technology and Science  
In this paper, we introduce our experience on implementing a computational platform for rapidly computing and delivering synthetic seismograms on Windows Azure.  ...  Traditional high-performance computing platforms is inefficient to handle these applications because rapid computations are needed and large-scale datasets should be maintained.  ...  We [4] implement a high performance workflow system called MRGIS based on MapReduce cloud computing platform to execute GIS applications efficiently.  ... 
doi:10.1109/cloudcom.2010.110 dblp:conf/cloudcom/SubramanianWLC10 fatcat:fcliimhxq5am5mikklpzw2lfky
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