A price-performance analysis of EC2, Google Compute and Rackspace cloud providers for scientific computing

被引:1
|
作者
Ullah, Saeed [1 ]
Awan, M. Daud [1 ]
Khiyal, M. Sikander Hayat [1 ]
机构
[1] Preston Univ, Fac Comp Sci, Islamabad, Pakistan
来源
关键词
Cloud Computing; infrastructure-as-a-service; benchmarking; price-performance analysis; ranking;
D O I
10.22436/jmcs.016.02.06
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
One of the recently emerging areas in cloud computing is deployment of virtual machines across multiple clouds based on providers' ranking. This involves benchmarking of different cloud providers, development of different techniques for selection of candidate providers and frameworks for ranking cloud providers. Existing benchmarking studies are mostly focused on selection of best-fit cloud provider among a set of cloud providers for a particular set of quality attributes based on industry best standard tools and techniques. However, most of the researches are focused on performance of IaaS cloud providers and price-performance analysis is normally ignored while benchmarking IaaS metrics. In this work, we propose a novel QoS based ranking methodology along with price performance analysis that can be used as an input for selecting candidate cloud providers. Our proposed mechanism allows cloud consumers to find the most cost effective virtual machines for a given set of user preferences. As a case study, we present performance evaluation and benchmarking results of three major cloud providers: Google, Amazon and Rackspace. (C) 2016 All rights reserved.
引用
收藏
页码:178 / 192
页数:15
相关论文
共 31 条
  • [21] A Comparative Study on I/O Performance between Compute and Storage Optimized Instances of Amazon EC2
    Shoeb, Abu Awal Md
    Hasan, Ragib
    Hague, Md.
    Hu, Meng
    2014 IEEE 7TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD), 2014, : 970 - 971
  • [22] Performance Evaluation of USP's Cloud Platform and its comparison with Amazon EC2
    Naicker, Ravishel
    Chand, Nikhil
    Raj, Asneel
    Khanam, Ashma
    Lal, Sunil
    2015 2ND ASIA-PACIFIC WORLD CONGRESS ON COMPUTER SCIENCE AND ENGINEERING (APWC ON CSE 2015), 2015,
  • [23] Temporal and Spatial Trend Analysis of Cloud Spot Instance Pricing in Amazon EC2
    Veena, Khandelwal
    Anand, Chaturvedi
    Prakash, Gupta Chandra
    2016 IEEE 14TH INTL CONF ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING, 14TH INTL CONF ON PERVASIVE INTELLIGENCE AND COMPUTING, 2ND INTL CONF ON BIG DATA INTELLIGENCE AND COMPUTING AND CYBER SCIENCE AND TECHNOLOGY CONGRESS (DASC/PICOM/DATACOM/CYBERSC, 2016, : 909 - 912
  • [24] EC2 Performance Analysis for Resource Provisioning of Service-Oriented Applications
    Dejun, Jiang
    Pierre, Guillaume
    Chi, Chi-Hung
    SERVICE-ORIENTED COMPUTING: ICSOC/SERVICE WAVE 2009 WORKSHOPS, 2010, 6275 : 197 - +
  • [25] Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing
    Iosup, Alexandru
    Ostermann, Simon
    Yigitbasi, M. Nezih
    Prodan, Radu
    Fahringer, Thomas
    Epema, Dick H. J.
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2011, 22 (06) : 931 - 945
  • [26] BioVLAB-MMIA: A Cloud Environment for microRNA and mRNA Integrated Analysis (MMIA) on Amazon EC2
    Lee, Hyungro
    Yang, Youngik
    Chae, Heejoon
    Nam, Seungyoon
    Choi, Donghoon
    Tangchaisin, Patanachai
    Herath, Chathura
    Marru, Suresh
    Nephew, Kenneth P.
    Kim, Sun
    IEEE TRANSACTIONS ON NANOBIOSCIENCE, 2012, 11 (03) : 266 - 272
  • [27] Conservative distributed discrete-event simulation on the Amazon EC2 cloud: An evaluation of time synchronization protocol performance and cost efficiency
    Vanmechelen, Kurt
    De Munck, Silas
    Broeckhove, Jan
    SIMULATION MODELLING PRACTICE AND THEORY, 2013, 34 : 126 - 143
  • [28] An Adaptive Machine Learning on Map-Reduce Framework for Improving Performance of Large-Scale Data Analysis on EC2
    Romsaiyud, Walisa
    Premchaiswadi, Wichian
    2013 ELEVENTH INTERNATIONAL CONFERENCE ON ICT AND KNOWLEDGE ENGINEERING (ICT&KE), 2013,
  • [29] A Performance Analysis of Precopy, Postcopy and Hybrid Live VM Migration Algorithms in Scientific Cloud Computing Environment
    Shah, Syed Asif Raza
    Jaikar, Amol Hindurao
    Noh, Seo-Young
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING & SIMULATION (HPCS 2015), 2015, : 229 - 236
  • [30] Google's Cloud Computing Platform-Based Performance Assessment of Machine Learning Algorithms for Precisely Maize Crop Mapping Using Integrated Satellite Data of Sentinel-2A/B and Planetscope
    Kumar, Himanshu
    Kumar, Rohan
    Dutta, Sujay
    Singh, Magan
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2023, 51 (12) : 2599 - 2613