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Amazon Machine Image
Known as:
Amazon Linux
, Amazon Linux AMI
, Ami
An Amazon Machine Image (AMI) is a special type of virtual appliance that is used to create a virtual machine within the Amazon Elastic Compute Cloud…
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17 relations
Amazon Elastic Compute Cloud (EC2)
Amazon Simple Storage Service
CloudBioLinux
FreeBSD
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Broader (2)
Amazon Web Services
Software distribution
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
GEANT 4-based simulation of a micro-CT scanner using cloud resources
V. V. Andriyashen
,
A. Gerasimov
,
A. Provorov
,
M. Demichev
,
D. Kozhevnikov
2017
Corpus ID: 17812328
Research of methods of material recognition using Medipix-based micro-CT scanner MARS requires detailed simulation of passage of…
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2016
2016
Self-adapting parallel metric-space search engine for variable query loads
Khalil Al Ruqeishi
2016
Corpus ID: 64042102
This research focuses on automatically adapting a search engine size in response to fluctuations in query workload. Deploying a…
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2015
2015
Research on the Principle and analysis of Shellshock bug
Longjuan Wang
,
H. Wu
,
Xiaoming Yao
2015
Corpus ID: 58715364
It is inevitable that all the softwares, whatever it is new or used for decades, are suffering from vulnerabilities. However, the…
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2012
2012
Computing on high performance clusters with R : Packages BatchJobs and BatchExperiments Te ch ni ca lR ep or t
B. Bischl
,
Michel Lang
,
Olaf Mersmann
,
J. Rahnenführer
,
C. Weihs
2012
Corpus ID: 14142506
Empirical analysis of statistical algorithms often demands time-consuming experiments which are best performed on high…
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Review
2012
Review
2012
A SURVEY ON CLOUD COMPUTING ARCHITECTURE
Rajpal Choudhary Singhania
2012
Corpus ID: 407649
Cloud computing is Internet-based computing, whereby shared resources, software and information are provided to computers and…
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2012
2012
installing lxml on my Amazon Linux instance
Nitin
2012
Corpus ID: 230444031
2012
2012
Cross Cloud MapReduce : an Uncheatable MapReduce
Yongzhi Wang
,
Jinpeng Wei
2012
Corpus ID: 14143035
MapReduce [1] is becoming a popular data processing application on Cloud Environment. However, security issues make many…
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2011
2011
cloudPEST - A python module for cloud-computing deployment of PEST, a program for parameter estimation
M. Fienen
,
T. Kunicki
,
D. Kester
2011
Corpus ID: 56555878
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Purpose and Scope . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Preliminaries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Python . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 EC2 Command-Line Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 The AWS Console . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Communicating with Nodes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 cloudPEST Concepts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Security Groups . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 EC2 Key Pair . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Amazon Machine Image (AMI) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Instance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 Instance Types and Pricing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 Stopping and Terminating . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 Session . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 Instructions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 General Strategy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Summary of Steps for a Session . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Details and Rationale for Session Steps . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Create Master Image . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Create Slave Image . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 Create Service on Slave . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 Windows Services . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Create Both Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Launch a Master Instance (optional) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Start SSH Tunnel (optional) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Configuring a Port-Forwarding Linux Machine on the Cloud . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 Establish the SSH Tunnel with Port Forwarding on Command Line . . . . . . . . . . . . . . . . . . . . . . . . . . 11 Establish the SSH Tunnel with Port Forwarding Using PuTTY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 Launch beoPEST on the Master . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 Launch Slave Instances . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 Terminate Slaves and Master At Completion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 cloudPEST Classes and Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Classes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 images: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 instances: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 master: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 iii
2011
2011
11 High Performance Computing Clouds
A. Goscinski
2011
Corpus ID: 150378855
ion results in poor performance — despite the fact that performance and ease of use are two unrelated fields. To test performance…
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2010
2010
Automatic Configuration of CESM/CCSM4 on Amazon EC2 Cloud
Sameer Ansari
,
R. Dunlap
2010
Corpus ID: 133296041
The goal is to develop a prototype configurator service that automatically creates Amazon EC2 machine instances running on the…
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