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Length:
128 pages

Date published 
April 2010

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Cloud Computing in Life Sciences R&D - Table of Contents

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Author: Ken Rubenstein, PhD

EXECUTIVE SUMMARY
Technology
Applications
Markets
Conclusions

CHAPTER 1 
INTRODUCTION

1.1. Factors Driving Use of Cloud Computing in Life Sciences R&D
1.2. Goals and Organization of the Report

CHAPTER 2 
EVOLUTION OF CLOUD COMPUTING AND TECHNICAL BACKGROUND

2.1. Definition of Cloud Computing
2.2. Evolution of Cloud Computing
Computer Clusters
2.3. Key Concepts
High-Performance Computing (HPC)
Virtual Computing
Grid Computing
Utility Computing
MapReduce and Hadoop

CHAPTER 3 
TECHNOLOGY
3.1. Cloud Models
3.2. Services
Software-as-a-Service
Platform-as-a-Service
Infrastructure-as-a-Service
Cloud Storage
3.3. Security
3.4. The Cloud Definition Revisited
3.5. Approaches of Cloud Computing Providers

Approaches of Major Players
 Amazon Web Services
 Google
 Microsoft
 Hewlett-Packard (HP)
 IBM
 Others
Approaches of Small Companies and Specialty Players
 Cloudera
 Cycle Computing
 Darkstrand
 EMC
 GenoLogics
 GenomeQuest
 Geospiza
 Gridcore
 Nirvanix
 Ocarina Networks
 NVIDIA
 ParaScale
 Penguin Computing
 Platform Computing
 RightScale
 Univa UD

CHAPTER 4
APPLICATIONS
4.1. Next-Generation Sequencing
4.2. Docking Studies
4.3. -Omics Data Analysis
4.4. Personalized Medicine
4.5. Clinical Studies

CHAPTER 5
MARKET DYNAMICS
5.1. Market Segmentation
5.2. Service Providers
5.3. User Survey

Respondents and Their Organizations
Nature of Respondents’ Work Activities
Involvement in Cloud Computing
Reasons for Interest in Cloud Computing
Cloud Services of Greatest Interest
Cloud-Type Preferences
Reasons for Concern over Public and Hybrid Clouds
Applications Which Respondents Use or Supervise
Likelihood That Selected Applications Will Be Run in the Cloud
Anticipated Increases in Data Processing and Storage Requirements
Current and Projected Budgets for Life Sciences R&D Cloud Computing
User Perceptions about Cloud Computing
User Perceptions about Companies Involved in Cloud Computing

CHAPTER 6 
INTERVIEW TRANSCRIPTS
6.1. Steven Muskal, PhD, Chief Executive Officer, Eidogen-Sertanty
6.2. David Dooling, PhD, Assistant Director, Informatics, The Genome Center at Washington University in St. Louis
6.3. Giles Day, Senior Director, Biotherapeutics Informatics, Pfizer
6.4. Todd Smith, PhD, Chief Science Officer, Geospiza
6.5. Ronald Ranauro, President and Chief Executive Officer, Director, GenomeQuest

Tony Flynn, Chief Marketing Officer, GenomeQuest
6.6. Michael Schatz, Research Assistant, University of Maryland, Center for Bioinformatics and Computational Biology

CHAPTER 7
GENERAL OBSERVATIONS AND CONCLUSIONS
7.1. Issues
Cost
Moving Data Into and Out of the Cloud
Security
7.2. The Future
Third-Generation Technologies
Other Perspectives on the Future
7.3. Observations and Conclusions

REFERENCES

COMPANY INDEX WITH WEB ADDRESSES