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Book

Cloud Computing with e-Science Applications

Book

Cloud Computing with e-Science Applications

DOI link for Cloud Computing with e-Science Applications

Cloud Computing with e-Science Applications book

Cloud Computing with e-Science Applications

DOI link for Cloud Computing with e-Science Applications

Cloud Computing with e-Science Applications book

ByOlivier Terzo, Lorenzo Mossucca
Edition 1st Edition
First Published 2015
eBook Published 31 January 2017
Pub. Location Boca Raton
Imprint CRC Press
DOI https://doi.org/10.1201/b18021
Pages 320
eBook ISBN 9781315215655
Subjects Computer Science, Engineering & Technology
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Terzo, O., & Mossucca, L. (Eds.). (2015). Cloud Computing with e-Science Applications (1st ed.). CRC Press. https://doi.org/10.1201/b18021

ABSTRACT

The amount of data in everyday life has been exploding. This data increase has been especially significant in scientific fields, where substantial amounts of data must be captured, communicated, aggregated, stored, and analyzed. Cloud Computing with e-Science Applications explains how cloud computing can improve data management in data-heavy fields such as bioinformatics, earth science, and computer science.

The book begins with an overview of cloud models supplied by the National Institute of Standards and Technology (NIST), and then:

  • Discusses the challenges imposed by big data on scientific data infrastructures, including security and trust issues
  • Covers vulnerabilities such as data theft or loss, privacy concerns, infected applications, threats in virtualization, and cross-virtual machine attack
  • Describes the implementation of workflows in clouds, proposing an architecture composed of two layers—platform and application
  • Details infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and software-as-a-service (SaaS) solutions based on public, private, and hybrid cloud computing models
  • Demonstrates how cloud computing aids in resource control, vertical and horizontal scalability, interoperability, and adaptive scheduling

Featuring significant contributions from research centers, universities, and industries worldwide, Cloud Computing with e-Science Applications presents innovative cloud migration methodologies applicable to a variety of fields where large data sets are produced. The book provides the scientific community with an essential reference for moving applications to the cloud.

TABLE OF CONTENTS

chapter 1|16 pages

Evaluation Criteria to Run Scientific Applications in the Cloud

ByEduardo Roloff, Alexandre da, Silva Carissimi, Philippe Olivier, Alexandre Navaux

chapter 2|24 pages

Cloud-Based Infrastructure for Data-Intensive e-Science Applications: Requirements and Architecture

ByYuri Demchenko, Canh Ngo, Paola Grosso, de Laat Cees, Peter Membrey

chapter 3|32 pages

Securing Cloud Data

BySushmita Ruj, Rajat Saxena

chapter |16 pages

Adaptive Execution of Scientific Workflow Applications on Clouds

ByRodrigo N. Calheiros, Kasim Henry, Hung Terence, Li Xiaorong, Lu Sifei, Wang Long, Palit Henry, Lee Gary, Ngo Tuan, Buyya Rajkumar

chapter |26 pages

Migrating e-Science Applications to the Cloud: Methodology and Evaluation

ByStrauch Steve, Andrikopoulos Vasilios, Karastoyanova Dimka, Karolina Vukojevic-Haupt

chapter 6|26 pages

Closing the Gap between Cloud Providers and Scientific Users

ByDavid Susa, Harold Castro, Mario Villamizar

chapter 7|22 pages

Assembling Cloud-Based Geographic Information Systems

A Pragmatic Approach Using Off-the-Shelf Components
ByMuhammad Akmal, Ian Allison, Horacio González–Vélez

chapter 8|30 pages

HCloud, a Healthcare-Oriented Cloud System with Improved Efficiency in Biomedical Data Processing

ByYe Li, Chenguang He, Xiaomao Fan, Xucan Huang, Yunpeng Cai

chapter 9|24 pages

RPig

Concise Programming Framework by Integrating R with Pig for Big Data Analytics
ByMingXue Wang, Sidath B. Handurukande

chapter 10|20 pages

AutoDock Gateway for Molecular Docking Simulations in Cloud Systems

ByZoltán Farkas, Péter Kacsuk, Tamás Kiss, Péter Borsody, Ákos Hajnal, Ákos Balaskó, Krisztián Karóczkai

chapter 11|30 pages

SaaS Clouds Supporting Biology and Medicine

ByPhilip Church, Andrzej Goscinski, Adam Wong, Zahir Tari

chapter 12|20 pages

Energy-Aware Policies in Ubiquitous Computing Facilities

ByMarina Zapater, Patricia Arroba, José Luis Ayala Rodrigo, Katzalin Olcoz Herrero, José Manuel Moya Fernandez
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