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Books on the topic 'Cloud Computing Performance'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Pearson, Siani. Privacy and Security for Cloud Computing. London: Springer London, 2013.

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2

Milutinović, Veljko, Marijana Despotović-Zrakić, and Aleksandar Belić. Handbook of research on high performance and cloud computing in scientific research and education. Hershey, PA: Information Science Reference, 2014.

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3

Udoh, Emmanuel. Cloud, grid and high performance computing: Emerging applications. Hershey PA: Information Science Reference, 2011.

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4

Lynn, Theo. Heterogeneity, High Performance Computing, Self-Organization and the Cloud. Basingstoke: Springer Nature, 2018.

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5

Lynn, Theo, John P. Morrison, and David Kenny, eds. Heterogeneity, High Performance Computing, Self-Organization and the Cloud. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76038-4.

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6

Udoh, Emmanuel. Applications and developments in grid, cloud, and high performance computing. Hershey, PA: Information Science Reference, 2013.

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7

K, Kokula Krishna Hari, ed. Cloud Technology and Performance Improvement with Intserv Over Diffserv for Cloud Computing: ICCCEG 2014. Vietnam: Association of Scientists, Developers and Faculties, 2014.

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8

Evolving developments in grid and cloud computing: Advancing research. Hershey, PA: Information Science Reference, 2012.

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9

Gentzsch, Wolfgang. High speed and large scale scientific computing. Amsterdam: IOS Press, 2009.

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10

Gentzsch, Wolfgang. High speed and large scale scientific computing. Amsterdam: IOS Press, 2009.

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11

Khadeer, Hussain Farookh, Morvan Franck, Tjoa A. Min, and SpringerLink (Online service), eds. Data Management in Cloud, Grid and P2P Systems: 5th International Conference, Globe 2012, Vienna, Austria, September 5-6, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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12

Neumann, Dirk. Economic models and algorithms for distributed systems. Basel: Birkhäuser, 2010.

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13

International Workshop on Grid Economics and Business Models (7th 2010 Ischia, Italy). Economics of grids, clouds, systems, and services: 7th international workshop, GECON 2010, Ischia, Italy, August 31, 2010 : proceedings. Berlin: Springer, 2010.

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14

Pearson, Siani, and George Yee. Privacy and Security for Cloud Computing. Springer, 2014.

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15

Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing. River Publishers, 2016.

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16

Kenny, David, Theo Lynn, and John P. Morrison. Heterogeneity, High Performance Computing, Self-Organization and the Cloud. Palgrave Macmillan, 2018.

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17

Heterogeneity, High Performance Computing, Self-Organization and the Cloud. Palgrave Macmillan, 2018.

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18

Sidhu, Amandeep S., Rong Kun Jason Tan, and John A. Leong. Optimized Cloud Based Scheduling. Springer, 2018.

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19

Sidhu, Amandeep S., Rong Kun Jason Tan, and John A. Leong. Optimized Cloud Based Scheduling. Springer, 2019.

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20

Puppet 27 Cookbook Build Reliable Scalable Secure Highperformance Systems To Fully Utilize The Power Of Cloud Computing. Packt Publishing, 2011.

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21

Systems Performance: Enterprise and the Cloud. Prenctice-Hall, 2013.

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22

Systems Performance: Enterprise and the Cloud. Pearson, 2020.

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23

Data Management in Cloud, Grid and P2P Systems: 7th International Conference, Globe 2014, Munich, Germany, September 2-3, 2014. Proceedings. Springer, 2014.

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24

Wang, Ge. Improvisation of the Masses. Edited by Benjamin Piekut and George E. Lewis. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199892921.013.15.

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Abstract:

The mass-scale adoption of modern mobile computing technology presents immense potential to reshape the way we engage one another socially, creatively, and musically. This article explores ad hoc music-making and improvisatory performance on a massive scale, leveraging personal interactive mobile instruments (e.g., via iPhones and iPads), location-awareness (via GPS), and the connective social potential of cloud computing. I investigate a new social/musical improvisatory context that doesn’t exist in any single location but as a network and community of anonymous but connected participants around the world. As case studies, I will draw from experiences with the Stanford Mobile Phone Orchestra, as well as the community of Smule social/proto-musical experiences on mobile devices, including Ocarina, I Am T-Pain, and MadPad. I reflect on these experiences in the context of a new type of “anytime, anywhere” music made with mobile devices.

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25

Foster, I., W. Gentzsch, L. Grandinetti, and G. R. Joubert. High Performance Computing : From Grids and Clouds to Exascale: Volume 20 Advances in Parallel Computing. IOS Press, 2011.

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