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Ultra-Low Power Localization System Using Mobile Cloud Computing Read chapter Read first chapter

2019 | OriginalPaper | Chapter

The Case for Physical Memory Pools: A Vision Paper

Authors : Heather Craddock, Lakshmi Prasanna Konudula, Kun Cheng, Gökhan Kul

Published in: Cloud Computing – CLOUD 2019

Publisher: Springer International Publishing

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Abstract

The cloud is a rapidly expanding and increasingly prominent component of modern computing. Monolithic servers limit the flexibility of cloud-based systems, however, due to static memory limitations. Developments in OS design, distributed memory systems, and address translation have been crucial in aiding the progress of the cloud. In this paper, we discuss recent developments in virtualization, OS design and distributed memory structures with regards to their current impact and relevance to future work on eliminating memory limits in cloud computing. We argue that creating physical memory pools is essential for cheaper and more efficient cloud computing infrastructures, and we identify research challenges to implement these structures.

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previous chapter Towards Automated Configuration of Cloud Storage Gateways: A Data Driven Approach
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Footnotes
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Metadata
Title
The Case for Physical Memory Pools: A Vision Paper
Authors
Heather Craddock
Lakshmi Prasanna Konudula
Kun Cheng
Gökhan Kul
Copyright Year
2019
Book
Cloud Computing – CLOUD 2019

Print ISBN: 978-3-030-23501-7

Electronic ISBN: 978-3-030-23502-4

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-23502-4_15

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