Adaptive Resource Management And Scheduling For Cloud Computing


Adaptive Resource Management And Scheduling For Cloud Computing
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Adaptive Resource Management And Scheduling For Cloud Computing


Adaptive Resource Management And Scheduling For Cloud Computing
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Author : Florin Pop
language : en
Publisher: Springer
Release Date : 2016-01-07

Adaptive Resource Management And Scheduling For Cloud Computing written by Florin Pop and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-07 with Computers categories.


This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Adaptive Resource Management and Scheduling for Cloud Computing, ARMS-CC 2015, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2015, in Donostia-San Sebastián, Spain, in July 2015. The 12 revised full papers, including 1 invited paper, were carefully reviewed and selected from 24 submissions. The papers have identified several important aspects of the problem addressed by ARMS-CC: self-* and autonomous cloud systems, cloud quality management and service level agreement (SLA), scalable computing, mobile cloud computing, cloud computing techniques for big data, high performance cloud computing, resource management in big data platforms, scheduling algorithms for big data processing, cloud composition, federation, bridging, and bursting, cloud resource virtualization and composition, load-balancing and co-allocation, fault tolerance, reliability, and availability of cloud systems.



Adaptive Resource Management And Scheduling For Cloud Computing


Adaptive Resource Management And Scheduling For Cloud Computing
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Author : Florin Pop
language : en
Publisher: Springer
Release Date : 2014-11-25

Adaptive Resource Management And Scheduling For Cloud Computing written by Florin Pop and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-25 with Computers categories.


This book constitutes the thoroughly refereed post-conference proceedings of the First International Workshop on Adaptive Resource Management and Scheduling for Cloud Computing, ARMS-CC 2014, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2014, in Paris, France, in July 2014. The 14 revised full papers (including 2 invited talks) were carefully reviewed and selected from 29 submissions and cover topics such as scheduling methods and algorithms, services and applications, fundamental models for resource management in the cloud.



Proceedings Of The 2017 Workshop On Adaptive Resource Management And Scheduling For Cloud Computing


Proceedings Of The 2017 Workshop On Adaptive Resource Management And Scheduling For Cloud Computing
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Author : Florin Pop
language : en
Publisher:
Release Date : 2017-07-25

Proceedings Of The 2017 Workshop On Adaptive Resource Management And Scheduling For Cloud Computing written by Florin Pop and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-25 with categories.


PODC '17: ACM Symposium on Principles of Distributed Computing Jul 25, 2017-Jul 27, 2017 Washington, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.



Proceedings Of The Third International Workshop On Adaptive Resource Management And Scheduling For Cloud Computing


Proceedings Of The Third International Workshop On Adaptive Resource Management And Scheduling For Cloud Computing
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Author : Florin Pop
language : en
Publisher:
Release Date : 2016-07-25

Proceedings Of The Third International Workshop On Adaptive Resource Management And Scheduling For Cloud Computing written by Florin Pop and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-25 with Computer science categories.


PODC '16: ACM Symposium on Principles of Distributed Computing Jul 25, 2016-Jul 28, 2016 Chicago, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.



Optimized Cloud Resource Management And Scheduling


Optimized Cloud Resource Management And Scheduling
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Author : Wenhong Dr. Tian
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-10-15

Optimized Cloud Resource Management And Scheduling written by Wenhong Dr. Tian and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-15 with Computers categories.


Optimized Cloud Resource Management and Scheduling identifies research directions and technologies that will facilitate efficient management and scheduling of computing resources in cloud data centers supporting scientific, industrial, business, and consumer applications. It serves as a valuable reference for systems architects, practitioners, developers, researchers and graduate level students. Explains how to optimally model and schedule computing resources in cloud computing Provides in depth quality analysis of different load-balance and energy-efficient scheduling algorithms for cloud data centers and Hadoop clusters Introduces real-world applications, including business, scientific and related case studies Discusses different cloud platforms with real test-bed and simulation tools



Cloud Broker And Cloudlet For Workflow Scheduling


Cloud Broker And Cloudlet For Workflow Scheduling
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Author : Chan-Hyun Youn
language : en
Publisher: Springer
Release Date : 2017-06-26

Cloud Broker And Cloudlet For Workflow Scheduling written by Chan-Hyun Youn and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-26 with Computers categories.


This book blends the principles of cloud computing theory and discussion of emerging technologies in cloud broker systems, enabling users to realise the potential of an integrated broker system for scientific applications and the Internet of Things (IoT). Due to dynamic situations in user demand and cloud resource status, scalability has become crucial in the execution of complex scientific applications. Therefore, data analysts and computer scientists must grasp workflow management issues in order to better understand the characteristics of cloud resources, allocate these resources more efficiently and make critical decisions intelligently. Thus, this book addresses these issues through discussion of some novel approaches and engineering issues in cloud broker systems and cloudlets for workflow scheduling. This book closes the gaps between cloud programmers and scientific applications designers, describing the fundamentals of cloud broker system technology and the state-of-the-art applications in implementation and performance evaluation. The books gives details of scheduling structures and processes, providing guidance and inspiration for users including cloud programmers, application designers and decision makers with involvement in cloud resource management.



Automated Workflow Scheduling In Self Adaptive Clouds


Automated Workflow Scheduling In Self Adaptive Clouds
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Author : G. Kousalya
language : en
Publisher: Springer
Release Date : 2017-05-25

Automated Workflow Scheduling In Self Adaptive Clouds written by G. Kousalya and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-25 with Computers categories.


This timely text/reference presents a comprehensive review of the workflow scheduling algorithms and approaches that are rapidly becoming essential for a range of software applications, due to their ability to efficiently leverage diverse and distributed cloud resources. Particular emphasis is placed on how workflow-based automation in software-defined cloud centers and hybrid IT systems can significantly enhance resource utilization and optimize energy efficiency. Topics and features: describes dynamic workflow and task scheduling techniques that work across multiple (on-premise and off-premise) clouds; presents simulation-based case studies, and details of real-time test bed-based implementations; offers analyses and comparisons of a broad selection of static and dynamic workflow algorithms; examines the considerations for the main parameters in projects limited by budget and time constraints; covers workflow management systems, workflow modeling and simulation techniques, and machine learning approaches for predictive workflow analytics. This must-read work provides invaluable practical insights from three subject matter experts in the cloud paradigm, which will empower IT practitioners and industry professionals in their daily assignments. Researchers and students interested in next-generation software-defined cloud environments will also greatly benefit from the material in the book.



Autonomic Computing In Cloud Resource Management In Industry 4 0


Autonomic Computing In Cloud Resource Management In Industry 4 0
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Author : Tanupriya Choudhury
language : en
Publisher: Springer Nature
Release Date : 2021-09-05

Autonomic Computing In Cloud Resource Management In Industry 4 0 written by Tanupriya Choudhury and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-05 with Technology & Engineering categories.


This book describes the next generation of industry—Industry 4.0—and how it holds the promise of increased flexibility in manufacturing, along with automation, better quality, and improved productivity. The authors discuss how it thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead-time to market and higher quality. The authors posit that intelligent cloud services and resource sharing play an important role in Industry 4.0 anticipated Fourth Industrial Revolution. This book serves the different issues and challenges in cloud resource management CRM techniques with proper propped solution for IT organizations. The book features chapters based on the characteristics of autonomic computing with its applicability in CRM. Each chapter features the techniques and analysis of each mechanism to make better resource management in cloud.



An Adaptive Resource Management Architecture For Global Distributed Computing


An Adaptive Resource Management Architecture For Global Distributed Computing
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Author : Nalini Venkatasubramanian
language : en
Publisher:
Release Date : 1998

An Adaptive Resource Management Architecture For Global Distributed Computing written by Nalini Venkatasubramanian and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.




Resource Management For Big Data Platforms


Resource Management For Big Data Platforms
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Author : Florin Pop
language : en
Publisher: Springer
Release Date : 2016-10-27

Resource Management For Big Data Platforms written by Florin Pop and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-27 with Computers categories.


Serving as a flagship driver towards advance research in the area of Big Data platforms and applications, this book provides a platform for the dissemination of advanced topics of theory, research efforts and analysis, and implementation oriented on methods, techniques and performance evaluation. In 23 chapters, several important formulations of the architecture design, optimization techniques, advanced analytics methods, biological, medical and social media applications are presented. These chapters discuss the research of members from the ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet). This volume is ideal as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary works in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers to grasp the key concerns and their potential solutions.