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Titlebook: Automated Workflow Scheduling in Self-Adaptive Clouds; Concepts, Algorithms G. Kousalya,P. Balakrishnan,C. Pethuru Raj Book 2017 Springer I

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發(fā)表于 2025-3-21 18:54:37 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Automated Workflow Scheduling in Self-Adaptive Clouds
期刊簡稱Concepts, Algorithms
影響因子2023G. Kousalya,P. Balakrishnan,C. Pethuru Raj
視頻videohttp://file.papertrans.cn/167/166386/166386.mp4
發(fā)行地址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
學(xué)科分類Computer Communications and Networks
圖書封面Titlebook: Automated Workflow Scheduling in Self-Adaptive Clouds; Concepts, Algorithms G. Kousalya,P. Balakrishnan,C. Pethuru Raj Book 2017 Springer I
影響因子.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 pra
Pindex Book 2017
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Workflow Scheduling Algorithms and Approaches,ted infrastructure life-cycle management. Similarly there are pathbreaking work-around approaches, algorithms, and architectures for workload consolidation. In short, there are many cloud-related aspects yearning for technologically sound automation, acceleration, and augmentation capabilities..Effi
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Jennifer Elsden-Clifton,Kathy Jordan, LED lights, etc. speeds up the production of digitized objects, alternatively termed as smart or sentient materials. Every common, casual, and cheap item can be transitioned into digitized entities and elements in order to join in the mainstream computing. Next in line is that the explosion of ins
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Introduction: The Struggle for Leisure,defines a complete data center. This software layer presents the resources of the data center as pools of virtual and physical resources to host and deliver software applications. A modern SDCE is nimble and supple as per the vagaries of business movements. SECE is, therefore, a collection of virtua
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Workload Consolidation Through Automated Workload Scheduling,sed on their server utilization. The primary objective is to optimally allocate the number of servers for executing the workflows which in turn minimize the cost and energy of data centers. This chapter consolidates the cost- and energy-aware workload consolidation approaches along with the tools and methodologies used in modern cloud data centers.
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