Optimized Cloud Based Scheduling
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Optimized Cloud Based Scheduling
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Author : Rong Kun Jason Tan
language : en
Publisher: Springer
Release Date : 2018-02-24
Optimized Cloud Based Scheduling written by Rong Kun Jason Tan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-24 with Technology & Engineering categories.
This book presents an improved design for service provisioning and allocation models that are validated through running genome sequence assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and showcases new algorithms for hybrid cloud scheduling. Scientific sectors such as bioinformatics, astronomy, high-energy physics, and Earth science are generating a tremendous flow of data, commonly known as big data. In the context of growing demand for big data analytics, cloud computing offers an ideal platform for processing big data tasks due to its flexible scalability and adaptability. However, there are numerous problems associated with the current service provisioning and allocation models, such as inefficient scheduling algorithms, overloaded memory overheads, excessive node delays and improper error handling of tasks, all of which need to be addressed to enhance the performance of big data analytics.
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 Computing For Optimization Foundations Applications And Challenges
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Author : Bhabani Shankar Prasad Mishra
language : en
Publisher: Springer
Release Date : 2018-02-26
Cloud Computing For Optimization Foundations Applications And Challenges written by Bhabani Shankar Prasad Mishra and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-26 with Technology & Engineering categories.
This book discusses harnessing the real power of cloud computing in optimization problems, presenting state-of-the-art computing paradigms, advances in applications, and challenges concerning both the theories and applications of cloud computing in optimization with a focus on diverse fields like the Internet of Things, fog-assisted cloud computing, and big data. In real life, many problems – ranging from social science to engineering sciences – can be identified as complex optimization problems. Very often these are intractable, and as a result researchers from industry as well as the academic community are concentrating their efforts on developing methods of addressing them. Further, the cloud computing paradigm plays a vital role in many areas of interest, like resource allocation, scheduling, energy management, virtualization, and security, and these areas are intertwined with many optimization problems. Using illustrations and figures, this book offers students and researchers a clear overview of the concepts and practices of cloud computing and its use in numerous complex optimization problems.
Intelligent Resource Scheduling With Neutrosophic Knowledge And Optimized Cache Management Using Cuckoo Search Method In Cloud Computing
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Author : Kiruthiga Gurumurthy
language : en
Publisher: Infinite Study
Release Date :
Intelligent Resource Scheduling With Neutrosophic Knowledge And Optimized Cache Management Using Cuckoo Search Method In Cloud Computing written by Kiruthiga Gurumurthy and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
The cloud environment comprised of distributed resources in a dynamic fashion, so this necessitates the need for developing optimal scheduling in cloud environment with the satisfaction of Quality of Service necessitated by the cloud consumer with the maximum profit to cloud providers. But the presence of impreciseness while scheduling cloud resources is the challenging issue of traditional scheduling policies.
Reliable And Intelligent Optimization In Multi Layered Cloud Computing Architectures
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Author : Madhusudhan H. S.
language : en
Publisher: CRC Press
Release Date : 2024-05-02
Reliable And Intelligent Optimization In Multi Layered Cloud Computing Architectures written by Madhusudhan H. S. and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-02 with Computers categories.
One of the major developments in the computing field has been cloud computing, which enables users to do complicated computations that local devices are unable to handle. The computing power and flexibility that have made the cloud so popular do not come without challenges. It is particularly challenging to decide which resources to use, even when they have the same configuration but different levels of performance because of the variable structure of the available resources. Cloud data centers can host millions of virtual machines, and where to locate these machines in the cloud is a difficult problem. Additionally, fulfilling optimization needs is a complex problem. Reliable and Intelligent Optimization in Multi-Layered Cloud Computing Architectures examines ways to meet these challenges. It discusses virtual machine placement techniques and task scheduling techniques that optimize resource utilization and minimize energy consumption of cloud data centers. Placement techniques presented can provide an optimal solution to the optimization problem using multiple objectives. The book focuses on basic design principles and analysis of virtual machine placement techniques and task allocation techniques. It also looks at virtual machine placement techniques that can improve quality-of-service (QoS) in service-oriented architecture (SOA) computing. The aims of virtual machine placement include minimizing energy usage, network traffic, economical cost, maximizing performance, and maximizing resource utilization. Other highlights of the book include: Improving QoS and resource efficiency Fault-tolerant and reliable resource optimization models A reactive fault tolerance method using checkpointing restart Cost and network-aware metaheuristics. Virtual machine scheduling and placement Electricity consumption in cloud data centers Written by leading experts and researchers, this book provides insights and techniques to those dedicated to improving cloud computing and its services.
Advanced Computing Techniques For Optimization In Cloud
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Author : H S Madhusudhan
language : en
Publisher: CRC Press
Release Date : 2024-09-11
Advanced Computing Techniques For Optimization In Cloud written by H S Madhusudhan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-11 with Computers categories.
This book focuses on the current trends in research and analysis of virtual machine placement in a cloud data center. It discusses the integration of machine learning models and metaheuristic approaches for placement techniques. Taking into consideration the challenges of energy-efficient resource management in cloud data centers, it emphasizes upon computing resources being suitably utilised to serve application workloads in order to reduce energy utilisation, while maintaining apt performance. This book provides information on fault-tolerant mechanisms in the cloud and provides an outlook on task scheduling techniques. Focuses on virtual machine placement and migration techniques for cloud data centers Presents the role of machine learning and metaheuristic approaches for optimisation in cloud computing services Includes application of placement techniques for quality of service, performance, and reliability improvement Explores data center resource management, load balancing and orchestration using machine learning techniques Analyses dynamic and scalable resource scheduling with a focus on resource management The text is for postgraduate students, professionals, and academic researchers working in the fields of computer science and information technology.
Privacy Preservation And Secured Data Storage In Cloud Computing
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Author : D., Lakshmi
language : en
Publisher: IGI Global
Release Date : 2023-10-25
Privacy Preservation And Secured Data Storage In Cloud Computing written by D., Lakshmi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-25 with Computers categories.
As cloud services become increasingly popular, safeguarding sensitive data has become paramount. Privacy Preservation and Secured Data Storage in Cloud Computing is a comprehensive book that addresses the critical concerns surrounding privacy and security in the realm of cloud computing. Beginning with an introduction to cloud computing and its underlying technologies, the book explores various models of cloud service delivery. It then delves into the challenges and risks associated with storing and processing data in the cloud, including data breaches, insider threats, and third-party access. The book thoroughly examines techniques and tools to enhance privacy and security in the cloud, covering encryption, access control, data anonymization, and other measures to mitigate risks. Additionally, it explores emerging trends and opportunities in cloud security, such as blockchain-based solutions, homomorphic encryption, and other cutting-edge technologies poised to transform data privacy and security. This invaluable resource offers practical advice and in-depth analysis for cloud service providers, IT professionals, researchers, and students seeking to understand best practices for securing data in the cloud.
Multi Objective Optimization Techniques
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Author : Tarik A. Rashid
language : en
Publisher: CRC Press
Release Date : 2025-03-31
Multi Objective Optimization Techniques written by Tarik A. Rashid and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-31 with Technology & Engineering categories.
The book establishes how to design, develop, and test different hybrids of multi-objective optimization algorithms. It presents several application areas of multi-objective optimization algorithms. Presents a thorough analysis of equations, mathematical models, and mechanisms of multi-objective optimization algorithms. Explores different alternatives of multi-objective optimization algorithms to solve binary, multi-objective, noisy, dynamic, and combinatorial optimization problems. Illustrates how to design, develop, and test different hybrids of multi-objective optimization algorithms. Discusses multi-objective optimization techniques for cloud, fog, and edge computing. Highlights applications of multi-objective optimization in diverse sectors such as engineering, e-healthcare, and scheduling. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, communications engineering, computer science and engineering, and mathematics.
Artificial Intelligence And Evolutionary Computations In Engineering Systems
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Author : Subhransu Sekhar Dash
language : en
Publisher: Springer
Release Date : 2016-02-05
Artificial Intelligence And Evolutionary Computations In Engineering Systems written by Subhransu Sekhar Dash and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-05 with Technology & Engineering categories.
The book is a collection of high-quality peer-reviewed research papers presented in the first International Conference on International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems (ICAIECES -2015) held at Velammal Engineering College (VEC), Chennai, India during 22 – 23 April 2015. The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. Researchers from academic and industry present their original work and exchange ideas, information, techniques and applications in the field of Communication, Computing and Power Technologies.
The Ultimate Guide To Unlocking The Full Potential Of Cloud Services
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Author : Rick Spair
language : en
Publisher: Rick Spair
Release Date : 2023-06-04
The Ultimate Guide To Unlocking The Full Potential Of Cloud Services written by Rick Spair and has been published by Rick Spair this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-04 with Computers categories.
By following this comprehensive guide, readers will embark on a journey to gain a deep understanding of cloud computing concepts, enabling them to navigate the complex landscape of cloud services with confidence. The guide covers a wide range of topics, providing valuable insights and practical strategies to optimize the use of cloud offerings. The first chapter introduces readers to the fundamental concepts of cloud computing, explaining the underlying principles and models such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It lays the foundation for the subsequent chapters, ensuring a solid understanding of cloud computing basics. The guide then delves into the process of selecting the right cloud service provider. Chapter 2 offers guidance on evaluating factors such as pricing models, performance, reliability, security, and data privacy. Readers will learn how to assess and compare different providers to make informed decisions that align with their specific business needs. The subsequent chapters provide in-depth insights into various aspects of cloud services. From storage solutions to infrastructure management, security measures, and cost optimization strategies, readers will explore best practices, tips, and recommendations for maximizing the benefits of each cloud offering. Chapters dedicated to cloud storage solutions discuss different options available and guide readers on how to leverage cloud storage for data backup, disaster recovery, and efficient data management. The chapters on Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) provide readers with strategies for leveraging these services to scale and flexibly deploy computing resources, design and deploy virtual infrastructure, and optimize performance. The guide also delves into Software as a Service (SaaS), highlighting its benefits for software delivery and exploring popular SaaS applications across various industries. Readers will gain insights into customizing and integrating SaaS solutions to meet specific business needs and learn how to integrate SaaS with other cloud services for enhanced functionality. Security, governance, and compliance in the cloud are essential considerations, and the guide dedicates chapters to these topics. Readers will learn about implementing robust access controls, encryption, and monitoring techniques to ensure data security. They will also discover best practices for establishing cloud governance frameworks, ensuring compliance with industry regulations, and managing resources effectively. Optimizing cost and resource usage is a crucial aspect of cloud services, and the guide covers various strategies for cost optimization, analyzing cloud costs, and identifying cost drivers. It provides insights into leveraging reserved instances, spot instances, and rightsizing to optimize costs and maximize return on investment. The guide also explores cloud migration planning and execution, hybrid cloud integration, serverless computing, big data analytics, DevOps, and other advanced cloud technologies. Each chapter presents a comprehensive overview of the topic, offering practical advice and real-world examples to help readers understand and leverage these technologies effectively. By the end of the guide, readers will have a comprehensive understanding of cloud computing and its various offerings. They will be equipped with the knowledge and strategies to choose the right cloud service provider, optimize resource utilization, enhance security measures, and leverage advanced cloud technologies to drive innovation and business growth. Overall, this guide serves as a valuable resource for individuals and organizations seeking to harness the full potential of cloud services.