Intelligent Resource Scheduling with Neutrosophic Knowledge and Optimized Cache Management Using Cuckoo Search Method in Cloud Computing

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Author :
Publisher : Infinite Study
ISBN 13 :
Total Pages : 12 pages
Book Rating : 4./5 ( download)

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Book Synopsis Intelligent Resource Scheduling with Neutrosophic Knowledge and Optimized Cache Management Using Cuckoo Search Method in Cloud Computing by : Kiruthiga Gurumurthy

Download or read book Intelligent Resource Scheduling with Neutrosophic Knowledge and Optimized Cache Management Using Cuckoo Search Method in Cloud Computing written by Kiruthiga Gurumurthy and published by Infinite Study. This book was released on with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Intelligence for Clinical Diagnosis

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Publisher : Springer Nature
ISBN 13 : 3031236831
Total Pages : 584 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Computational Intelligence for Clinical Diagnosis by : Ferdin Joe John Joseph

Download or read book Computational Intelligence for Clinical Diagnosis written by Ferdin Joe John Joseph and published by Springer Nature. This book was released on 2023-06-05 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains multidisciplinary advancements in healthcare and technology through artificial intelligence (AI). The topics are crafted in such a way to cover all the areas of healthcare that require AI for further development. Some of the topics that contain algorithms and techniques are explained with the help of source code developed by the chapter contributors. The book covers the advancements in AI and healthcare from the Covid 19 pandemic and also analyzes the readiness and need for advancements in managing yet another pandemic in the future. Most of the technologies addressed in this book are added with a concept of encapsulation to obtain a cookbook for anyone who needs to reskill or upskill themselves in order to contribute to an advancement in the field. This book benefits students, professionals, and anyone from any background to learn about digital disruptions in healthcare.

Optimized Cloud Based Scheduling

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Publisher : Springer
ISBN 13 : 3319732145
Total Pages : 106 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Optimized Cloud Based Scheduling by : Rong Kun Jason Tan

Download or read book Optimized Cloud Based Scheduling written by Rong Kun Jason Tan and published by Springer. This book was released on 2018-02-24 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Resource Management in Utility and Cloud Computing

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Publisher : Springer Science & Business Media
ISBN 13 : 1461489709
Total Pages : 94 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Resource Management in Utility and Cloud Computing by : Han Zhao

Download or read book Resource Management in Utility and Cloud Computing written by Han Zhao and published by Springer Science & Business Media. This book was released on 2013-10-17 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: This SpringerBrief reviews the existing market-oriented strategies for economically managing resource allocation in distributed systems. It describes three new schemes that address cost-efficiency, user incentives, and allocation fairness with regard to different scheduling contexts. The first scheme, taking the Amazon EC2TM market as a case of study, investigates the optimal resource rental planning models based on linear integer programming and stochastic optimization techniques. This model is useful to explore the interaction between the cloud infrastructure provider and the cloud resource customers. The second scheme targets a free-trade resource market, studying the interactions amongst multiple rational resource traders. Leveraging an optimization framework from AI, this scheme examines the spontaneous exchange of resources among multiple resource owners. Finally, the third scheme describes an experimental market-oriented resource sharing platform inspired by eBay's transaction model. The study presented in this book sheds light on economic models and their implication to the utility-oriented scheduling problems.

Adaptive Resource Management and Scheduling for Cloud Computing

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Publisher : Springer
ISBN 13 : 3319284487
Total Pages : 197 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Adaptive Resource Management and Scheduling for Cloud Computing by : Florin Pop

Download or read book Adaptive Resource Management and Scheduling for Cloud Computing written by Florin Pop and published by Springer. This book was released on 2016-01-07 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : Springer
ISBN 13 : 3319134647
Total Pages : 223 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Adaptive Resource Management and Scheduling for Cloud Computing by : Florin Pop

Download or read book Adaptive Resource Management and Scheduling for Cloud Computing written by Florin Pop and published by Springer. This book was released on 2014-11-25 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Resource Management in Distributed Systems

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Publisher : Springer Nature
ISBN 13 : 9819726441
Total Pages : 319 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Resource Management in Distributed Systems by : Anwesha Mukherjee

Download or read book Resource Management in Distributed Systems written by Anwesha Mukherjee and published by Springer Nature. This book was released on with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Certain Investigation on Improved PSO Algorithm for Workflow Scheduling in Cloud Computing Environments

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Publisher : Anchor Academic Publishing
ISBN 13 : 396067192X
Total Pages : 45 pages
Book Rating : 4.9/5 (66 download)

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Book Synopsis Certain Investigation on Improved PSO Algorithm for Workflow Scheduling in Cloud Computing Environments by : Sadhasivam Narayanan

Download or read book Certain Investigation on Improved PSO Algorithm for Workflow Scheduling in Cloud Computing Environments written by Sadhasivam Narayanan and published by Anchor Academic Publishing. This book was released on 2017-11-01 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cloud computing is a new prototype for enterprises which can effectively assist the execution of tasks. Task scheduling is a major constraint which greatly influences the performance of cloud computing environments. The cloud service providers and consumers have different objectives and requirements. For the moment, the load and availability of the resources vary dynamically with time. Therefore, in the cloud environment scheduling resources is a complicated problem. Moreover, task scheduling algorithm is a method by which tasks are allocated or matched to data center resources. All task scheduling problems in a cloud computing environment come under the class of combinatorial optimization problems which decide searching for an optimal solution in a finite set of potential solutions. For a combinatorial optimization problem in bounded time, exact algorithms always guarantee to find an optimal solution for every finite size instance. These kinds of problems are NP-Hard in nature. Moreover, for the large scale applications, an exact algorithm needs unexpected computation time which leads to an increase in computational burden. However, the absolutely perfect scheduling algorithm does not exist, because of conflicting scheduling objectives. Therefore, to overcome this constraint heuristic algorithms are proposed. In workflow scheduling problems, search space grows exponentially with the problem size. Heuristics optimization as a search method is useful in local search to find good solutions quickly in a restricted area. However, the heuristics optimization methods do not provide a suitable solution for the scheduling problem. Researchers have shown good performance of metaheuristic algorithms in a wide range of complex problems. In order to minimize the defined objective of task resource mapping, improved versions of Particle Swarm Optimization (PSO) are put in place to enhance scheduling performance with less computational burden. In recent years, PSO has been successfully applied to solve different kinds of problems. It is famous for its easy realization and fast convergence, while suffering from the possibility of early convergence to local optimums. In the proposed Improved Particle Swarm Optimization (IPSO) algorithm, whenever early convergence occurs, the original particle swarm would be considered the worst positions an individual particle and worst positions global particle the whole swarm have experienced.

Research on Resources Scheduling Method Base on Swarm Intelligence Optimal Algorithm in Cloud Computing Environment

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Publisher :
ISBN 13 : 9780999244302
Total Pages : pages
Book Rating : 4.2/5 (443 download)

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Book Synopsis Research on Resources Scheduling Method Base on Swarm Intelligence Optimal Algorithm in Cloud Computing Environment by : Hongwei Zhao

Download or read book Research on Resources Scheduling Method Base on Swarm Intelligence Optimal Algorithm in Cloud Computing Environment written by Hongwei Zhao and published by . This book was released on 2017-06-14 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Robust Resource Management for Time-critical Tasks in the Cloud-edge Continuum

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.8/5 (937 download)

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Book Synopsis Robust Resource Management for Time-critical Tasks in the Cloud-edge Continuum by : Hongyun Liu

Download or read book Robust Resource Management for Time-critical Tasks in the Cloud-edge Continuum written by Hongyun Liu and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "As an emerging distributed computing paradigm, the Cloud-edge continuum (CEC) leverages the strengths of both cloud computing and edge computing to provide efficient and effective services to end-users. CEC enables faster processing of data and provides multiple benefits, including scalability, data security, and improved quality of service. With the increasing demand for real-time data processing, the proliferation of the Internet of Things (IoT) devices, and the growing need for data privacy and security, CEC has been developing, evolving, and adapting quickly. Cloud computing provides scalable and flexible computing infrastructure, while edge computing offers low latency and location-awareness capabilities.How to schedule the tasks in a CEC among its exploding amount of resources is a challenge for both service providers and users. QoS (quality of service) or QoE (Quality of experience) are metrics that describe this process and are often adopted as the optimization objective. Among all kinds of resource management optimization approaches, learning-based task scheduling and offloading have gained popularity in recent years. To overcome these limitations, researchers have turned to machine learning techniques to develop more intelligent and adaptive resource management algorithms. However, the machine learning-based methods in CEC also face several challenges:1. The performance of learning-based resource management is difficult to maintain when the pattern of time-critical tasks is dynamically changing;2. Learning-based resource management strategies are difficult to adapt when continuum resources are highly heterogeneous;3. Learning-based resource management suffers from low robustness when optimizing multiple objectives.My thesis tackles these challenges, and we propose a Meta-Learning-based resource management framework to deal with time-critical requests spanning from independent tasks to complex workflows in a dynamic cloud-edge continuum. Our goal is to improve the robustness and adaptivity of the resource management framework in highly changing environments."--

Energy Optimization Algorithm for Virtual Machine Scheduling in Cloud Computing

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Publisher :
ISBN 13 : 9781835800126
Total Pages : 0 pages
Book Rating : 4.8/5 (1 download)

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Book Synopsis Energy Optimization Algorithm for Virtual Machine Scheduling in Cloud Computing by : Ram Narayan Shukla

Download or read book Energy Optimization Algorithm for Virtual Machine Scheduling in Cloud Computing written by Ram Narayan Shukla and published by . This book was released on 2023-10-26 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Resource Management in Distributed Systems

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Publisher : Springer
ISBN 13 : 9789819726431
Total Pages : 0 pages
Book Rating : 4.7/5 (264 download)

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Book Synopsis Resource Management in Distributed Systems by : Anwesha Mukherjee

Download or read book Resource Management in Distributed Systems written by Anwesha Mukherjee and published by Springer. This book was released on 2024-07-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on resource management in distributed computing systems. The book presents a collection of original, unpublished, and high-quality research works, which report the latest research advances on resource discovery, allocation, scheduling, etc., in cloud, fog, and edge computing. The topics covered in the book are resource management in cloud computing/edge computing/fog computing/dew computing, resource management in Internet of things, resource allocation, scheduling, monitoring, and orchestration in distributed computing systems, resource management in 5G network and beyond, latency-aware resource management, energy-efficient resource management, interoperability and portability, security and privacy in resource management, reliable resource management, trustworthiness in resource management, fault tolerance in resource management, and simulation related to resource management.

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making

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Publisher : Springer
ISBN 13 : 3030237567
Total Pages : 1392 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making by : Cengiz Kahraman

Download or read book Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making written by Cengiz Kahraman and published by Springer. This book was released on 2019-07-05 with total page 1392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.

Intelligent Computing and Innovation on Data Science

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Publisher : Springer Nature
ISBN 13 : 9811532842
Total Pages : 796 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Intelligent Computing and Innovation on Data Science by : Sheng-Lung Peng

Download or read book Intelligent Computing and Innovation on Data Science written by Sheng-Lung Peng and published by Springer Nature. This book was released on 2020-05-14 with total page 796 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers both basic and high-level concepts relating to the intelligent computing paradigm and data sciences in the context of distributed computing, big data, data sciences, high-performance computing and Internet of Things. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure and privacy-aware systems in high-performance computing and IoT applications. In this context, the book serves as a useful guide for industry practitioners, and also offers beginners a comprehensive introduction to basic and advanced areas of intelligent computing. Further, it provides a platform for researchers, engineers, academics and industrial professionals around the globe to showcase their recent research concerning recent trends. Presenting novel ideas and stimulating interesting discussions, the book appeals to researchers and practitioners working in the field of information technology and computer science.

Frontiers in Intelligent Computing: Theory and Applications

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Publisher : Springer Nature
ISBN 13 : 9813291869
Total Pages : 357 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Frontiers in Intelligent Computing: Theory and Applications by : Suresh Chandra Satapathy

Download or read book Frontiers in Intelligent Computing: Theory and Applications written by Suresh Chandra Satapathy and published by Springer Nature. This book was released on 2019-10-03 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 7th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2018), held at Duy Tan University, Da Nang, Vietnam. The event brought together researchers, scientists, engineers, and practitioners to exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines. These proceedings are divided into two volumes. Covering broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures, this volume is a valuable resource for postgraduate students in various engineering disciplines.

Advances in Smart Communication Technology and Information Processing

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Publisher : Springer Nature
ISBN 13 : 9811594333
Total Pages : 484 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Advances in Smart Communication Technology and Information Processing by : Soumen Banerjee

Download or read book Advances in Smart Communication Technology and Information Processing written by Soumen Banerjee and published by Springer Nature. This book was released on 2021-02-15 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of best selected research papers presented at the 6th International Conference on Opto-Electronics and Applied Optics (OPTRONIX 2020) organized by the University of Engineering & Management, Kolkata, India, in June 2020. The primary focus is to address issues and developments in optoelectronics with particular emphasis on communication technology, IoT and intelligent systems, information processing and its different kinds. The theme of the book is in alignment with the theme of the conference “Advances in Smart Communication Technology and Information Processing.” The purpose of this book is to inform the scientists and researchers of this field in India and abroad about the latest developments in the relevant field and to raise awareness among the academic fraternity to get them involved in different activities in the years ahead – an effort to realize knowledge-based society.

Neutrosophy

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Publisher :
ISBN 13 :
Total Pages : 110 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Neutrosophy by : Florentin Smarandache

Download or read book Neutrosophy written by Florentin Smarandache and published by . This book was released on 1998 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: