Download or read book Resource Allocation Based on Predictive Load Balancing Approach in Multi Cloud Environment written by S. Sindhura and published by . This book was released on 2020 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cloud computing gives a support to purchasers to lessen their internal establishment, and for providers to extend wages, using their own specific system. The best possible burden adjusting and dynamic asset provisioning improves cloud execution and draws in the cloud clients. In this paper, we propose a mechanized asset provisioning calculation, Speculation asset provisioning, inciting load adjusting through theoretical methodology in asset provisioning. As an endeavor to measure asset portion we utilize two level versatile expectation component to check the computational examples of past asset distribution to the future necessity. The structure ensures reasonable assets required for the application, by avoiding over or under-provisioning of asset and supports vitality effectiveness in asset distribution. We use estimation system to address the fluctuation in the verifiable information to adjust the theory overhead. We have passed on our proposed work in an open source cloud structure and differentiated our results and other AI draws near. Our Experimental outcomes show versatile asset designation over client driven help the executives under the quickly changing necessities of cloud computing.
Download or read book Cloud Balancer Reliable Dynamic Resource Allocation written by V. Gami and published by . This book was released on 2023-11-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book "Cloud Balancer: Reliable Dynamic Resource Allocation" is a comprehensive guide to the design and implementation of load balancing and fault tolerance mechanisms in cloud data centers. The author, Gami V, is a seasoned cloud computing professional with over a decade of experience in designing and managing large-scale cloud infrastructures. In this book, author provides a detailed overview of the various load balancing techniques used in cloud environments and explains the pros and cons of each approach, also covers the key factors to consider when implementing fault tolerance mechanisms to ensure high availability and reliability of cloud services. The book starts with an introduction to cloud computing and the challenges involved in designing scalable and reliable cloud infrastructures. It then discusses the basics of load balancing, including various algorithms and approaches used to distribute workloads across multiple servers. The book also covers fault tolerance mechanisms such as replication, redundancy, and failover, which are critical for ensuring uninterrupted availability of cloud services. Author provides practical guidance on how to design and implement fault tolerance mechanisms in cloud data centers. Overall, "Cloud Balancer: Reliable Dynamic Resource Allocation" is an essential resource for cloud computing professionals, system architects, and anyone involved in designing and managing cloud infrastructures. It provides a thorough understanding of load balancing and fault tolerance mechanisms and offers practical tips and best practices for ensuring reliable and scalable cloud services.
Download or read book Operationalizing Multi Cloud Environments written by Rajganesh Nagarajan and published by Springer Nature. This book was released on 2021-09-17 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses various aspects of the multi-cloud paradigm. The initial portion of the book focuses on the motivations for the industry to embrace a multi-cloud option and the distinct business, technology, and user cases of multi-cloud implementations. The middle part of the book explains the challenges of setting up and sustaining multi-cloud environments. The latter portion focuses on the next-generation technologies and tools along with multi-cloud platforms, processes, patterns, and practices. The final segment of the book is dedicated for cloud brokerage systems. The various traits and tenets of cloud brokerage services especially for accomplishing cloud intermediation, integration, orchestration, governance, security, management, configuration, etc. are explained in detail. The book also clearly articulates how to have intelligent brokers.
Download or read book A Predictive Workload Balancing Algorithm in Cloud Services written by Mahdee Jodayree and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's business world, many companies and government agencies depend on the infrastructures of cloud services to host and process their information. Load processing of many cloud services is distributed in a static manner which can overload the largest available systems. This paper is an exploratory study on the predictive approach for dynamic resource distribution of cloud services. Today, many cloud service providers are exploring the benefit of dynamic workload-balancing for their resource management. Rather than issuing fixed resources to each customer, a dynamic hosting alternative offers a way to allocate resources dynamically and more efficiently to save computational power. Efficient cloud resource management can be achieved by simulating cloud services based on the predictions of incoming workloads, which can be more efficient than static allocation methods (Wolke, Bichler, and Setzer, 2015). Previous researchers in this area have focused on dynamic load balancing algorithms that are based on a current workload demanded by a client. These approaches require high computational power and additional time to meet the demands of dynamic cloud services. This paper introduces a rule-based workload-balancing algorithm based on the predictions of an end-to-end system called Cicada. A simulation of cloud services can be achieved by a cloud service simulator called CloudSim and it will be used to achieve an algorithm with lower computational demand and a faster workload balancing. The final result will demonstrate the effectiveness of a predictive workload balancing approach that can achieve faster workload balancing with a lower computational power usage.
Download or read book Machine Learning for Cloud Management written by Jitendra Kumar and published by CRC Press. This book was released on 2021-11-25 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cloud computing offers subscription-based on-demand services, and it has emerged as the backbone of the computing industry. It has enabled us to share resources among multiple users through virtualization, which creates a virtual instance of a computer system running in an abstracted hardware layer. Unlike early distributed computing models, it offers virtually limitless computing resources through its large scale cloud data centers. It has gained wide popularity over the past few years, with an ever-increasing infrastructure, a number of users, and the amount of hosted data. The large and complex workloads hosted on these data centers introduce many challenges, including resource utilization, power consumption, scalability, and operational cost. Therefore, an effective resource management scheme is essential to achieve operational efficiency with improved elasticity. Machine learning enabled solutions are the best fit to address these issues as they can analyze and learn from the data. Moreover, it brings automation to the solutions, which is an essential factor in dealing with large distributed systems in the cloud paradigm. Machine Learning for Cloud Management explores cloud resource management through predictive modelling and virtual machine placement. The predictive approaches are developed using regression-based time series analysis and neural network models. The neural network-based models are primarily trained using evolutionary algorithms, and efficient virtual machine placement schemes are developed using multi-objective genetic algorithms. Key Features: The first book to set out a range of machine learning methods for efficient resource management in a large distributed network of clouds. Predictive analytics is an integral part of efficient cloud resource management, and this book gives a future research direction to researchers in this domain. It is written by leading international researchers. The book is ideal for researchers who are working in the domain of cloud computing.
Download or read book Algorithms for Energy Efficient Load Balancing in Cloud Environments written by Norman Peitek and published by GRIN Verlag. This book was released on 2014-12-30 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: Seminar paper from the year 2013 in the subject Computer Science - Commercial Information Technology, grade: 1.0, Otto-von-Guericke-University Magdeburg (Faculty of Computer Science), course: Recent Topics in Business Informatics, language: English, abstract: Energy efficiency has a rising importance throughout society. With the growth of large data centers, the energy consumption becomes centralized and nowadays takes a significant amount of the overall electricity consumption of a country. Load balancing algorithms are able to make an existing infrastructure more efficient without major drawbacks. This structured literature research presents the state of the art technology regarding the load balancing approach to make data centers more en-ergy efficient. The state of the art approaches are reviewed for techniques, im-provements and consideration of performance effects.
Download or read book The Cognitive Early Warning Predictive System Using the Smart Vaccine written by Rocky Termanini and published by CRC Press. This book was released on 2016-01-06 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the Cognitive Early Warning Predictive System (CEWPS ) as the new digital immune system. Similar to the human immune system, CEWPS relies on true or "inoculated" sickness experience to defend the body. The book also introduces The Smart Vaccine an intelligent agent that manages all the vaccination-as-a-service on the cloud before an attack happens. The book illustrates the current landscape of cyber warfare, highlights the vulnerabilities of critical infrastructure, and identifies the shortcomings of AVT. Next, it describes the concept, the architecture, and the enabling technologies required to build a digital immune system.
Download or read book Proceedings of the 2024 3rd International Conference on Information Economy Data Modelling and Cloud Computing ICIDC 2024 written by Evan Poh Hock Lau and published by Springer Nature. This book was released on 2024 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Download or read book Advances in Information Communication Technology and Computing written by Vishal Goar and published by Springer Nature. This book was released on with total page 803 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Trust Fault in Multi Layered Cloud Computing Architecture written by Punit Gupta and published by Springer Nature. This book was released on 2020-01-20 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses various aspects of cloud computing, in which trust and fault-tolerance models are included in a multilayered, cloud architecture. The authors present a variety of trust and fault models used in the cloud, comparing them based on their functionality and the layer in the cloud to which they respond. Various methods are discussed that can improve the performance of cloud architectures, in terms of trust and fault-tolerance, while providing better performance and quality of service to user. The discussion also includes new algorithms that overcome drawbacks of existing methods, using a performance matrix for each functionality. This book provide readers with an overview of cloud computing and how trust and faults in cloud datacenters affects the performance and quality of service assured to the users. Discusses fundamental issues related to trust and fault-tolerance in Cloud Computing; Describes trust and fault management techniques in multi layered cloud architecture to improve security, reliability and performance of the system; Includes methods to enhance power efficiency and network efficiency, using trust and fault based resource allocation.
Download or read book Model Driven Development and Operation of Multi Cloud Applications written by Elisabetta Di Nitto and published by Springer. This book was released on 2016-12-22 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: This books is open access under a CC BY 4.0 license. This book summarizes work being undertaken within the collaborative MODAClouds research project, which aims to facilitate interoperability between heterogeneous Cloud platforms and remove the constraints of deployment, portability, and reversibility for end users of Cloud services. Experts involved in the project provide a clear overview of the MODAClouds approach and explain how it operates in a variety of applications. While the wide spectrum of available Clouds constitutes a vibrant technical environment, many early-stage issues pose specific challenges from a software engineering perspective. MODAClouds will provide methods, a decision support system, and an open source IDE and run-time environment for the high-level design, early prototyping, semiautomatic code generation, and automatic deployment of applications on multiple Clouds. It will free developers from the need to commit to a fixed Cloud technology stack during software design and offer benefits in terms of cost savings, portability of applications and data between Clouds, reversibility (moving applications and data from Cloud to non-Cloud environments), risk management, quality assurance, and flexibility in the development process.
Download or read book Proceeding of First Doctoral Symposium on Natural Computing Research written by Varsha H. Patil and published by Springer Nature. This book was released on 2021-03-18 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of papers presented at First Doctoral Symposium on Natural Computing Research (DSNCR 2020), held during 8 August 2020 in Pune, India. The book covers different topics of applied and natural computing methods having applications in physical sciences and engineering. The book focuses on computer vision and applications, soft computing, security for Internet of Things, security in heterogeneous networks, signal processing, intelligent transportation system, VLSI design and embedded systems, privacy and confidentiality, big data and cloud computing, bioinformatics and systems biology, remote healthcare, software security, mobile and pervasive computing, biometrics-based authentication, natural language processing, analysis and verification techniques, large scale networking, distributed systems, digital forensics, and human–computer interaction.
Download or read book Reliable and Intelligent Optimization in Multi Layered Cloud Computing Architectures written by Madhusudhan H. S. and published by CRC Press. This book was released on 2024-05-02 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Research Anthology on Architectures Frameworks and Integration Strategies for Distributed and Cloud Computing written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-01-25 with total page 2700 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed systems intertwine with our everyday lives. The benefits and current shortcomings of the underpinning technologies are experienced by a wide range of people and their smart devices. With the rise of large-scale IoT and similar distributed systems, cloud bursting technologies, and partial outsourcing solutions, private entities are encouraged to increase their efficiency and offer unparalleled availability and reliability to their users. The Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing is a vital reference source that provides valuable insight into current and emergent research occurring within the field of distributed computing. It also presents architectures and service frameworks to achieve highly integrated distributed systems and solutions to integration and efficient management challenges faced by current and future distributed systems. Highlighting a range of topics such as data sharing, wireless sensor networks, and scalability, this multi-volume book is ideally designed for system administrators, integrators, designers, developers, researchers, academicians, and students.
Download or read book Information System Design Communication Networks and IoT written by Vikrant Bhateja and published by Springer Nature. This book was released on with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt:
