June 14, 2021

Download Ebook Free Optimized Cloud Resource Management And Scheduling

Optimized Cloud Resource Management and Scheduling

Optimized Cloud Resource Management and Scheduling
Author : Wenhong Dr. Tian,Yong Dr. Zhao
Publisher : Morgan Kaufmann
Release Date : 2014-10-15
Category : Computers
Total pages :284
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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

Adaptive Resource Management and Scheduling for Cloud Computing

Adaptive Resource Management and Scheduling for Cloud Computing
Author : Florin Pop,Maria Potop-Butucaru
Publisher : Springer
Release Date : 2016-01-07
Category : Computers
Total pages :187
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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.

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

Intelligent Resource Scheduling with Neutrosophic Knowledge and Optimized Cache Management Using Cuckoo Search Method in Cloud Computing
Author : Kiruthiga Gurumurthy,Mary Vennila Selvadurai
Publisher : Infinite Study
Release Date : 2021
Category : Mathematics
Total pages :12
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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.

Optimized Cloud Based Scheduling

Optimized Cloud Based Scheduling
Author : Rong Kun Jason Tan,John A. Leong,Amandeep S. Sidhu
Publisher : Springer
Release Date : 2018-02-24
Category : Computers
Total pages :99
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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.

Cloud Computing for Optimization: Foundations, Applications, and Challenges

Cloud Computing for Optimization: Foundations, Applications, and Challenges
Author : Bhabani Shankar Prasad Mishra,Himansu Das,Satchidananda Dehuri,Alok Kumar Jagadev
Publisher : Springer
Release Date : 2018-02-26
Category : Computers
Total pages :463
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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.

Resource Management and Efficiency in Cloud Computing Environments

Resource Management and Efficiency in Cloud Computing Environments
Author : Turuk, Ashok Kumar,Sahoo, Bibhudatta,Addya, Sourav Kanti
Publisher : IGI Global
Release Date : 2016-11-08
Category : Computers
Total pages :352
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Today’s advancements in technology have brought about a new era of speed and simplicity for consumers and businesses. Due to these new benefits, the possibilities of universal connectivity, storage and computation are made tangible, thus leading the way to new Internet-of Things solutions. Resource Management and Efficiency in Cloud Computing Environments is an authoritative reference source for the latest scholarly research on the emerging trends of cloud computing and reveals the benefits cloud paths provide to consumers. Featuring coverage across a range of relevant perspectives and topics, such as big data, cloud security, and utility computing, this publication is an essential source for researchers, students and professionals seeking current research on the organization and productivity of cloud computing environments.

Cloud Computing

Cloud Computing
Author : Frederic Magoules,Jie Pan,Fei Teng
Publisher : CRC Press
Release Date : 2012-09-20
Category : Mathematics
Total pages :231
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As more and more data is generated at a faster-than-ever rate, processing large volumes of data is becoming a challenge for data analysis software. Addressing performance issues, Cloud Computing: Data-Intensive Computing and Scheduling explores the evolution of classical techniques and describes completely new methods and innovative algorithms. The book delineates many concepts, models, methods, algorithms, and software used in cloud computing. After a general introduction to the field, the text covers resource management, including scheduling algorithms for real-time tasks and practical algorithms for user bidding and auctioneer pricing. It next explains approaches to data analytical query processing, including pre-computing, data indexing, and data partitioning. Applications of MapReduce, a new parallel programming model, are then presented. The authors also discuss how to optimize multiple group-by query processing and introduce a MapReduce real-time scheduling algorithm. A useful reference for studying and using MapReduce and cloud computing platforms, this book presents various technologies that demonstrate how cloud computing can meet business requirements and serve as the infrastructure of multidimensional data analysis applications.

Modern Technologies in Materials, Mechanics and Intelligent Systems

Modern Technologies in Materials, Mechanics and Intelligent Systems
Author : X.Y. Huang,X.B. Zhu,K.L. Xu,J.H. Wu
Publisher : Trans Tech Publications Ltd
Release Date : 2014-10-10
Category : Technology & Engineering
Total pages :2220
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Volume is indexed by Thomson Reuters CPCI-S (WoS). Collection of selected, peer reviewed papers from the 2014 4th International Conference on Intelligent System and Applied Material (GSAM 2014), August 23-24, 2014, Taiyuan, China. The 462 papers are grouped as follows: Chapter 1: Advanced Material Science and Technologies, Chapter 2: Building Materials, Civil Engineering, Architecture and Construction Technologies, Chapter 3: Biomedical Engineering, Chapter 4: Energy and Power Systems, Electrical and Electronic Engineering, Chapter 5: Designing of Machines, Manufacturing Technologies, Automation and Control in Mechanical Engineering, Chapter 6: Measurements and Monitoring, Chapter 7: Applied Mathematics, Processing of Data and Signal, Data Mining and Computational Procedures, Chapter 8: Theory and Practice of Information Technologies and Communications.

Swarm Intelligence for Cloud Computing

Swarm Intelligence for Cloud Computing
Author : Indrajit Pan,Mohamed Abd Elaziz,Siddhartha Bhattacharyya
Publisher : CRC Press
Release Date : 2020-07-19
Category : Computers
Total pages :198
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Swarm Intelligence in Cloud Computing is an invaluable treatise for researchers involved in delivering intelligent optimized solutions for reliable deployment, infrastructural stability, and security issues of cloud-based resources. Starting with a bird’s eye view on the prevalent state-of-the-art techniques, this book enriches the readers with the knowledge of evolving swarm intelligent optimized techniques for addressing different cloud computing issues including task scheduling, virtual machine allocation, load balancing and optimization, deadline handling, power-aware profiling, fault resilience, cost-effective design, and energy efficiency. The book offers comprehensive coverage of the most essential topics, including: Role of swarm intelligence on cloud computing services Cloud resource sharing strategies Cloud service provider selection Dynamic task and resource scheduling Data center resource management. Indrajit Pan is an Associate Professor in Information Technology of RCC Institute of Information Technology, India. He received his PhD from Indian Institute of Engineering Science and Technology, Shibpur, India. With an academic experience of 14 years, he has published around 40 research publications in different international journals, edited books, and conference proceedings. Mohamed Abd Elaziz is a Lecturer in the Mathematical Department of Zagazig University, Egypt. He received his PhD from the same university. He is the author of more than 100 articles. His research interests include machine learning, signal processing, image processing, cloud computing, and evolutionary algorithms. Siddhartha Bhattacharyya is a Professor in Computer Science and Engineering of Christ University, Bangalore. He received his PhD from Jadavpur University, India. He has published more than 230 research publications in international journals and conference proceedings in his 20 years of academic experience.

Pervasive Cloud Computing Technologies: Future Outlooks and Interdisciplinary Perspectives

Pervasive Cloud Computing Technologies: Future Outlooks and Interdisciplinary Perspectives
Author : Grandinetti, Lucio
Publisher : IGI Global
Release Date : 2013-10-31
Category : Computers
Total pages :325
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Technology trends may come and go, but cloud computing technologies have been gaining consideration in the commercial world due to its ability to provide on-demand access to resources, control the software environment, and supplement existing systems. Pervasive Cloud Computing Technologies: Future Outlooks and Interdisciplinary Perspectives explores the latest innovations with cloud computing and the impact of these new models and technologies. This book will present case studies and research on the future of cloud computing technologies and its ability to increase connectivity of various entities of the world. It is an essential resource for technology practitioners, engineers, managers, and academics aiming to gain the knowledge of these novel and pervasive technologies.

Automated Workflow Scheduling in Self-Adaptive Clouds

Automated Workflow Scheduling in Self-Adaptive Clouds
Author : G. Kousalya,P. Balakrishnan,C. Pethuru Raj
Publisher : Springer
Release Date : 2017-05-25
Category : Computers
Total pages :225
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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.

Optimizing Energy Consumption of Cloud Computing IaaS

Optimizing Energy Consumption of Cloud Computing IaaS
Author : Huda Ibrahim Mohamed
Publisher : Unknown
Release Date : 2017
Category : Cloud computing
Total pages :82
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"Cloud computing infrastructures are designed to support the accessibility and availability of various services to consumers over the Internet. Datacenters hosting Cloud applications consume massive amounts of power, contributing to high carbon footprints to the environment. Hence, Green Cloud computing solutions are needed within the Cloud datacenters that optimize the energy consumption. The main objective of this thesis is to address the problem of power and carbon efficient resource management in a Cloud datacenter. This work focuses on the development of a dynamic task scheduling algorithm to enhance the datacenter power efficiency over time. To achieve this objective, a formal optimization model is proposed using Integer Linear Programming (ILP) that minimizes the energy consumption in a Cloud datacenter. The model is verified using exact techniques and the Genetics Algorithm (GA) heuristic-based technique. Furthermore, an adaptive GA is proposed to reflect the dynamic nature of the Cloud computing environment. The proposed adaptive GA is validated by simulating an IaaS Cloud environment and conducting a set of performance and quality evaluation study in this environment. The results demonstrate that the proposed solution offers performance gains with regards to response time and in reducing the power consumption in the Cloud datacenter."--Abstract.

Advances on Broadband and Wireless Computing, Communication and Applications

Advances on Broadband and Wireless Computing, Communication and Applications
Author : Leonard Barolli,Fang-Yie Leu,Tomoya Enokido,Hsing-Chung Chen
Publisher : Springer
Release Date : 2018-10-18
Category : Technology & Engineering
Total pages :777
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This book presents on the latest research findings, and innovative research methods and development techniques related to the emerging areas of broadband and wireless computing from both theoretical and practical perspectives. Information networking is evolving rapidly with various kinds of networks with different characteristics emerging and being integrated into heterogeneous networks. As a result, a number of interconnection problems can occur at different levels of the communicating entities and communication networks’ hardware and software design. These networks need to manage an increasing usage demand, provide support for a significant number of services, guarantee their QoS, and optimize the network resources. The success of all-IP networking and wireless technology has changed the way of life for people around the world, and the advances in electronic integration and wireless communications will pave the way for access to the wireless networks on the fly. This in turn means that all electronic devices will be able to exchange the information with each other in a ubiquitous way whenever necessary.

Sensors, Measurement and Intelligent Materials

Sensors, Measurement and Intelligent Materials
Author : Yun Hae Kim,Prasad Yarlagadda
Publisher : Trans Tech Publications Ltd
Release Date : 2013-02-13
Category : Technology & Engineering
Total pages :3310
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Volume is indexed by Thomson Reuters CPCI-S (WoS). The papers of this 4 volumes set on "Sensors, Measurement and Intelligent Materials" are grouped as follows: Chapter 1: Intelligent Materials and Structures; Chapter 2: Sensors; Chapter 3: Techniques for Measurement, Detection and Monitoring; Chapter 4: Data Acquisition, Data Mining and Data Processing; Chapter 5: Automation and Control. Technologies and Engineering; Chapter 6: Intelligent System; Chapter 7: Mechatronics; Chapter 8: Microelectronics, Electronics and Electrical. Circuits and Devices; Chapter 9: Network Engineering and Communication Technology; Chapter 10: Applied Computing and Information Technologies; Chapter 11: Materials and Processing Technologies; Chapter 12: Applied Mechanics in General Mechanical Engineering and Construction.

Research Advances in Cloud Computing

Research Advances in Cloud Computing
Author : Sanjay Chaudhary,Gaurav Somani,Rajkumar Buyya
Publisher : Springer
Release Date : 2017-12-28
Category : Computers
Total pages :465
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This book addresses the emerging area of cloud computing, providing a comprehensive overview of the research areas, recent work and open research problems. The move to cloud computing is no longer merely a topic of discussion; it has become a core competency that every modern business needs to embrace and excel at. It has changed the way enterprise and internet computing is viewed, and this success story is the result of the long-term efforts of computing research community around the globe. It is predicted that by 2026 more than two-thirds of all enterprises across the globe will be entirely run in cloud. These predictions have led to huge levels of funding for research and development in cloud computing and related technologies. Accordingly, universities across the globe have incorporated cloud computing and its related technologies in their curriculum, and information technology (IT) organizations are accelerating their skill-set evolution in order to be better prepared to manage emerging technologies and public expectations of the cloud, such as new services.