Swarm Intelligence For Cloud Computing

Author : Indrajit Pan,Mohamed Abd Elaziz,Siddhartha Bhattacharyya
Publisher : CRC Press
Page : 198 pages
File Size : 43,8 Mb
Release : 2020-07-19
Category : Computers
ISBN : 9780429671760

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Swarm Intelligence for Cloud Computing by Indrajit Pan,Mohamed Abd Elaziz,Siddhartha Bhattacharyya Pdf

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.

Author : Abhishek Kumar,Pramod Singh Rathore,Vicente Garcia Diaz,Rashmi Agrawal
Publisher : John Wiley & Sons
Page : 384 pages
File Size : 43,5 Mb
Release : 2021-01-07
Category : Computers
ISBN : 9781119778745

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Swarm Intelligence Optimization by Abhishek Kumar,Pramod Singh Rathore,Vicente Garcia Diaz,Rashmi Agrawal Pdf

Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering, computer science, information security, and cloud computing, along with the modern tools and various technologies used in systems, leaving the reader with a high level of understanding of various techniques and algorithms used in resource optimization.

Author : Indrajit Pan,Mohamed Abd Elaziz,Siddhartha Bhattacharyya
Publisher : CRC Press
Page : 203 pages
File Size : 55,6 Mb
Release : 2020-07-19
Category : Computers
ISBN : 9780429670275

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Swarm Intelligence for Cloud Computing by Indrajit Pan,Mohamed Abd Elaziz,Siddhartha Bhattacharyya Pdf

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.

Author : Aboul Ella Hassanien,Ashraf Darwish
Publisher : Academic Press
Page : 192 pages
File Size : 53,5 Mb
Release : 2020-08-18
Category : Science
ISBN : 9780128182888

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Swarm Intelligence for Resource Management in Internet of Things by Aboul Ella Hassanien,Ashraf Darwish Pdf

Internet of Things (IoT) is a new platform of various physical objects or “things equipped with sensors, electronics, smart devices, software, and network connections. IoT represents a new revolution of the Internet network which is driven by the recent advances of technologies such as sensor networks (wearable and implantable), mobile devices, networking, and cloud computing technologies. IoT permits these the smart devices to collect, store and analyze the collected data with limited storage and processing capacities. Swarm Intelligence for Resource Management in the Internet of Things presents a new approach in Artificial Intelligence that can be used for resources management in IoT, which is considered a critical issue for this network. The authors demonstrate these resource management applications using swarm intelligence techniques. Currently, IoT can be used in many important applications which include healthcare, smart cities, smart homes, smart hospitals, environment monitoring, and video surveillance. IoT devices cannot perform complex on-site data processing due to their limited battery and processing. However, the major processing unit of an application can be transmitted to other nodes, which are more powerful in terms of storage and processing. By applying swarm intelligence algorithms for IoT devices, we can provide major advantages for energy saving in IoT devices. Swarm Intelligence for Resource Management in the Internet of Things shows the reader how to overcome the problems and challenges of creating and implementing swarm intelligence algorithms for each application Examines the development and application of swarm intelligence systems in artificial intelligence as applied to the Internet of Things Discusses intelligent techniques for the implementation of swarm intelligence in IoT Prepared for researchers and specialists who are interested in the use and integration of IoT and cloud computing technologies

Author : Hongwei Zhao
Publisher : Unknown
Page : 128 pages
File Size : 48,8 Mb
Release : 2017-06-14
Category : Electronic
ISBN : 0999244302

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

Author : Fausto Pedro García Márquez
Publisher : Springer Nature
Page : 582 pages
File Size : 48,7 Mb
Release : 2022-05-04
Category : Technology & Engineering
ISBN : 9783030929053

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International Conference on Intelligent Emerging Methods of Artificial Intelligence & Cloud Computing by Fausto Pedro García Márquez Pdf

This book consists of different accepted papers of the conference. Firstly, the artificial intelligence and its application-related topics are provided. Secondly, cloud computing and related topics are also provided. The book has been designed to help research organisations and business leaders from across industries to transform their organisations into AI-driven disruptors. The utility of the technology in the face of massive globally interconnected complexity is explored. The significant characteristics of IEMAICLOUD are the promotion of inevitable dialogue between scientists, researchers, engineers, corporate’s and scholar’s students to mitigate the gap between academia, industry and governmental ethics which has been fostered through keynote speeches, workshops, panel discussion and oral presentations by eminent researchers in relevant field. The industry personnel depict cutting-edge researches in artificial intelligence and cloud computing to convey academia regarding real-time scenario and practical findings. Conference has been well equipped with talks by industry experts on the state of the art in computer science, lectures by eminent scientists designed to inspire and inform presentations by innovative researchers coming from 20+ countries from Europe and abroad. There has been discussion-oriented sessions and networking breaks to enable collaborations. Papers consist abstract, result, discussions and conclusions by the help of different tables and diagrams.

Author : Ying Tan,Yuhui Shi,Fernando Buarque,Alexander Gelbukh,Swagatam Das,Andries Engelbrecht
Publisher : Springer
Page : 498 pages
File Size : 46,7 Mb
Release : 2015-06-01
Category : Computers
ISBN : 9783319204727

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Advances in Swarm and Computational Intelligence by Ying Tan,Yuhui Shi,Fernando Buarque,Alexander Gelbukh,Swagatam Das,Andries Engelbrecht Pdf

This book and its companion volumes, LNCS volumes 9140, 9141 and 9142, constitute the proceedings of the 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China in June 2015. The 161 revised full papers presented were carefully reviewed and selected from 294 submissions. The papers are organized in 28 cohesive sections covering all major topics of swarm intelligence and computational intelligence research and development, such as novel swarm-based optimization algorithms and applications; particle swarm opt8imization; ant colony optimization; artificial bee colony algorithms; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid methods; multi-objective optimization; multi-agent systems and swarm robotics; Neural networks and fuzzy methods; data mining approaches; information security; automation control; combinatorial optimization algorithms; scheduling and path planning; machine learning; blind sources separation; swarm interaction behavior; parameters and system optimization; neural networks; evolutionary and genetic algorithms; fuzzy systems; forecasting algorithms; classification; tracking analysis; simulation; image and texture analysis; dimension reduction; system optimization; segmentation and detection system; machine translation; virtual management and disaster analysis.

Author : Loureiro, Sandra Maria Correia,Guerreiro, João
Publisher : IGI Global
Page : 432 pages
File Size : 54,9 Mb
Release : 2021-06-25
Category : Education
ISBN : 9781799869658

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Handbook of Research on Developing a Post-Pandemic Paradigm for Virtual Technologies in Higher Education by Loureiro, Sandra Maria Correia,Guerreiro, João Pdf

The COVID-19 pandemic has forced companies, institutions, citizens, and students to rapidly change their behaviors and use virtual technologies to perform their usual working tasks. Though virtual technologies for learning were already present in most universities, the pandemic has forced virtual technologies to lead the way in order to continue teaching and learning for students and faculty around the world. Universities and teachers had to quickly adjust everything from their curriculum to their teaching styles in order to adapt to an online learning environment. Online learning is a complex issue and one that comes with both challenges and opportunities; there is plenty of room for growth, and further study is required to better understand how to improve online education. The Handbook of Research on Developing a Post-Pandemic Paradigm for Virtual Technologies in Higher Education is a comprehensive reference book that presents the testimonials of teachers and students with various degrees of experience with distance learning and their utilization of current virtual tools and applications for learning, as well as the impact of these technologies and their potential future use. With topics ranging from designing an online learning course to discussing group work in an online environment, this book is ideal for teachers, educational software developers, IT consultants, instructional designers, administrators, professors, researchers, lecturers, students, and all those who are interested in learning more about distance learning and all the positive and negative aspects that accompany it.

Author : Sanjay Misra,Amit Kumar Tyagi,Vincenzo Piuri,Lalit Garg
Publisher : Springer Nature
Page : 358 pages
File Size : 42,7 Mb
Release : 2022-01-13
Category : Computers
ISBN : 9783030808211

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Artificial Intelligence for Cloud and Edge Computing by Sanjay Misra,Amit Kumar Tyagi,Vincenzo Piuri,Lalit Garg Pdf

This book discusses the future possibilities of AI with cloud computing and edge computing. The main goal of this book is to conduct analyses, implementation and discussion of many tools (of artificial intelligence, machine learning and deep learning and cloud computing, fog computing, and edge computing including concepts of cyber security) for understanding integration of these technologies. With this book, readers can quickly get an overview of these emerging topics and get many ideas of the future of AI with cloud, edge, and in many other areas. Topics include machine and deep learning techniques for Internet of Things based cloud systems; security, privacy and trust issues in AI based cloud and IoT based cloud systems; AI for smart data storage in cloud-based IoT; blockchain based solutions for AI based cloud and IoT based cloud systems.This book is relevent to researchers, academics, students, and professionals.

Author : Subhendu Kumar Pani,Somanath Tripathy,George Jandieri,Sumit Kundu,Talal Ashraf Butt
Publisher : CRC Press
Page : 346 pages
File Size : 48,9 Mb
Release : 2022-09-01
Category : Technology & Engineering
ISBN : 9781000793550

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Applications of Machine Learning in Big-Data Analytics and Cloud Computing by Subhendu Kumar Pani,Somanath Tripathy,George Jandieri,Sumit Kundu,Talal Ashraf Butt Pdf

Cloud Computing and Big Data technologies have become the new descriptors of the digital age. The global amount of digital data has increased more than nine times in volume in just five years and by 2030 its volume may reach a staggering 65 trillion gigabytes. This explosion of data has led to opportunities and transformation in various areas such as healthcare, enterprises, industrial manufacturing and transportation. New Cloud Computing and Big Data tools endow researchers and analysts with novel techniques and opportunities to collect, manage and analyze the vast quantities of data. In Cloud and Big Data Analytics, the two areas of Swarm Intelligence and Deep Learning are a developing type of Machine Learning techniques that show enormous potential for solving complex business problems. Deep Learning enables computers to analyze large quantities of unstructured and binary data and to deduce relationships without requiring specific models or programming instructions. This book introduces the state-of-the-art trends and advances in the use of Machine Learning in Cloud and Big Data Analytics. The book will serve as a reference for Data Scientists, systems architects, developers, new researchers and graduate level students in Computer and Data science. The book will describe the concepts necessary to understand current Machine Learning issues, challenges and possible solutions as well as upcoming trends in Big Data Analytics.

Author : Hari Mohan Dubey,Manjaree Pandit,Laxmi Srivastava,Bijaya Ketan Panigrahi
Publisher : Springer Nature
Page : 483 pages
File Size : 50,6 Mb
Release : 2021-07-19
Category : Technology & Engineering
ISBN : 9789811612206

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Artificial Intelligence and Sustainable Computing by Hari Mohan Dubey,Manjaree Pandit,Laxmi Srivastava,Bijaya Ketan Panigrahi Pdf

This book presents the outcome of two-day 2nd International e-Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2020) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from December 18–19, 2020. The book extensively covers recent research in artificial intelligence (AI) that knit together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.

Author : Kuldeep Singh Kaswan,Jagjit Singh Dhatterwal,Avadhesh Kumar
Publisher : John Wiley & Sons
Page : 260 pages
File Size : 52,9 Mb
Release : 2023-02-08
Category : Computers
ISBN : 9781119865551

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Swarm Intelligence by Kuldeep Singh Kaswan,Jagjit Singh Dhatterwal,Avadhesh Kumar Pdf

SWARM INTELLIGENCE This important authored book presents valuable new insights by exploring the boundaries shared by cognitive science, social psychology, artificial life, artificial intelligence, and evolutionary computation by applying these insights to solving complex engineering problems. Motivated by the capability of the biologically inspired algorithms, “Swarm Intelligence: An Approach from Natural to Artificial” focuses on ant, cat, crow, elephant, grasshopper, water wave and whale optimization, swarm cyborg and particle swarm optimization, and presents recent developments and applications concerning optimization with swarm intelligence techniques. The goal of the book is to offer a wide spectrum of sample works developed in leading research throughout the world about innovative methodologies of swarm intelligence and foundations of engineering swarm intelligent systems; as well as applications and interesting experiences using particle swarm optimization, which is at the heart of computational intelligence. Discussed in the book are applications of various swarm intelligence models to operational planning of energy plants, modeling, and control of robots, organic computing, techniques of cloud services, bioinspired optimization, routing protocols for next-generation networks inspired by collective behaviors of insect societies and cybernetic organisms. Audience The book is directed to researchers, practicing engineers, and students in computational intelligence who are interested in enhancing their knowledge of techniques and swarm intelligence.

Author : Ying Tan,Yuhui Shi,Fernando Buarque,Alexander Gelbukh,Swagatam Das,Andries Engelbrecht
Publisher : Springer
Page : 496 pages
File Size : 49,6 Mb
Release : 2015-06-01
Category : Computers
ISBN : 9783319204697

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Advances in Swarm and Computational Intelligence by Ying Tan,Yuhui Shi,Fernando Buarque,Alexander Gelbukh,Swagatam Das,Andries Engelbrecht Pdf

This book and its companion volumes, LNCS volumes 9140, 9141 and 9142, constitute the proceedings of the 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China in June 2015. The 161 revised full papers presented were carefully reviewed and selected from 294 submissions. The papers are organized in 28 cohesive sections covering all major topics of swarm intelligence and computational intelligence research and development, such as novel swarm-based optimization algorithms and applications; particle swarm opt8imization; ant colony optimization; artificial bee colony algorithms; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid methods; multi-objective optimization; multi-agent systems and swarm robotics; Neural networks and fuzzy methods; data mining approaches; information security; automation control; combinatorial optimization algorithms; scheduling and path planning; machine learning; blind sources separation; swarm interaction behavior; parameters and system optimization; neural networks; evolutionary and genetic algorithms; fuzzy systems; forecasting algorithms; classification; tracking analysis; simulation; image and texture analysis; dimension reduction; system optimization; segmentation and detection system; machine translation; virtual management and disaster analysis.

Author : Debahuti Mishra,Rajkumar Buyya,Prasant Mohapatra,Srikanta Patnaik
Publisher : Springer Nature
Page : 676 pages
File Size : 47,9 Mb
Release : 2020-08-28
Category : Technology & Engineering
ISBN : 9789811562020

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Intelligent and Cloud Computing by Debahuti Mishra,Rajkumar Buyya,Prasant Mohapatra,Srikanta Patnaik Pdf

This book features a collection of high-quality research papers presented at the International Conference on Intelligent and Cloud Computing (ICICC 2019), held at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India, on December 20, 2019. Including contributions on system and network design that can support existing and future applications and services, it covers topics such as cloud computing system and network design, optimization for cloud computing, networking, and applications, green cloud system design, cloud storage design and networking, storage security, cloud system models, big data storage, intra-cloud computing, mobile cloud system design, real-time resource reporting and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and networking for machine learning systems.

Author : Samarjeet Borah,Ranjit Panigrahi
Publisher : CRC Press
Page : 281 pages
File Size : 40,7 Mb
Release : 2022-02-03
Category : Computers
ISBN : 9781000406658

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Applied Soft Computing by Samarjeet Borah,Ranjit Panigrahi Pdf

This new volume explores a variety of modern techniques that deal with estimated models and give resolutions to complex real-life issues. Soft computing has played a crucial role not only with theoretical paradigms but is also popular for its pivotal role for designing a large variety of expert systems and artificial intelligence-based applications. Involving the concepts and practices of soft computing in conjunction with other frontier research domains, this book begins with the basics and goes on to explore a variety of modern applications of soft computing in areas such as approximate reasoning, artificial neural networks, Bayesian networks, big data analytics, bioinformatics, cloud computing, control systems, data mining, functional approximation, fuzzy logic, genetic and evolutionary algorithms, hybrid models, machine learning, metaheuristics, neuro fuzzy system, optimization, randomized searches, and swarm intelligence. This book will be helpful to a wide range of readers who wish to learn applications of soft computing approaches. It will be useful for academicians, researchers, students, and machine learning experts who use soft computing techniques and algorithms to develop cutting-edge artificial intelligence-based applications.