Coud reliability engineering is a leading issue of cloud services. Cloud service providers guarantee computation, storage and applications through service-level agreements (SLAs) for promised levels of performance and uptime. Cloud Reliability Engineering: Technologies and Tools presents case studies examining cloud services, their challenges, and the reliability mechanisms used by cloud service providers. These case studies provide readers with techniques to harness cloud reliability and availability requirements in their own endeavors. Both conceptual and applied, the book explains reliability theory and the best practices used by cloud service companies to provide high availability. It also examines load balancing, and cloud security.
Written by researchers and practitioners, the book's chapters are a comprehensive study of cloud reliability and availability issues and solutions. Various reliability class distributions and their effects on cloud reliability are discussed. An important aspect of reliability block diagrams is used to categorize poor reliability of cloud infrastructures, where enhancement can be made to lower the failure rate of the system. This technique can be used in design and functional stages to determine poor reliability of a system and provide target improvements. Load balancing for reliability is examined as a migrating process or performed by using virtual machines. The approach employed to identify the lightly loaded destination node to which the processes/virtual machines migrate can be optimized by employing a genetic algorithm. To analyze security risk and reliability, a novel technique for minimizing the number of keys and the security system is presented. The book also provides an overview of testing methods for the cloud, and a case study discusses testing reliability, installability, and security. A comprehensive volume, Cloud Reliability Engineering: Technologies and Tools combines research, theory, and best practices used to engineer reliable cloud availability and performance.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für Beruf und Forschung
Professional Practice & Development
Illustrationen
100 s/w Abbildungen
100 Illustrations, black and white
Maße
Höhe: 234 mm
Breite: 156 mm
Gewicht
ISBN-13
978-0-367-71373-7 (9780367713737)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Rathnakar Achary, PhD, is an associate professor in the Department of Information Technology, Alliance College of Engineering and Design, Alliance University, Bangalore, India. He holds a doctoral degree in Computer Science and Engineering from SASTRA University, Thanjavur, Tamil Nadu, India. He is an alumnus of Mysore University. Dr. Achary is certified in mobile computing from the Indian Institute of Science Bangalore, National Accreditation Board for Testing & Calibration Laboratories (NABL; ISO-IEC: 17025) certified from the Federation of Indian Chambers of Commerce & Industry (FICCI) and is a certified Microsoft professional. The focus of his research is on mobile computing and wireless networks, cryptography and network security, the Internet of Things, cloud computing, edge/fog computing and cloud security. Dr. Achary has published more than15 research papers in peer-reviewed journals for publishers such as Springer, Institute of Electrical and Electronics and Engineers (IEEE) and Association for Computing Machinery (ACM). He has authored a book titled Cryptography and Network Security. He is a member of the Institute of Engineering and Technology (IET), Indian Societyfor Technical Education (ISTE) and Computer Society of India (CSI).
Pethuru Raj, PhD, works as chief architect and vice president at the Site Reliability Engineering (SRE) division of Reliance Jio Platforms Ltd., Bangalore, India. His previous stints were at the IBM Global Cloud Centre of Excellence (CoE), Wipro consulting services (WCS) and Robert Bosch Corporate Research (CR). In total, he has more than 19 years of information technology (IT) industry experience and 8 years of research experience. Dr. Raj finished the Council of Scientific & Industrial Research (CSIR)-sponsored PhD degree at Anna University, Chennai, India, and continued with the University Grants Commission (UGC)-sponsored postdoctoral research in the Department of Computer Science and Automation, Indian Institute of Science (IISc), Bangalore, India. Thereafter, Dr. Raj was granted a number of international research fellowships (Japan Society for the Promotion of Science [JSPS] and Japan Science and Technology Agency [JST]) to work as a research scientist for three and a half years in two leading Japanese universities. He has published more than 30 research papers in peer-reviewed journals for publishers such as the Institute of Electrical and Electronics and Engineers (IEEE), Association for Computing Machinery (ACM), Springer-Verlag, Interscience and so forth. He has authored and edited 20 books and contributed to 35 book chapters for various technology books edited by highly acclaimed and accomplished professors and professionals. His work focuses on some of the emerging technologies such as the Internet of Things (IoT), artificial intelligence (AI), Big and Fast Data Analytics, blockchains, digital twins,cloud-native computing, edge/fog clouds, reliability engineering, microservices architecture (MSA), event-driven architecture (EDA) and so forth. His personal website is https://sweetypeterdarren.wixsite.com/pethuru-raj-books.
Herausgeber*in
IBM Pvt.Ltd., India
1. Reliability Theory: To Analyze Cloud Datacenter Reliability. 2. Reliability and High Availability Analysis for Cloud Datacenter. 3. Engineering Resilient Microservices toward System Reliability: The Technologies and Tools. 4. Service Resiliency in Cloud and Network Function Virtualization. 5. Achieving Reliability of Quantum State in Cloud Infrastructure. 6. Reliability and Authenticity of Cloud-Based Technologies in Mobile Grid Environment Using Parameter-Based Malicious Node Detection Method. 7. Datacenter Reliability Pursuance with Optimized Load Balancers. 8. Dynamic Load Balancing by Employing Genetic Algorithm. 9. Predicting Reliability and Risk. 10. Experimental Analysis and Performance Enhancement of Security in Cloud Databases. 11. Could Execution Model to Attain Quality for Non-functional Testing. 12. Fault Tolerance Algorithms for Distributed Computing.
