Cloud Reliability Engineering Technologies and Tools

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 Toolspresents 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.

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.

Rathnakar Achary Ph.D. 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. He is a certified in Mobile Computing from Indian Institute of Science Bangalore, NABL (ISO-IEC: 17025) certified from FICCI and is a certified Microsoft Professional. The focus of his research is mobile computing and wireless networks, cryptography and network security, internet of things, cloud computing, edge/fog computing and cloud security. Having published more than 15 research papers in peer-reviewed journals, he is the author of the book Cryptography and Network Security. He is a member of IET, ISTE, and CSI.

Pethuru Raj Ph.D. is the chief architect and vice-president in the site reliability engineering division of Reliance Jio　Platforms Ltd.,　Bangalore. He previously worked at the IBM Global Cloud Centre of Excellence, Wipro Consulting Services, and Robert Bosch Corporate Research. He earned a Ph.D. degree from Anna University, Chennai, and was a postdoctoral researcher in the Department of Computer Science and Automation, Indian Institute of Science, Bangalore. He was subsequently granted international research fellowships (JSPS and JST) to work as a research scientist for at two leading Japanese universities. Having published more than 30 research papers in peer-reviewed journals, he has authored and edited 20 books and contributed 35 book chapters. His research interests focus on such emerging technologies as the Internet of Things (IoT), artificial intelligence (AI), Big and Fast Data Analytics, blockchain, digital twins, cloud-native computing, edge/fog clouds, reliability engineering, microservices architecture (MSA), and event-driven architecture (EDA). His personal web site is at http