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Building Cloud Networks and Internet Software Evolution

M. Jayakrishna, currently working as an Assistant Professor in Mechanical Engineering Department at Sri Sivani college of Engineering, Srikakulam (AP) India. I did my M. Tech. in Thermal Engineering from GMR Institute of Technology, Rajam in 2022; B.Tech. in Mechanical Engineering from GMR Institute of Technology, Rajam in 2020. My areas of research are 3D printing, Nano materials, composites,  Bio fuels, Engines. I published 6 papers in UGC/Scopus Journals.

Dr. John Martin has been an academic in computing education, research, and consulting for twenty-five years. He has extensive experience in higher education as an educator and administrator in India and the Middle East. Currently, he is working in the School of Computer Science and Information Technology at Jazan University (Ministry of Education), KSA. He has authored a book entitled “EEG Signal Processing: A Machine Learning-Based Framework.” He has published extensively in the fields of machine intelligence and biomedical data analytics and has served as an editor and reviewer for refereed journals. He is a professional member of IEEE and ACM. His research interests include machine intelligence, predictive analytics, and biomedical signal processing.

Ms Dipalee D. Rane / Chaudhari received her ME from University of Pune and Bachelor’s degree from J.T. Mahajan Faizpur, Maharashtra, India. Currently she is pursuing PhD from Vellore Institute of Technology (VIT) Chennai Campus. Since last 16 years she is working with D. Y. Patil College of Engineering, Akurdi, Pune- 44, Maharashtra, India

Dr. Herison Surbakti is working as  Lecturer in Universitas Respati Yogyakarta, INDONESIA, He had Teaching and supervising undergraduate students for more than a decade, published widely in refereed journals and presented papers in international conferences. Successful at managing international and interdisciplinary student team projects, focused on web-based health information systems and market business trend analytics and data visualization. Graduated PhD from Universiti Utara Malaysia with research interest focused on Data Analytics, Business Intelligence, and Knowledge Management. I am currently working as a permanent Lecturer in Universitas Respati Yogyakarta, Indonesia and also as a contract-based Lecturer at HELP University, Malaysia

Description

The ability of a buzzword to provide the appearance of meaning without really expressing that meaning is a distinguishing quality shared by all buzzwords. This perception of meaning may be conveyed without actually communicating the meaning. A great number of individuals are beginning to see the notion of “cloud computing” as if it were a foreign language. It is used in a broad range of contexts, and it often refers to subjects that do not seem to have any connection whatsoever. During one conversation, they discuss Google Gmail, and then, during the subsequent conversation, they discuss Amazon Elastic Compute Cloud (at least the latter has the term “cloud” in its name. Programrs and system administrators who are building transactional web applications in any cloud environment will find this manual to be comprehensive and all. encompassing. As I sit here and write this book, the term “cloud infrastructure” has come to be synonymous for the majority of people working in the cloud with Amazon Elastic Compute Cloud (EC2) and Amazon Simple Storage Service (S3). Because of this reality as well as the fact that I will be using examples from the Amazon cloud, it is vital for me to present an overview of cloud computing while putting an emphasis on the Amazon cloud. The vast majority of individuals who read this book have prior expertise in the creation of web applications that are hosted in traditional data centers. Now that we have a solid comprehension of what the cloud is and how cloud computing is done by Amazon, it is time to have a look at the challenges that you can face while moving your activities onto the cloud. Create a web application that is extremely scalable by doing what you would do anyway If your application can function behind a load balancer across a number of application server nodes without encountering any issues, you are essentially good to go, barring any particular regulatory or standards compliance concerns that may arise.

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