Overview

The interaction of various service models, including edge computing and cloud computing, are quickly changing to better support microservices. This intricate weave of technology and information sharing is necessary to build systems that run faster and more efficiently. The interplay between these computing methods and microservices is emerging as the field of Osmotic Computing. Experts can now embark on an intellectual journey into data-driven exploration and ingenuity with the guidance of the book, Advanced Applications in Osmotic Computing. As ethical considerations become rising concerns, the potential biases, privacy encumbrances, and equitable conundrums of osmotic computing are investigated. This book offers judicious strategies to navigate these quandaries conscientiously, adding a layer of responsibility to the discourse. Within these pages, the very fabric of understanding in IoT, Cloud, Edge, Fog, and Machine Learning is redefined, marking a pivotal shift in the paradigm of technological comprehension. This book is an epicenter for the latest evolutions in osmotic computing, unfurling unconventional methodologies that shape the trajectory of data-driven decision-making. Readers will plunge into the theoretical bedrock, simultaneously witnessing pragmatic applications that adeptly bridge the schism between the theoretical constructs and pragmatic realization. Empowerment is at the core of this book, which is oriented toward researchers, practitioners, educators, and students. It furnishes them with sophisticated tools and strategies, propelling them to push the envelope of data analytics, predictive modeling, and intelligent interconnections. An emphasis is placed on the interpretability and transparency of models, ensuring not only precision but also a perspicuous apprehension of algorithmic determinations. Real-world applications can be constructed using the case studies to illustrate the applied facets of Osmotic Computing advancements across industries. Success narratives serve as catalysts of inspiration through practical implementations and manifesting the transformative potential of interconnectedness. Anticipate the future by scrutinizing emergent trends and trajectories in Osmotic Computing. Remain at the advanced, armed with insights that facilitate a proactive response to impending challenges and opportunities. Lifelong learning is cultivated through a compendium that readers can revisit, ensuring perpetual development within the osmotic computing community. The intended audience is multifaceted, encompassing data scientists, machine learning engineers, researchers, academics, educators, students, industry practitioners, interdisciplinary experts, and technology and business leaders.

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G. Revathy has around 14 years of teaching experience. she has published around 35 international journals, 9 books and 5 book chapters. Her area of interest includes wireless networks, machine learning and computer vision.

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