Mostapha Zbakh – författare

High-performance computing as significantly evolves during the last two decades with the advent and consideration of multicores configurations and general-purpose GPUs. In the same time but more recently, artificial intelligence has gained a serious popularity and is considered in a broad range of applications. Cutting-edge AI, which typically involving large models and huge volume of training datasets, cannot be considered without the support of HPC infrastructures and techniques. Cloud computing is the most affordable way to leverage the power of HPC systems. As collection of valuable inputs from high-standard scientists, “Artificial Intelligence and High-Performance Computing in the Cloud: Upcoming” is certainly a book that should be given a serious consideration.

This book present state-of-the-art research results, address new challenges, and discuss trends and opportunities related with all aspects and applications of Cloud Technology and Artificial Intelligence. Cloud computing can be seen as any subscription-based on pay-per-use service that extends the Internet’s existing capabilities and has gained more considerable attention from both academia and the IT industry as a new infrastructure requiring smaller investments in hardware platforms, staff training, or licensing software tools.For its part, artificial intelligence has gained a serious popularity and is considered in a broad range of applications. Cutting-edge AI, which typically involving large models and huge volume of training datasets, cannot be considered without the support of cloud infrastructure and techniques.Cloud computing is the most affordable way to meet AI's power requirements in terms of data storage and computation. It essentially shows how the cloud can be used to support AI in order to achieve consistent results.Gathering papers presented at the 7th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech'25), this book offers a valuable resource for all Information System Managers, researchers, Ph.D. students, developers, end users and policy makers involved in the field of technological and application aspects of cloud and AI.

This book present state-of-the-art research results, address new challenges, and discuss trends and opportunities related with all aspects and applications of Cloud Technology and Artificial Intelligence. Cloud computing can be seen as any subscription-based on pay-per-use service that extends the Internet’s existing capabilities and has gained more considerable attention from both academia and the IT industry as a new infrastructure requiring smaller investments in hardware platforms, staff training, or licensing software tools.For its part, artificial intelligence has gained a serious popularity and is considered in a broad range of applications. Cutting-edge AI, which typically involving large models and huge volume of training datasets, cannot be considered without the support of cloud infrastructure and techniques.Cloud computing is the most affordable way to meet AI's power requirements in terms of data storage and computation. It essentially shows how the cloud can be used to support AI in order to achieve consistent results.Gathering papers presented at the 7th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech'25), this book offers a valuable resource for all Information System Managers, researchers, Ph.D. students, developers, end users and policy makers involved in the field of technological and application aspects of cloud and AI.

This book addresses topics related to cloud and Big Data technologies, architecture and applications including distributed computing and data centers, cloud infrastructure and security, and end-user services. The majority of the book is devoted to the security aspects of cloud computing and Big Data.  Cloud computing, which can be seen as any subscription-based or pay-per-use service that extends the Internet’s existing capabilities, has gained considerable attention from both academia and the IT industry as a new infrastructure requiring smaller investments in hardware platforms, staff training, or licensing software tools. It is a new paradigm that has ushered in a revolution in both data storage and computation. In parallel to this progress, Big Data technologies, which rely heavily on cloud computing platforms for both data storage and processing, have been developed and deployed at breathtaking speed. They are among the most frequently used technologies for developing applications and services in many fields, such as the web, health, and energy.  Accordingly, cloud computing and Big Data technologies are two of the most central current and future research mainstreams. They involve and impact a host of fields, including business, scientific research, and public and private administration.   Gathering extended versions of the best papers presented at the Third International Conference on Cloud Computing Technologies and Applications (CloudTech’17), this book offers a valuable resource for all Information System managers, researchers, students, developers, and policymakers involved in the technological and application aspects of cloud computing and Big Data.