Название: Trustworthy Autonomic ComputingАвтор: Thaddeus Eze
Издательство: The Institution of Engineering and Technology
Серия: IET Computing Series
Год: 2022
Страниц: 264
Язык: английский
Формат: pdf (true)
Размер: 13.3 MB
The concept of autonomic computing seeks to reduce the complexity of pervasively ubiquitous system management and maintenance by shifting the responsibility for low-level tasks from humans to the system while allowing humans to concentrate on high-level tasks. This is achieved by building self-managing systems that are generally capable of self-configuring, self-healing, self-optimising, and self-protecting. Trustworthy autonomic computing technologies are being applied in datacentre and cloud management, smart cities and autonomous systems including driverless cars. However, there are still significant challenges to achieving trustworthiness. This book covers challenges and solutions in autonomic computing trustworthiness from methods and techniques to achieve consistent and reliable system self-management. SES is one out of three types of exponential smoothing techniques. It is suitable for series that are unpredictable, i.e., series with no trend or seasonality. Holt’s exponential smoothing is suitable for series with trend and no seasonality while Winter’s exponential smoothing is suitable for series with trend and seasonality. These can be implemented in Python using the Statsmodels package.
Название: Recoil
Название: America's Civil War