Cloud Continuum
Cloud Continuum encapsulates the growing adoption of cloud computing, the continuity of cloud innovations, the diversity of use cases for cloud, and the agility cloud brings to users.

VOL. 2 • NO. 3 Volume 2 Number 3

Intelligence in nature is pervasive, distributed and, in some cases, cooperative, whether we are considering Einstein’s development of the General Theory of Relativity, the ability of a mouse to learn a maze, or the ability of a plant to heal a wound). In computing, Artificial Intelligence (AI) is increasingly pervasive, distributed, and often, cooperative. It is an area that has been engineered for 7+ decades (and is ultimately based on the work of Alan Turing a decade before that) and, until recently, has focused on enabling systems to perform tasks, usually repetitive and routine in nature (for example robots in automobile manufacturing). Things are changing, though. AI has been making dramatic progress in generic domains such as speech recognition, visual perception, search, and language translation as well as in industry-specific applications such as manufacturing, education, and healthcare. Intelligence in IT is leveraged in many ways, such as relying on intelligent automation to optimize Infrastructure deployments, to improve the quality of testing, and to improve the effectiveness of security mechanisms.

– Mazin Yousif, Editor, Cloud Continuum



Discover Open Access Papers with the IEEE Open Journal of the Computer Society



VOL 2 • NO. 3 • 2022: Intelligence in the Continuum 

VOL. 2 • NO. 1 • 2022: Edge-Cloud Computing

October – November 2021: Dispersed Computing