This survey examines approaches to promote Collaborative Learning in distributed systems
for emergent Intelligent Autonomous Systems (IAS). The study involves a literature review of …

In today's digital world, information is growing along with the expansion of Internet usage
worldwide. As a consequence, bulk of data is generated constantly which is known to be …

Machine Learning (ML) algorithms process input data making it possible to recognize and
extract patterns from a large data volume. Likewise, Internet of Things (IoT) devices provide …

Modern (industrial) domains are based on large digital ecosystems where huge amounts of
data and information need to be collected, shared, and analyzed by multiple actors working …

Businesses have begun using IT apps for a variety of reasons in recent years. The rapid
advancement of new technologies has opened up vast prospects for businesses to digitise …

Serverless applications are those that do not require the developer to provide or manage
any servers. The developer can focus on core product logic and development and just …

Data center workload allocation and resource utilization have been challenged by rising
cloud service demand. Load balancing ensures resource allocation, response time …

Generally, container resource allocation and job scheduling are the major concern in cloud
computing. To produce proper cloud virtualization and to perform an exact allocation …