Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …

A cloud data center provides various facilities such as storage, data accessibility, and
running many specific applications on cloud resources. The unpredictable demand for …

The precise estimation of resource usage is a complex and challenging issue due to the
high variability and dimensionality of heterogeneous service types and dynamic workloads …

Traffic classification is essential for cybersecurity maintenance and network management,
and has been widely used in QoS (Quality of Service) guarantees, intrusion detection, and …

The resources required to service cloud computing applications are dynamic and fluctuate
over time in response to variations in the volume of incoming requests. Proactive …

The growing adoption of microservice architectures (MSAs) has led to major research and
development efforts to address their challenges and improve their performance, reliability …

The key challenges in cloud computing encompass dynamic resource scaling, load
balancing, and power consumption. Accurate workload prediction is identified as a crucial …

Cloud‐native architecture is becoming increasingly crucial for today's cloud computing
environments due to the need for speed and flexibility in develo** applications. It utilizes …

The power consumption of datacenters is multiplying, and several survey reports stated that
the power consumption of datacenters will reach approximately 8000 TWh by 2030 if do not …

Cloud computing has gained immense popularity in the logistics industry. This innovative
technology optimizes computing operations by eliminating the requirement for physical …