[HTML][HTML] Modern computing: Vision and challenges
Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …
transformations, profoundly impacting society with transformational developments, such as …
Prediction-based scheduling techniques for cloud data center's workload: a systematic review
A cloud data center provides various facilities such as storage, data accessibility, and
running many specific applications on cloud resources. The unpredictable demand for …
running many specific applications on cloud resources. The unpredictable demand for …
Performance analysis of machine learning centered workload prediction models for cloud
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 …
high variability and dimensionality of heterogeneous service types and dynamic workloads …
Containerized microservices: A survey of resource management frameworks
The growing adoption of microservice architectures (MSAs) has led to major research and
development efforts to address their challenges and improve their performance, reliability …
development efforts to address their challenges and improve their performance, reliability …
A novel multimodal deep learning framework for encrypted traffic classification
Traffic classification is essential for cybersecurity maintenance and network management,
and has been widely used in QoS (Quality of Service) guarantees, intrusion detection, and …
and has been widely used in QoS (Quality of Service) guarantees, intrusion detection, and …
Multivariate workload and resource prediction in cloud computing using CNN and GRU by attention mechanism
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 …
over time in response to variations in the volume of incoming requests. Proactive …
Multi-task learning for electricity price forecasting and resource management in cloud based industrial IoT systems
Cloud computing has gained immense popularity in the logistics industry. This innovative
technology optimizes computing operations by eliminating the requirement for physical …
technology optimizes computing operations by eliminating the requirement for physical …
An efficient proactive VM consolidation technique with improved LSTM network in a cloud environment
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 …
the power consumption of datacenters will reach approximately 8000 TWh by 2030 if do not …
Practice of Alibaba cloud on elastic resource provisioning for large‐scale microservices cluster
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 …
environments due to the need for speed and flexibility in develo** applications. It utilizes …
A review of security issues and solutions for precision health in Internet-of-Medical-Things systems
Precision medicine provides a holistic perspective of an individual's health, including
genetic, environmental, and lifestyle aspects to realize individualized therapy. The …
genetic, environmental, and lifestyle aspects to realize individualized therapy. The …