Intelligent Virtual Machine (VM) provisioning is central to cost and res...
The emergence of latency-critical AI applications has been supported by ...
Since only a small number of traces generated from distributed tracing h...
Edge Federation is a new computing paradigm that seamlessly interconnect...
In recent years, the landscape of computing paradigms has witnessed a gr...
Task scheduling is a well-studied problem in the context of optimizing t...
The operational cost of a cloud computing platform is one of the most
si...
In recent years, deep learning models have become ubiquitous in industry...
With constrained resources, what, where, and how to cache at the edge is...
In recent years, the deployment of large-scale Internet of Things (IoT)
...
Efficient anomaly detection and diagnosis in multivariate time-series da...
Recently, intelligent scheduling approaches using surrogate models have ...
Workflow scheduling is a long-studied problem in parallel and distribute...
Building a fault-tolerant edge system that can quickly react to node
ove...
Modern large-scale computing systems distribute jobs into multiple small...
The worldwide adoption of cloud data centers (CDCs) has given rise to th...
In standard generative deep learning models, such as autoencoders or GAN...
Premier cloud service providers (CSPs) offer two types of purchase optio...
Intelligent task placement and management of tasks in large-scale fog
pl...
Many cloud service providers (CSPs) provide on-demand service at a price...
Function-as-a-Service (FaaS) is increasingly popular in the software ind...
Cloud computing delivers value to users by facilitating their access to
...
Queueing networks are systems of theoretical interest that give rise to
...
The Cloud computing paradigm has revolutionized the computer science hor...
Integrating a product of linear forms over the unit simplex can be done ...