The explosive growth of users and applications in IoT environments has promoted the
development of cloud computing. In the cloud computing environment, task scheduling plays …

With the emergence of a large number of computation-intensive and time-sensitive
applications, smart terminal devices with limited resources can only run the model training …

Large-scale software systems are currently designed as distributed entities and deployed in
cloud data centers. To overcome the limitations inherent to this type of deployment …

A large number of modern applications and systems are cloud-hosted, however, limitations
in performance assurances from the cloud, and the longer and often unpredictable endto …

As the use of cloud computing continues to rise, controlling cost becomes increasingly
important. Yet there is evidence that 30\%-45\% of cloud spend is wasted. Existing tools for …

Compared to traditional distributed computing paradigms, a major advantage of cloud
computing is the ability to provide more reliable, affordable, flexible resources for the …

Predictive cloud resource management has been widely adopted to overcome the
limitations of reactive cloud autoscaling. The predictive resource management is highly …

As an increasing number of traditional applications migrated to the cloud, achieving
resource management and performance optimization in such a dynamic and uncertain …

To reduce the price of pay-as-you-go style cloud applications, an increasing number of
cloud service providers offer resource reservation-based services that allow tenants to …

User-facing services are now evolving towards the microservice architecture where a
service is built by connecting multiple microservice stages. While an entire service is heavy …