Abstract In major Information Technology (IT) companies such as Google, Rackspace and
Amazon Web Services (AWS), virtualization and containerization technologies are usually …

Microservice architectures bring many benefits, eg, faster delivery, improved scalability, and
greater autonomy, so they are widely adopted to develop and operate Internet-based …

Edge-cloud jobs are rapidly prevailing in many application domains, posing the challenge of
using both resource-strenuous edge devices and elastic cloud resources. Efficient resource …

The undeniable potential of computation offloading has been attracting attention from
researchers for more than a decade. With advances in multi-access edge computing (MEC) …

Network function virtualization (NFV) enables elastic scaling to middlebox deployment and
management. Therefore, efficient stateful scaling is an important task because operators …

Deep learning (DL) models are increasingly built on federated edge participants holding
local data. To enable insight extractions without the risk of information leakage, DL training …

Modern distributed engines are increasingly deployed to accelerate large-scaled deep
learning (DL) training jobs. While the parallelism of distributed workers/nodes promises the …

The policy-based management paradigm in a flexible manner governs the system behavior.
For Cloud-native applications, additionally, it simplifies the compliance with CI/CD …

Modern cloud applications must be tuned for high performance. Yet, a single static
configuration is insufficient since a cloud application must deal with changes in workload …

Distributed in-memory computing frameworks usually have lots of parameters (eg, the buffer
size of shuffle) to form a configuration for each execution. A well-tuned configuration can …