ECO 2024

Call for Papers

Scope

Interconnecting a plethora of data sources, devices, and sensors in the current Internet of Things (IoT)-driven Internet era, has introduced new challenges concerning resource and data management in an efficient, yet trustworthy manner. The Cloud-Edge Orchestration establishes a new paradigm that allows for edge devices (IoT, sensors etc) even in wide scale implementations to exploit the computational and storage capacity of the cloud without trading response times, latency, and bandwidth. 

This workshop aims to shed light on the particular aspects of orchestration that deal with fundamental challenges in the Edge-Cloud continuum such as efficient resource and network bandwidth utilization, microservices deployment, data management, adaptive and automated cross-layer configuration, anomaly detection, and security. Paradigms that concern specific use-case applications, pragmatical evaluation and experimentation, are of special interest for this workshop. We also encourage theoretical contributions, such as ML approaches for resource-constraint environments, distributed learning and optimization. 

The workshop aims to strengthen the research agenda in the field by bringing together industrial and academic stakeholders, developers and research project participants. 

Topics of Interest

Topics of interest include but are not limited to the following:

• Open-source tools and frameworks for large-scale experimentation in edge systems

• Multi-cluster, multi-domain environments and applications

• Use-cases and applications within edge-cloud environments

• IoT/edge-to-cloud for smart cities

• Industrial IoT applications

• Automated configuration and cognitive edge-cloud management

• Anomaly Detection for edge-cloud

• Privacy and context-aware in decentralized learning

• Network communication and optimization across resource-restricted edge environments

• ML/AI-enabled tools and mechanisms for resource allocation, anomaly detection in resource constraint environments

• Security and trustworthiness in edge cloud

• Dynamic scheduling and workload migration 

• Joint orchestration of cross-layer data (network, compute, data resources)

• Energy efficiency aspects in edge-cloud continuum

• Digital twins for vehicular cloud architectures

• Mobility in edge-cloud continuum