Cloud Computing and Cloud Service Orchestration

Dear Colleagues,

Cloud computing has emerged as a key technology in modern computing enabling on-demand access to scalable, flexible, and cost-efficient computing resources. Nevertheless, as cloud infrastructures and services continue to expand in scale and diversity, the difficulty of managing, orchestrating, and optimizing distributed resources increases. Cloud service orchestration is essential for the intelligent coordination, automation, and optimization of resources, workflows, and services across heterogeneous infrastructures. 

Emerging technologies such as artificial intelligence, machine learning, and intent-based networking further expand orchestration possibilities, allowing intelligent and adaptive management of cloud resources.

Despite significant progress, several challenges remain. Efficient orchestration must handle resource heterogeneity, policy conflicts, latency-sensitive workloads, and energy-aware scheduling, while maintaining security, privacy, and compliance. Furthermore, the rise of containerization, serverless computing, and microservices architectures has increased the need for more advanced orchestration approaches capable of managing cloud-native applications seamlessly at scale.

In this context, this Special Issue invites original research papers, case studies, and comprehensive reviews addressing the latest advances, theoretical foundations, and experimental evaluations in cloud computing and cloud service orchestration. Contributions exploring automation, optimization, sustainability, and intelligent management of cloud services are particularly welcome.

Topics of Interest include, but are not limited to, the following:

• Orchestration frameworks and architectures for multi-cloud and hybrid environments;
• Workflow automation and adaptive service composition in the cloud;
• AI/ML-driven cloud orchestration and predictive resource management;
• Container orchestration and microservice deployment strategies; 
• Serverless and function-as-a-service orchestration;
• Resource allocation, scheduling, and autoscaling in large-scale cloud infrastructures;
• Energy efficiency and carbon-aware orchestration in cloud data centers;
• Security, privacy, and trust management in orchestration frameworks;
• SLA management, QoS/QoE optimization, and resilience mechanisms;
• Policy-based orchestration and intent-driven cloud management;
• Distributed orchestration across cloud, edge, and fog environments;
• Monitoring, observability, and fault tolerance in cloud orchestration systems;
• Orchestration for big data, AI/ML, and IoT applications;
• Cloud orchestration standards, benchmarks, and testbeds.

Dr. Efthimia Mavridou
Dr. Eleni Vrochidou
Guest Editors

Manuscript Submission Information

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