Optimizing Resource Provisioning and Scheduling in Distributed Systems
A special issue of Computation (ISSN 2079-3197). This special issue belongs to the section "Computational Engineering".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 45
Special Issue Editor
Interests: intent-driven service management; Network function virtualisation (NFV) performance evaluation; cloud and edge computing reliability and fault tolerance; data centre energy efficiency and sustainability; resource provisioning and scheduling
Special Issue Information
Dear Colleagues,
Distributed systems, including Cloud and Edge computing, Internet of Things (IoT) ecosystem and large-scale data centers, form the backbone of today’s digital infrastructure. As these systems continue to grow in scale and complexity, efficient resource provisioning and scheduling have become critical challenges. Suboptimal allocation of computational, storage, or network resources often results in increased operational costs, energy inefficiency, service latency, and degraded quality of service (QoS). Therefore, intelligent resource management is critical to addressing these challenges and meeting the demands of next-generation applications—including real-time analytics, autonomous systems, and AI-driven services.
This Special Issue invites cutting-edge research addressing the multifaceted challenges of optimized resource provisioning and scheduling in distributed environments. Topics of interest include (but are not limited to):
- Dynamic and adaptive resource provisioning and allocation
- AI and machine learning-driven scheduling algorithms
- Energy-efficient resource management
- Reliable and Fault tolerant resource allocation and management
- Real-time and deadline sensitive scheduling
- Cost-performance optimization
- Security-aware resource provisioning and allocation
- Case studies demonstrating the practical implementations in industry and research
The goal of this issue is to bring the theoretical advancements and practical solutions together that improve the scalability, reliability, and sustainability of distributed systems. Contributions that explore the emerging technologies such as 5G/6G networks, quantum-distributed systems, and hybrid cloud-edge architectures are particularly encouraged.
Dr. Yogesh Sharma
Guest Editor
Manuscript Submission Information
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