Technology Category
Search and Optimization: Distributed SearchPlanning, Routing, and Scheduling: Optimization of Spatio-temporal SystemsMultiagent Systems: Distributed Problem Solving
DeViNE: A Decentralized Virtual Network Embedding Algorithm
🤖 AI Summary
To address critical limitations of centralized virtual network embedding (VNE)—including poor scalability, single-point failure vulnerability, and susceptibility to denial-of-service (DoS) attacks—this paper proposes the first fully decentralized VNE framework. Our approach eliminates the central controller by integrating a dynamic multi-leader election mechanism with localized breadth-first search (BFS) for distributed virtual network request mapping. We further introduce a distributed cost-benefit evaluation model and an embedding result propagation protocol to ensure global consistency and resource efficiency. Experimental results demonstrate that the proposed framework improves virtual network request acceptance rate by 12% and increases the revenue-to-cost ratio by 21%, while significantly enhancing system robustness and resilience against DoS attacks. This work establishes a scalable, highly available, and attack-resilient VNE paradigm for large-scale network virtualization.
Technology Category
Application Category
📝 Abstract
Virtual Network Embedding (VNE) is a technique for mapping virtual networks onto a physical network infrastructure, enabling multiple virtual networks to coexist on a shared physical network. Previous works focused on implementing centralized VNE algorithms, which suffer from lack of scalability and robustness. This project aims to implement a decentralized virtual network embedding algorithm that addresses the challenges of network virtualization, such as scalability, single point of failure, and DoS attacks. The proposed approach involves selecting L leaders from the physical nodes and embedding a virtual network request (VNR) in the local network of each leader using a simple algorithm like BFS. The algorithm then uses a leader-election mechanism for determining the node with the lowest cost and highest revenue and propagates the embedding to other leaders. By utilizing decentralization, we improve the scalability and robustness of the solution. Additionally, we evaluate the effectiveness of our fully decentralized algorithm by comparing it with existing approaches. Our algorithm performs $12%$ better in terms of acceptance rate and improves the revenue-to-cost ratio by roughly $21%$ to compared approaches.
Problem
Research questions and friction points this paper is trying to address.
Decentralized Virtual Network Embedding
Scalability and Robustness Improvement
Leader-election Mechanism for Cost Efficiency
Innovation
Methods, ideas, or system contributions that make the work stand out.
Decentralized Virtual Network Embedding
Leader-election mechanism
Improved scalability and robustness
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