DPCN: Towards Deadline-aware Payment Channel Networks
Wenhui Wang, Ke Mu, Xuetao Wei

TL;DR
This paper introduces DPCN, a framework for deadline-aware payment channel networks that improves transaction success rates and meets deadline requirements by dynamically scheduling and splitting transactions based on deadlines.
Contribution
The paper presents a systematic framework DPCN that incorporates deadline-aware transaction splitting, scheduling, and congestion avoidance to enhance deadline-sensitive payment network performance.
Findings
DPCN achieves higher transaction success ratios compared to existing methods.
DPCN effectively prioritizes near-deadline transactions.
Experiments demonstrate DPCN's ability to meet diverse transaction deadlines.
Abstract
Payment channel is a class of techniques designed to solve the scalability problem of blockchain. By establishing channels off the blockchain to form payment channel networks (PCNs), users can make instant payments without interacting with the blockchain, avoiding the problems of long transaction consensus delays and high transaction fees. Recently, the optimization of PCNs has mainly focused on improving the network throughput via multi-path routing. However, the transaction's atomicity comes at a non-trivial cost for transaction completion latency that affects user experience in deadline-sensitive applications of PCNs. In this paper, we propose a new and systematic framework DPCN to consider the deadlines of transactions for payment channel networks while improving the success ratio of transactions. DPCN is enabled via a synergy of three components: (1) deadline-based dynamic…
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Taxonomy
TopicsBlockchain Technology Applications and Security · Cognitive Functions and Memory · Caching and Content Delivery
