ID	原文	译文
19395	仿真分析表明，所提算法能有效提升网络能效，降低IP组播带宽阻塞率。	Simulation analysisshows that the proposed algorithm can effectively improve the network energy efficiency and reduce thebandwidth blocking probability of IP multicast.
19396	线上合同签署在电子商务中日益普及，在互不信任的签署方之间签署一份合同并不是一件简单的事情，各方就合同签署问题提出过许多合同签署协议。	Online contract signing is becoming more and more popular in e-commerce. It is not easy to sign acontract between two parties who do not trust each other.
19397	其中较多的协议是带有第三方参与的，但是在效率方面并不占优势，且易出现安全问题。	Many of these protocols involve the participation of third parties, but they are not advantageous in efficiency and prone to security problems.
19398	现有借助区块链技术取代第三方参与的合同签署协议中，区块链的公开验证对不管是签署方还是待签署合同的敏感信息又发起了挑战。	Currently, contract signing agreements with third-party participation are replaced by block chain technology, but the public verification of block chain challenges the sensitive information of both the signer and the contract to be signed.
19399	且大多协议针对于双方合同签署，随着签署方数量的增加，协议的通信成本和复杂度都在急剧增加。	And most of the agreements are for the signing of contracts between the two parties. With the increase of the number of signatories, the communication cost and complexity of the agreements increase sharply.
19400	该文结合现有协议，提出一个高效的多方合同签署协议，协议中通过基于无证书的高效聚合签名方案，用于提高区块链下签署方签名验证效率，在区块链上仅公开签署方的临时密钥以减少系统开销。	Combined with the existing protocols, this paper proposes an efficient multi-party contract signing protocol. In the protocol, an efficient aggregation signature scheme based on no certificate is used to improve the signature verification efficiency of the signer under the block chain, and only the temporary key of the signer is disclosed on the block chain to reduce the system overhead.
19401	该协议满足正确性、安全性、公平性、私密性以及高效性。	The protocol satisfies the requirements of correctness, security, fairness, privacy and high efficiency.
19402	通过移动边缘计算下移云端的应用功能和处理能力支撑计算密集或时延敏感任务的执行成为当前的发展趋势。	To support the execution of computation-intensive, delay-sensitive computing task by moving downthe computing and processing capability in mobile edge computing becomes the current trend.
19403	但面对众多移动终端用户时，如何有效利用计算资源有限的边缘节点来保障终端用户服务质量(QoS)成为关键问题。	However, whenserving a large number of mobile users, how to use effectively the edge nodes with limited computing resourcesto ensure Quality of service (QoS) of end-user has become a key issue.
19404	为此，该文融合边缘云与远端云构建了一种分层的边缘云计算架构，以此架构为基础，以最小化移动设备能耗和任务执行时间为目标，将问题形式化描述为资源约束下的最小化能耗和时延加权和的凸优化问题，并提出基于乘子法的计算卸载及资源分配机制解决该问题。	To solve this problem, the edge cloudand remote cloud are combined to build a layered edge cloud computing architecture. Based on thisarchitecture, with the goal of minimizing mobile device energy consumption and task execution time, theproblem which is proved to be convex is formulated to minimize the weight sum of energy and delay. Acomputation offloading and resource allocation mechanism based on multiplier method is proposed.