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一种GraphQL查询语句的响应类型复杂度预测方法
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作者 冯涛 张峰 《计算机与数字工程》 2026年第1期197-203,共7页
GraphQL是一种新型的API请求规范,客户端可以通过GraphQL查询语句灵活准确地获取所需数据。响应类型复杂度反映了GraphQL查询的响应结果数据量的大小,GraphQL查询语句的响应类型复杂度过高会影响API服务提供的质量。因此,在GraphQL查询... GraphQL是一种新型的API请求规范,客户端可以通过GraphQL查询语句灵活准确地获取所需数据。响应类型复杂度反映了GraphQL查询的响应结果数据量的大小,GraphQL查询语句的响应类型复杂度过高会影响API服务提供的质量。因此,在GraphQL查询语句执行之前预测查询的响应类型复杂度十分必要。论文提出了一种基于最大、最小查询类型复杂度的GraphQL响应类型复杂度预测方法,将查询语句的最大、最小查询类型复杂度作为两个特征,通过梯度提升回归算法训练得到预测GraphQL响应类型复杂度的模型,在保证预测准确率的同时提高了模型训练的效率。通过在GitHub和Yelp公开GraphQL API数据集上的实验表明,与现有的基于机器学习的预测方法相比,该方法准确率相当,但特征提取速度快44.5倍,模型训练速度快35.2倍。 展开更多
关键词 graphql API请求 类型复杂度 机器学习 预测
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Connecting supplier and DoD blockchains for transparent part tracking 被引量:1
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作者 Francis Asuncion Adam Brinckman +25 位作者 Dwayne Cole Jeffrey Curtis Matt Davis Timothy Dunlevy Calvin Farmer Andrew Harrison Daniel P.Johnson Joshua Joyce Chris Klubertanz Jonathan Lane John Martin Jarek Nabrzyski Joel Neidig Deysi Olivares Gregory Robinson Gabriel Rodriguez Chris Root Karen Rowand Al Salour Jeff Score David Scott Ian Taylor Chandler Thompson Huy Truong Xiqun Wang Dale Warren 《Blockchain(Research and Applications)》 2021年第3期17-30,共14页
Blockchains have been around for more than ten years,and since 2015,a plethora of systems have been launched to target more flexible use cases.More recently,several enterprise blockchain systems,such as Consensys Quor... Blockchains have been around for more than ten years,and since 2015,a plethora of systems have been launched to target more flexible use cases.More recently,several enterprise blockchain systems,such as Consensys Quorum and Hyperledger Fabric,have been launched to make blockchain simpler to apply in complex organizational configurations.In this paper,we identify a specific Department of Defense use case,extrapolate requirements,and perform a thorough assessment of the different layers of the blockchain stack to identify the existing state of the art and undertake a gap analysis of the technology for this context.We describe a platform that meets many of these challenges and show how we architected,designed,and implemented a solution for this use case for deployment at NAVAIR.This solution connects transactions from two separate blockchain systems,Consensys Quorum and Hyperledger Fabric,by using a graph-based approach that preserves privacy while enabling full transparency across the military and supplier networks. 展开更多
关键词 Blockchain Smart contracts Supply chain Department of defense(DoD) graphql Enterprise blockchain systems
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