Proceedings of the 19th International Middleware Conference Industry最新文献

Resource Fairness and Prioritization of Transactions in Permissioned Blockchain Systems (Industry Track) 许可区块链系统中的资源公平和事务优先级(行业专题)

Proceedings of the 19th International Middleware Conference Industry Pub Date : 2018-12-10 DOI: 10.1145/3284028.3284035

Seep Goel, Abhishek Singh, R. Garg, Mudit Verma, P. Jayachandran

{"title":"Resource Fairness and Prioritization of Transactions in Permissioned Blockchain Systems (Industry Track)","authors":"Seep Goel, Abhishek Singh, R. Garg, Mudit Verma, P. Jayachandran","doi":"10.1145/3284028.3284035","DOIUrl":"https://doi.org/10.1145/3284028.3284035","url":null,"abstract":"In this paper, we consider the problem of fair scheduling of transactions of multiple types that are submitted to a permissioned blockchain system. Permissioned blockchains are being increasingly used for enterprise applications and by design are heterogeneous in nature, with different peer organizations performing different business functions. Transactions execute different smart contract operations that may have widely varying business importance. In such a setting, we argue that the typically adopted First-In-First-Out ordering mechanism for transactions in a blockchain system, which is a performance-limited resource, is inefficient and unfair. We propose a weighted fair queueing strategy for ordering transactions that can support differentiated quality of service for submitted transactions on the blockchain. The main challenge we address in this paper is to support fair allocation and differentiation in a decentralized manner, as there is no single authority that can facilitate this as in traditional systems. We demonstrate such a fair scheduling strategy and support multiple transaction types with different priorities on Hyperledger Fabric.","PeriodicalId":285212,"journal":{"name":"Proceedings of the 19th International Middleware Conference Industry","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116003561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

A High Performance, Scalable DNS Service for Very Large Scale Container Cloud Platforms 用于超大规模容器云平台的高性能、可扩展DNS服务

Proceedings of the 19th International Middleware Conference Industry Pub Date : 2018-12-10 DOI: 10.1145/3284028.3284034

Haifeng Liu, Shugang Chen, Yongcheng Bao, Wanli Yang, Yuan Chen, Wei Ding, Huasong Shan

引用次数: 1

Exploratory Study of Privacy Preserving Fraud Detection 隐私保护欺诈检测的探索性研究

Proceedings of the 19th International Middleware Conference Industry Pub Date : 2018-12-10 DOI: 10.1145/3284028.3284032

Rémi Canillas, Rania Talbi, S. Bouchenak, Omar Hasan, L. Brunie, Laurent Sarrat

{"title":"Exploratory Study of Privacy Preserving Fraud Detection","authors":"Rémi Canillas, Rania Talbi, S. Bouchenak, Omar Hasan, L. Brunie, Laurent Sarrat","doi":"10.1145/3284028.3284032","DOIUrl":"https://doi.org/10.1145/3284028.3284032","url":null,"abstract":"With the wide adoption of the Internet, digital transactions surge exponentially and so do the impersonation fraud. While machine learning techniques show strong promise to be the building block for digital fraud detection systems, clients may be reluctant to share the raw data with such systems due to privacy concerns. The emerging privacy preserving machine learning techniques that employ homomorphic encryption to resolve this conundrum unfortunately increases the computational overhead of detection. In this paper, we present a first-of-a-kind empirical performance study of a private fraud detection system developed at SiS ID, a French business security platform. A privacy-preserving decision tree which can classify transactions into four risk classes (safe, moderately risky, very risky and fraud) is trained on more than 160000 real world transactions, and we quantitatively compare the classification accuracy, latency and network bandwidth under various combinations of encryption parameters and learning hyper-parameters, in order to explore the impact of the configuration on the performances. Our results show that the computation and communication overhead of processing encrypted data increases by an order of magnitude of 5, and highly depends on the configuration of the encryption key and the number of nodes in the decision tree.","PeriodicalId":285212,"journal":{"name":"Proceedings of the 19th International Middleware Conference Industry","volume":"8 23","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120935887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

DéjàVu 感觉

Proceedings of the 19th International Middleware Conference Industry Pub Date : 2018-12-10 DOI: 10.1145/3284028.3284031

S. Nadgowda, C. Isci, M. Bal

{"title":"DéjàVu","authors":"S. Nadgowda, C. Isci, M. Bal","doi":"10.1145/3284028.3284031","DOIUrl":"https://doi.org/10.1145/3284028.3284031","url":null,"abstract":"Emerging security solutions for cloud commonly operate in two phases, data collection and analytics. Data collection phase provides visibility into cloud resources (images, containers, VMs, etc.) and analytics derives insights built on data. Analytics phase is commonly decoupled from data collection and cloud resources as a separate, scalable pipeline. This enables cloud-scale operation via separation of concerns and overheads. Analytics focus on deriving high-value insights from data, and data collection focuses on efficient and minimally-intrusive inspection and introspection techniques. However, this model breaks traditional security solutions, such as endpoint managers, malware and compliance checkers, that are designed to run locally inside the systems they are securing. The common cloud strategy to address this problem has been to rewrite existing solutions to \"work from data\" instead of \"working inside the system\". This requires huge amount of resources and effort, and has fueled a slew of new \"cloud-native security\" solutions in the field. In this paper we approach this problem from a different angle. Instead of rewriting security solutions to work from data, we explore how to reuse existing security solutions as black-box analytics in the cloud. We present DéjàVu, a framework that makes data accessible to traditional software by mimicking a system veneer over the data. We achieve this by re-building a standard native POSIX system interface over the data. We enable traditional security applications to run unmodified in a black-box fashion. We validate our framework with state of the art third party security solutions and demonstrate that they can be operated with modest overhead.","PeriodicalId":285212,"journal":{"name":"Proceedings of the 19th International Middleware Conference Industry","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116853940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

The Design and Implementation of a Real Time Visual Search System on JD E-commerce Platform 京东电子商务平台实时视觉搜索系统的设计与实现

Proceedings of the 19th International Middleware Conference Industry Pub Date : 2018-12-10 DOI: 10.1145/3284028.3284030

Jie Li, Hai-Fei Liu, C. Gui, Jianyu Chen, Zhenyuan Ni, Ning Wang, Yuan Chen

引用次数: 21

NBWGuard

Proceedings of the 19th International Middleware Conference Industry Pub Date : 2018-12-10 DOI: 10.1145/3284028.3284033

Cong Xu, K. Rajamani, Wesley Felter

{"title":"NBWGuard","authors":"Cong Xu, K. Rajamani, Wesley Felter","doi":"10.1145/3284028.3284033","DOIUrl":"https://doi.org/10.1145/3284028.3284033","url":null,"abstract":"Kubernetes is a very popular and fast-growing container orchestration platform that automates the process of deploying and managing multi-container applications at scale. Users can specify required and maximum values of resources they need for their containers and Kubernetes realizes them by interfacing with lower levels (container runtime which in turn can use OS capabilities) of the stack for enforcing them. Kubernetes supports differentiated QoS classes - Guaranteed, Burstable, and Best-effort - in order of decreasing priority based on the resource size specifications for CPU and memory capacity. This allows many applications to obtain a desired level of QoS (performance isolation and throughput) when CPU or memory capacity management can provide them. However, when workloads may be critically dependent for their performance on another resource, namely network bandwidth, Kubernetes has no means to meet their QoS needs. Networking between pods in Kubernetes is supported with plug-ins and the network resource is not managed directly. In this work, we propose NBWGuard, a design for network bandwidth management and evaluate its implementation. NBWGuard lets Kubernetes manage network bandwidth as a resource (like CPU or memory capacity) while still using plug-ins for realizing the network specification desired by users. Consistent with Kubernetes approach to application QoS based on resource allocation NBWGuard also supports the 3 QoS classes: Guaranteed, Burstable, and Best-effort with respect to network bandwidth. NBWGuard is evaluated with iperf benchmark on real cloud environment, and the evaluation results demonstrate that it is able to provide network bandwidth isolation without impact on overall throughput.","PeriodicalId":285212,"journal":{"name":"Proceedings of the 19th International Middleware Conference Industry","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127169841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 21

Serverless Data Analytics in the IBM Cloud IBM云中的无服务器数据分析

Proceedings of the 19th International Middleware Conference Industry Pub Date : 2018-12-10 DOI: 10.1145/3284028.3284029

Josep Sampé, G. Vernik, Marc Sánchez Artigas, P. López

引用次数: 68

BcWAN

Proceedings of the 19th International Middleware Conference Industry Pub Date : 2018-12-10 DOI: 10.1145/3284028.3284036

Mehdi Bezahaf, Gaëtan Cathelain, Tony Ducrocq

引用次数: 1