2019 IEEE 12th Conference on Service-Oriented Computing and Applications (SOCA)最新文献_第3页

User Interaction with a Technology Evolution Model to Select Most Viable Enterprise Information Systems 用户交互与技术演化模型选择最可行的企业信息系统

2019 IEEE 12th Conference on Service-Oriented Computing and Applications (SOCA) Pub Date : 2019-11-01 DOI: 10.1109/SOCA.2019.00030

A. Skulimowski, Inez Badecka

{"title":"User Interaction with a Technology Evolution Model to Select Most Viable Enterprise Information Systems","authors":"A. Skulimowski, Inez Badecka","doi":"10.1109/SOCA.2019.00030","DOIUrl":"https://doi.org/10.1109/SOCA.2019.00030","url":null,"abstract":"One of alternative ways to achieve a competitive advantage by an enterprise in the ICT area is to select the most prospective information system (IS) as a seed technology. The latter is defined as a first technology from a given area implemented in an enterprise, that determines or strongly influences the choice of further technologies from the same area. Seed ICT selection is particularly relevant for enterprises whose core business activity relies on online service provision. In this paper we present a user-requirement-based interaction scheme of an application that models the evolution of enterprise ISs, taking into account the production patterns of software releases, the functionalities offered, the users' community growth trends, and other factors. The evolution is modeled by hybrid discrete-time/discrete-event systems, and multi-models built with them. The technology choice is supported by multicriteria ranking algorithms that apply IS innovativeness forecasts. Moreover, this evolution model of enterprise IS can handle different uncertainties and cyber security issues. We present the use cases and scenarios, model management, and the knowledge base that stores time series, IS characteristics and forecasts. The use of this application is illustrated by a real-life example of three popular open-source CMSs. We conclude that an informed choice of the first IS and the corresponding enterprise architecture as a seed technology is particularly relevant for start-ups and SMEs. An extended variant of the above application may also provide decision support to developer teams seeking software evolution models to discover and apply the best-possible technology development and market strategies.","PeriodicalId":113517,"journal":{"name":"2019 IEEE 12th Conference on Service-Oriented Computing and Applications (SOCA)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131934043","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: 0

Service-Oriented Architecture for Intelligent Management with Data Analytics and Visualization 面向服务的数据分析和可视化智能管理体系结构

2019 IEEE 12th Conference on Service-Oriented Computing and Applications (SOCA) Pub Date : 2019-11-01 DOI: 10.1109/SOCA.2019.00018

Hsuan-Yu Lin, Yu-Hsuan Chiu, W. Liao, Ray-I Chang

引用次数: 4

Title Page III 第三页

2019 IEEE 12th Conference on Service-Oriented Computing and Applications (SOCA) Pub Date : 2019-11-01 DOI: 10.1109/soca.2019.00002

引用次数: 0

Implementation of a Personal Authentication System T-Time 一个个人认证系统的实现

2019 IEEE 12th Conference on Service-Oriented Computing and Applications (SOCA) Pub Date : 2019-11-01 DOI: 10.1109/SOCA.2019.00019

Gi-Chul Yang, H. Oh

引用次数: 0

Step-by-Step Guidelines for Making Smart Contract Smarter 让智能合约更智能的分步指南

2019 IEEE 12th Conference on Service-Oriented Computing and Applications (SOCA) Pub Date : 2019-11-01 DOI: 10.1109/SOCA.2019.00012

Ya-wen Jeng, Yung-Chen Hsieh, Ja-Ling Wu

引用次数: 3

DIMON: Distributed Monitoring System for Decentralized Edge Clouds in Guifi.net 戴蒙:贵网分布式边缘云的分布式监控系统

2019 IEEE 12th Conference on Service-Oriented Computing and Applications (SOCA) Pub Date : 2019-11-01 DOI: 10.1109/SOCA.2019.00009

R. P. Centelles, Mennan Selimi, Felix Freitag, L. Navarro

{"title":"DIMON: Distributed Monitoring System for Decentralized Edge Clouds in Guifi.net","authors":"R. P. Centelles, Mennan Selimi, Felix Freitag, L. Navarro","doi":"10.1109/SOCA.2019.00009","DOIUrl":"https://doi.org/10.1109/SOCA.2019.00009","url":null,"abstract":"Community-built telecommunication networks such as Guifi.net demonstrate how end users can actively collaborate in the self-provision of network services, for instance by operating a self-organized distributed monitoring system. Network monitoring is performed by many small servers at the users' premises but data are only accessible via a centralized interface. Besides, due to network partitions and churn of the monitoring servers, failures in the monitoring system are frequent, leaving parts of the network unmonitored. Distributed databases are a promising solution for data replication under network partition condition, but they suffer from a trade-off between data consistency and availability. Furthermore, these databases are used in data centers with abundant computing resources, not in light edge networks. In this work we present DIMON, a reliable edge-based, eventually-consistent monitoring system that leverages CRDT-based data structures implemented in AntidoteDB. Conflict-free replicated data types (CRDTs) are able to converge to a consistent state in environments with network partitions as those found in edge networks. Our results give insights on the load of AntidoteDB on edge devices under different scenarios of read and write operations. The experiments carried out in a production network with a real system implemented contribute to the research community's knowledge about the available technologies for a consistent replicated data storage layer to support edge computing clouds.","PeriodicalId":113517,"journal":{"name":"2019 IEEE 12th Conference on Service-Oriented Computing and Applications (SOCA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127599331","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: 5

Serving Machine Learning Workloads in Resource Constrained Environments: a Serverless Deployment Example 在资源受限环境中服务机器学习工作负载:无服务器部署示例

2019 IEEE 12th Conference on Service-Oriented Computing and Applications (SOCA) Pub Date : 2019-09-08 DOI: 10.1109/SOCA.2019.00016

Angelos Christidis, Roy Davies, S. Moschoyiannis

{"title":"Serving Machine Learning Workloads in Resource Constrained Environments: a Serverless Deployment Example","authors":"Angelos Christidis, Roy Davies, S. Moschoyiannis","doi":"10.1109/SOCA.2019.00016","DOIUrl":"https://doi.org/10.1109/SOCA.2019.00016","url":null,"abstract":"Deployed AI platforms typically ship with bulky system architectures which present bottlenecks and a high risk of failure. A serverless deployment can mitigate these factors and provide a cost-effective, automatically scalable (up or down) and elastic real-time on-demand AI solution. However, deploying high complexity production workloads into serverless environments is far from trivial, e.g., due to factors such as minimal allowance for physical codebase size, low amount of runtime memory, lack of GPU support and a maximum runtime before termination via timeout. In this paper we propose a set of optimization techniques and show how these transform a codebase which was previously incompatible with a serverless deployment into one that can be successfully deployed in a serverless environment; without compromising capability or performance. The techniques are illustrated via worked examples that have been deployed live on rail data and realtime predictions on train movements on the UK rail network. The similarities of a serverless environment to other resource constrained environments (IoT, Mobile) means the techniques can be applied to a range of use cases.","PeriodicalId":113517,"journal":{"name":"2019 IEEE 12th Conference on Service-Oriented Computing and Applications (SOCA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115687886","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: 13

Real-Time Proof of Violation with Adaptive Huffman Coding Hash Tree for Cloud Storage Service 基于自适应霍夫曼编码哈希树的云存储服务违规实时证明

2019 IEEE 12th Conference on Service-Oriented Computing and Applications (SOCA) Pub Date : 2018-01-23 DOI: 10.1109/SOCA.2019.00029

Jehn-Ruey Jiang, Wei-Sheng Chung

引用次数: 0