Journal of Internet Services and Applications最新文献_第5页

DOD-ETL: distributed on-demand ETL for near real-time business intelligence DOD-ETL：用于近乎实时商业智能的分布式按需ETL

IF 3.5

Journal of Internet Services and Applications Pub Date : 2019-07-15 DOI: 10.1186/s13174-019-0121-z

G. V. Machado, Ítalo F. S. Cunha, A. Pereira, Leonardo B. Oliveira

引用次数: 22

A participatory sensing framework to classify road surface quality 参与式路面质量分类感知框架

IF 3.5

Journal of Internet Services and Applications Pub Date : 2019-07-09 DOI: 10.1186/s13174-019-0111-1

Davidson E. Nunes, Vinicius F. S. Mota

引用次数: 12

An optimization-based approach for efficient network monitoring using in-band network telemetry 基于优化的带内网络遥测有效网络监控方法

IF 3.5

Journal of Internet Services and Applications Pub Date : 2019-06-25 DOI: 10.1186/s13174-019-0112-0

J. A. Marques, M. C. Luizelli, Roberto Irajá Tavares da Costa Filho, L. Gaspary

引用次数: 31

Towards business partnership recommendation using user opinion on Facebook 利用Facebook上的用户意见进行商业伙伴关系推荐

IF 3.5

Journal of Internet Services and Applications Pub Date : 2019-06-05 DOI: 10.1186/s13174-019-0110-2

D. P. Tsutsumi, A. T. Fenerich, Thiago H. Silva

引用次数: 5

A semantic-based discovery service for the Internet of Things 一种基于语义的物联网发现服务

IF 3.5

Journal of Internet Services and Applications Pub Date : 2019-05-15 DOI: 10.1186/s13174-019-0109-8

Porfírio Gomes, Everton Cavalcante, T. Batista, C. Taconet, D. Conan, S. Chabridon, Flávia Coimbra Delicato, Paulo F. Pires

引用次数: 21

Multi-objective routing aware of mixed IoT traffic for low-cost wireless Backhauls 低成本无线回程的混合物联网流量多目标路由

IF 3.5

Journal of Internet Services and Applications Pub Date : 2019-05-01 DOI: 10.1186/s13174-019-0108-9

Vinícius N. Medeiros, Bruno Silvestre, Vinicius C. M. Borges

引用次数: 8

DG2CEP: a near real-time on-line algorithm for detecting spatial clusters large data streams through complex event processing DG2CEP:一种通过复杂事件处理检测空间集群大数据流的近实时在线算法

IF 3.5

Journal of Internet Services and Applications Pub Date : 2019-04-15 DOI: 10.1186/s13174-019-0107-x

Marcos Roriz Junior, Bruno Olivieri, Markus Endler

{"title":"DG2CEP: a near real-time on-line algorithm for detecting spatial clusters large data streams through complex event processing","authors":"Marcos Roriz Junior, Bruno Olivieri, Markus Endler","doi":"10.1186/s13174-019-0107-x","DOIUrl":"https://doi.org/10.1186/s13174-019-0107-x","url":null,"abstract":"Spatial concentrations (or spatial clusters) of moving objects, such as vehicles and humans, is a mobility pattern that is relevant to many applications. Fast detection of this pattern and its evolution, e.g., if the cluster is shrinking or growing, is useful in numerous scenarios, such as detecting the formation of traffic jams or detecting a fast dispersion of people in a music concert. On-Line detection of this pattern is a challenging task because it requires algorithms that are capable of continuously and efficiently processing the high volume of position updates in a timely manner. Currently, the majority of approaches for spatial cluster detection operate in batch mode, where moving objects location updates are recorded during time periods of a certain length and then batch-processed by an external routine, thus delaying the result of the cluster detection until the end of the time period. Further, they extensively use spatial data structures and operators, which can be troublesome to maintain or parallelize in on-line scenarios. To address these issues, in this paper we propose DG2CEP, a parallel algorithm that combines the well-known density-based clustering algorithm DBSCAN with the data stream processing paradigm Complex Event Processing (CEP) to achieve continuous and timely detection of spatial clusters. Our experiments with real-world data streams indicate that DG2CEP is able to detect the formation and dispersion of clusters with small latency while having higher similarity to DBSCAN than batch-based approaches.","PeriodicalId":46467,"journal":{"name":"Journal of Internet Services and Applications","volume":"12 1","pages":"1-28"},"PeriodicalIF":3.5,"publicationDate":"2019-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138517519","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: 7

Managing to release early, often and on time in the OpenStack software ecosystem 在OpenStack软件生态系统中尽早、经常和按时发布

IF 3.5

Journal of Internet Services and Applications Pub Date : 2019-04-01 DOI: 10.1186/s13174-019-0105-z

J. Teixeira, Helena Karsten

引用次数: 10

An agile and effective network function virtualization infrastructure for the Internet of Things 面向物联网的敏捷、高效的网络功能虚拟化基础设施

IF 3.5

Journal of Internet Services and Applications Pub Date : 2019-03-15 DOI: 10.1186/s13174-019-0106-y

Diogo Menezes Ferrazani Mattos, Pedro Braconnot Velloso, Otto Carlos Muniz Bandeira Duarte

引用次数: 26

GARSAaaS: group activity recognition and situation analysis as a service GARSAaaS:群体活动识别和情境分析服务

IF 3.5

Journal of Internet Services and Applications Pub Date : 2019-03-01 DOI: 10.1186/s13174-019-0103-1

Amin B. Abkenar, Seng W. Loke, Arkady Zaslavsky, Wenny Rahayu

{"title":"GARSAaaS: group activity recognition and situation analysis as a service","authors":"Amin B. Abkenar, Seng W. Loke, Arkady Zaslavsky, Wenny Rahayu","doi":"10.1186/s13174-019-0103-1","DOIUrl":"https://doi.org/10.1186/s13174-019-0103-1","url":null,"abstract":"Human activity recognition using embedded mobile and embedded sensors is becoming increasingly important. Scaling up from individuals to groups, that is, group activity recognition, has attracted significant attention recently. This paper proposes a model and specification language for group activities called GroupSense-L, and a novel architecture called GARSAaaS (GARSA-as-a-Service) to provide services for mobile Group Activity Recognition and Situation Analysis (or GARSA) applications. We implemented and evaluated GARSAaaS which is an extension of a framework called GroupSense (Abkenar et al., 2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA), 2016) where sensor data, collected using smartphone sensors, smartwatch sensors and embedded sensors in things, are aggregated via a protocol for these different devices to share information, as required for GARSA. We illustrate our approach via a scenario for providing services for bush walking leaders and bush walkers in a bushwalking group activity. We demonstrate the feasibility of our model and expressiveness of our proposed model.","PeriodicalId":46467,"journal":{"name":"Journal of Internet Services and Applications","volume":"33 1","pages":"1-20"},"PeriodicalIF":3.5,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138517518","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: 3