Pub Date : 2019-07-15DOI: 10.1186/s13174-019-0121-z
G. V. Machado, Ítalo F. S. Cunha, A. Pereira, Leonardo B. Oliveira
{"title":"DOD-ETL: distributed on-demand ETL for near real-time business intelligence","authors":"G. V. Machado, Ítalo F. S. Cunha, A. Pereira, Leonardo B. Oliveira","doi":"10.1186/s13174-019-0121-z","DOIUrl":"https://doi.org/10.1186/s13174-019-0121-z","url":null,"abstract":"","PeriodicalId":46467,"journal":{"name":"Journal of Internet Services and Applications","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13174-019-0121-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46204383","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}
Pub Date : 2019-07-09DOI: 10.1186/s13174-019-0111-1
Davidson E. Nunes, Vinicius F. S. Mota
Participatory sensing networks rely on gathering personal data from mobile devices to infer global knowledge. Participatory sensing has been used for real-time traffic monitoring, where the global traffic conditions are based on information provided by individual devices. However, fewer initiatives address asphalt quality conditions, which is an essential aspect of the route decision process. This article proposes Streetcheck, a framework to classify road surface quality through participatory sensing. Streetcheck gathers mobile devices’ sensors such as Global Positioning System (GPS) and accelerometer, as well as users’ ratings on road surface quality. A classification system aggregates the data, filters them, and extracts a set of features as input for supervised learning algorithms. Twenty volunteers carried out tests using Streetcheck on 1,200 km of urban roads of Minas Gerais (Brazil). Streetcheck reached up to 90.64% of accuracy on classifying road surface quality.
{"title":"A participatory sensing framework to classify road surface quality","authors":"Davidson E. Nunes, Vinicius F. S. Mota","doi":"10.1186/s13174-019-0111-1","DOIUrl":"https://doi.org/10.1186/s13174-019-0111-1","url":null,"abstract":"Participatory sensing networks rely on gathering personal data from mobile devices to infer global knowledge. Participatory sensing has been used for real-time traffic monitoring, where the global traffic conditions are based on information provided by individual devices. However, fewer initiatives address asphalt quality conditions, which is an essential aspect of the route decision process. This article proposes Streetcheck, a framework to classify road surface quality through participatory sensing. Streetcheck gathers mobile devices’ sensors such as Global Positioning System (GPS) and accelerometer, as well as users’ ratings on road surface quality. A classification system aggregates the data, filters them, and extracts a set of features as input for supervised learning algorithms. Twenty volunteers carried out tests using Streetcheck on 1,200 km of urban roads of Minas Gerais (Brazil). Streetcheck reached up to 90.64% of accuracy on classifying road surface quality.","PeriodicalId":46467,"journal":{"name":"Journal of Internet Services and Applications","volume":"60 1","pages":"1-16"},"PeriodicalIF":3.5,"publicationDate":"2019-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138517523","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}
Pub Date : 2019-06-25DOI: 10.1186/s13174-019-0112-0
J. A. Marques, M. C. Luizelli, Roberto Irajá Tavares da Costa Filho, L. Gaspary
{"title":"An optimization-based approach for efficient network monitoring using in-band network telemetry","authors":"J. A. Marques, M. C. Luizelli, Roberto Irajá Tavares da Costa Filho, L. Gaspary","doi":"10.1186/s13174-019-0112-0","DOIUrl":"https://doi.org/10.1186/s13174-019-0112-0","url":null,"abstract":"","PeriodicalId":46467,"journal":{"name":"Journal of Internet Services and Applications","volume":"10 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2019-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13174-019-0112-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65834109","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}
Pub Date : 2019-06-05DOI: 10.1186/s13174-019-0110-2
D. P. Tsutsumi, A. T. Fenerich, Thiago H. Silva
{"title":"Towards business partnership recommendation using user opinion on Facebook","authors":"D. P. Tsutsumi, A. T. Fenerich, Thiago H. Silva","doi":"10.1186/s13174-019-0110-2","DOIUrl":"https://doi.org/10.1186/s13174-019-0110-2","url":null,"abstract":"","PeriodicalId":46467,"journal":{"name":"Journal of Internet Services and Applications","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13174-019-0110-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42443255","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}
Pub Date : 2019-05-15DOI: 10.1186/s13174-019-0109-8
Porfírio Gomes, Everton Cavalcante, T. Batista, C. Taconet, D. Conan, S. Chabridon, Flávia Coimbra Delicato, Paulo F. Pires
{"title":"A semantic-based discovery service for the Internet of Things","authors":"Porfírio Gomes, Everton Cavalcante, T. Batista, C. Taconet, D. Conan, S. Chabridon, Flávia Coimbra Delicato, Paulo F. Pires","doi":"10.1186/s13174-019-0109-8","DOIUrl":"https://doi.org/10.1186/s13174-019-0109-8","url":null,"abstract":"","PeriodicalId":46467,"journal":{"name":"Journal of Internet Services and Applications","volume":"10 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2019-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13174-019-0109-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65834070","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}
Pub Date : 2019-05-01DOI: 10.1186/s13174-019-0108-9
Vinícius N. Medeiros, Bruno Silvestre, Vinicius C. M. Borges
{"title":"Multi-objective routing aware of mixed IoT traffic for low-cost wireless Backhauls","authors":"Vinícius N. Medeiros, Bruno Silvestre, Vinicius C. M. Borges","doi":"10.1186/s13174-019-0108-9","DOIUrl":"https://doi.org/10.1186/s13174-019-0108-9","url":null,"abstract":"","PeriodicalId":46467,"journal":{"name":"Journal of Internet Services and Applications","volume":"10 1","pages":"1-18"},"PeriodicalIF":3.5,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13174-019-0108-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49411171","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}
Pub Date : 2019-04-15DOI: 10.1186/s13174-019-0107-x
Marcos Roriz Junior, Bruno Olivieri, Markus Endler
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.
{"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}
Pub Date : 2019-04-01DOI: 10.1186/s13174-019-0105-z
J. Teixeira, Helena Karsten
{"title":"Managing to release early, often and on time in the OpenStack software ecosystem","authors":"J. Teixeira, Helena Karsten","doi":"10.1186/s13174-019-0105-z","DOIUrl":"https://doi.org/10.1186/s13174-019-0105-z","url":null,"abstract":"","PeriodicalId":46467,"journal":{"name":"Journal of Internet Services and Applications","volume":"10 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13174-019-0105-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65834012","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}
Pub Date : 2019-03-15DOI: 10.1186/s13174-019-0106-y
Diogo Menezes Ferrazani Mattos, Pedro Braconnot Velloso, Otto Carlos Muniz Bandeira Duarte
The processing and power-consumption constraints of the Internet of Things devices hinder them to offer more complex network services than the simple data transmission in smart city scenarios. The lack of complex services, such as security and quality of service, can even foster disasters in urban centers. In this paper, we propose the integration of complex network services from the IoT devices till a cloud environment through an agile and effective network function virtualization infrastructure of isolated IoT domains. Therefore, our proposal develops a simple gateway access node that virtualizes the domains to which the devices connect. A prototype for services of security and quality of service has been implemented and its evaluation shows that virtualization of the access node does not impact the performance of virtual network functions. The results also show that the proposal provides security for IoT devices, identifying malicious traffic with 99.8% accuracy, avoiding denial of essential services, and ensuring the quality of service.
{"title":"An agile and effective network function virtualization infrastructure for the Internet of Things","authors":"Diogo Menezes Ferrazani Mattos, Pedro Braconnot Velloso, Otto Carlos Muniz Bandeira Duarte","doi":"10.1186/s13174-019-0106-y","DOIUrl":"https://doi.org/10.1186/s13174-019-0106-y","url":null,"abstract":"The processing and power-consumption constraints of the Internet of Things devices hinder them to offer more complex network services than the simple data transmission in smart city scenarios. The lack of complex services, such as security and quality of service, can even foster disasters in urban centers. In this paper, we propose the integration of complex network services from the IoT devices till a cloud environment through an agile and effective network function virtualization infrastructure of isolated IoT domains. Therefore, our proposal develops a simple gateway access node that virtualizes the domains to which the devices connect. A prototype for services of security and quality of service has been implemented and its evaluation shows that virtualization of the access node does not impact the performance of virtual network functions. The results also show that the proposal provides security for IoT devices, identifying malicious traffic with 99.8% accuracy, avoiding denial of essential services, and ensuring the quality of service.","PeriodicalId":46467,"journal":{"name":"Journal of Internet Services and Applications","volume":"12 1","pages":"1-12"},"PeriodicalIF":3.5,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138517545","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}
Pub Date : 2019-03-01DOI: 10.1186/s13174-019-0103-1
Amin B. Abkenar, Seng W. Loke, Arkady Zaslavsky, Wenny Rahayu
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.
{"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}
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