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Cost and green aware workload migration on geo-distributed datacentres 地理分布式数据中心上的成本和环保工作负载迁移
Int. J. Inf. Technol. Manag. Pub Date : 2019-05-10 DOI: 10.1504/IJITM.2019.10021198
Jiacheng Jiang, Yingbo Wu, De Xiang, Keqin Yu, Tianhui Wang
{"title":"Cost and green aware workload migration on geo-distributed datacentres","authors":"Jiacheng Jiang, Yingbo Wu, De Xiang, Keqin Yu, Tianhui Wang","doi":"10.1504/IJITM.2019.10021198","DOIUrl":"https://doi.org/10.1504/IJITM.2019.10021198","url":null,"abstract":"With the development of the inter-datacentre (inter-DC) virtual machine migration technology, it is possible to reduce the cost of electricity and the environment by using the workload migration across the datacentre. This paper presents a solution - cost and green aware workload migration algorithm (CGWM) that utilising the difference of electricity prices, CO2 emissions and water consumption between different geographical locations to manage the workload. CGWM attempts to reduce electricity costs, carbon emissions and water consumption. When the three optimisation goals conflict, CGWM first to ensure the reduction of electricity cost, and then by adjusting the weight factor to make CGWM more biased to optimise the carbon dioxide or water consumption. Simulation results show CGWM can reduce electricity costs while controlling carbon dioxide emissions and water consumption.","PeriodicalId":340536,"journal":{"name":"Int. J. Inf. Technol. Manag.","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116603749","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
Needle in a haystack: an empirical study on mining tags from Flickr user comments 大海捞针:从Flickr用户评论中挖掘标签的实证研究
Int. J. Inf. Technol. Manag. Pub Date : 2019-05-10 DOI: 10.1504/IJITM.2019.10021183
Haijun Zhang, Jingxuan Li, Bin Luo, Yan Li
{"title":"Needle in a haystack: an empirical study on mining tags from Flickr user comments","authors":"Haijun Zhang, Jingxuan Li, Bin Luo, Yan Li","doi":"10.1504/IJITM.2019.10021183","DOIUrl":"https://doi.org/10.1504/IJITM.2019.10021183","url":null,"abstract":"In the Web2.0 era, user generated content has become the main source of information of many popular photo-sharing websites such as Flickr. In Flickr, many photos have very few or even no tags, because only the uploader can mark tags for a photo. Meanwhile, the user can deliver his/her comment on the photo, which he/she is browsing. Therefore, it is possible to recommend new tags or enrich the existing tag set based on user comments. The work of this paper contains two phases, i.e., the tag generation, and the ranking algorithm. In the phase of candidate tags generation, two methods are introduced relying on natural language processing (NLP) techniques, namely word-based and phrase-based. In ranking and recommending tags, we proposed an algorithm by jointly modelling the location information of candidate tags, statistical information of candidate tags and semantic similarity between candidate tags. Extensive experimental results demonstrate the effectiveness of our method.","PeriodicalId":340536,"journal":{"name":"Int. J. Inf. Technol. Manag.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129759159","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: 1
Study on image feature recognition algorithm and its application in public security management 图像特征识别算法及其在公安管理中的应用研究
Int. J. Inf. Technol. Manag. Pub Date : 2019-05-10 DOI: 10.1504/IJITM.2019.10021195
Xiaoyi Yang, Qian Wu, Xinmei Deng
{"title":"Study on image feature recognition algorithm and its application in public security management","authors":"Xiaoyi Yang, Qian Wu, Xinmei Deng","doi":"10.1504/IJITM.2019.10021195","DOIUrl":"https://doi.org/10.1504/IJITM.2019.10021195","url":null,"abstract":"Public security is the topic of common concern of the government and the common people. In order to solve the puzzle of image distortion, being complex in algorithm and being difficult to take into account of the overall structure and details of the image in the image recognition algorithm of public security management system, the paper presented a fusion algorithm of texture consistency measure based on bi-orthogonal wavelet transform. By means of the orthogonal wavelet transform, the wavelet transform is used to decompose the source image, and then the low frequency and high frequency wavelet coefficient matrix of the fused image is determined according to a certain proportion and texture measure, thus the fusion image is obtained. The experimental results show that the algorithm can not only distinguish the false edges of the image, but also enrich the details of the image and take into account the overall visual image, so it can better improve the recognition effect of the image in the public security management system.","PeriodicalId":340536,"journal":{"name":"Int. J. Inf. Technol. Manag.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124806846","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
Voice transmission through WiFi 通过WiFi进行语音传输
Int. J. Inf. Technol. Manag. Pub Date : 2019-05-10 DOI: 10.1504/IJITM.2019.10021203
S. Goel, Vipul Garg, Deepak Garg, Manshiv Kathait
{"title":"Voice transmission through WiFi","authors":"S. Goel, Vipul Garg, Deepak Garg, Manshiv Kathait","doi":"10.1504/IJITM.2019.10021203","DOIUrl":"https://doi.org/10.1504/IJITM.2019.10021203","url":null,"abstract":"In an era of digital communication, one of the key requirements is of free connectivity. In addition, one of the most anticipated issues is poor connectivity in most of the areas and it is not possible to install infrastructure-based networks due to cost-effectiveness or non-vulnerability terrains (cellular blind spots like a desert, battlefields, forests, etc.). In the light of the above-mentioned discussion, an android application has been developed in the ongoing project for Android-based wireless devices named WiFi_Intercom. WiFi_Intercom uses classes which allow its user to connect with other connected users through WiFi wireless standard using point to point (P2P) or WLAN connection as a means of communication between Android-based wireless devices. The application will also allow the mobile user to search and call other connected users within the WiFi range through the application. Each mobile device connects to a WLAN router and identifies itself in the routing table.","PeriodicalId":340536,"journal":{"name":"Int. J. Inf. Technol. Manag.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126729378","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: 1
SGP: a social network sampling method based on graph partition SGP:一种基于图划分的社交网络采样方法
Int. J. Inf. Technol. Manag. Pub Date : 2019-05-10 DOI: 10.1504/IJITM.2019.10021184
Xiaolin Du, Dan Wang, Yunming Ye, Yan Li, Yueping Li
{"title":"SGP: a social network sampling method based on graph partition","authors":"Xiaolin Du, Dan Wang, Yunming Ye, Yan Li, Yueping Li","doi":"10.1504/IJITM.2019.10021184","DOIUrl":"https://doi.org/10.1504/IJITM.2019.10021184","url":null,"abstract":"A representative sample of a social network is essential for many internet services that rely on accurate analysis. A good sampling method for social network should be able to generate small sample network with similar structures and distributions as its original network. In this paper, a sampling algorithm based on graph partition, sampling based on graph partition (SGP), is proposed to sample social networks. SGP firstly partitions the original network into several sub-networks, and then samples in each sub-network evenly. This procedure enables SGP to effectively maintain the topological similarity and community structure similarity between the sampled network and its original network. Finally, we evaluate SGP on several well-known datasets. The experimental results show that SGP method outperforms seven state-of-the-art methods.","PeriodicalId":340536,"journal":{"name":"Int. J. Inf. Technol. Manag.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115161293","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
Threefold similarity analysis: a case study on crowdsourcing feeds 三倍相似度分析:以众包feed为例
Int. J. Inf. Technol. Manag. Pub Date : 2019-05-10 DOI: 10.1504/IJITM.2019.10021182
Kaixu Liu, G. Motta, Tianyi Ma, Ke Fan
{"title":"Threefold similarity analysis: a case study on crowdsourcing feeds","authors":"Kaixu Liu, G. Motta, Tianyi Ma, Ke Fan","doi":"10.1504/IJITM.2019.10021182","DOIUrl":"https://doi.org/10.1504/IJITM.2019.10021182","url":null,"abstract":"Crowdsourcing is a valuable social sensing for the smarter city. We present a framework of crowdsourcing feeds similarity analysis from a threefold point of view, namely image, text, and geography, which is based on similarity analysis, founded on a sequence that goes from coarse to thinner similarity filters. The main idea is to extract feeds within a specific geographic range, and then to analyse similarity of image colour and text in clustered feed sets. The framework enables to identify feeds that report the same issue, and hence to filter redundant information. Based on proved methods and algorithms, such framework has been implemented in a software application, called CITY FEED, which is used by the Municipality of Pavia.","PeriodicalId":340536,"journal":{"name":"Int. J. Inf. Technol. Manag.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133745148","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
A semi-supervised approach of graph-based with local and global consistency 基于图的局部一致性和全局一致性半监督方法
Int. J. Inf. Technol. Manag. Pub Date : 2019-05-10 DOI: 10.1504/IJITM.2019.10021201
Yihao Zhang, Junhao Wen, Zhi Liu, Changpeng Zhu
{"title":"A semi-supervised approach of graph-based with local and global consistency","authors":"Yihao Zhang, Junhao Wen, Zhi Liu, Changpeng Zhu","doi":"10.1504/IJITM.2019.10021201","DOIUrl":"https://doi.org/10.1504/IJITM.2019.10021201","url":null,"abstract":"An approach of graph-based semi-supervised learning is proposed that consider the local and global consistency of data. Like most graph-based semi-supervised learning, the algorithm mainly focused on two key issues: the graph construction and the manifold regularisation framework. In the graph construction, these labelled and unlabelled data are represented as vertices encoding edges weights with the similarity of instances, which means that not only the local geometry information but also the class information are utilised. In manifold regularisation framework, the cost function contains two terms of smoothness constraint and fitting constraint, it is sufficiently smooth with respect to the intrinsic structure revealed by known labelled and unlabelled instances. Specifically, we design the algorithm that uses the normalised Laplacian eigenvectors, which ensure the cost function can converge to closed form expression and then, we provide the convergence proof. Experimental results on various datasets and entity relationship classification show that the proposed algorithm mostly outperforms the popular classification algorithm.","PeriodicalId":340536,"journal":{"name":"Int. J. Inf. Technol. Manag.","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127667931","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: 1
Diabetes index evaluation framework based on data mining technology: a genetic factor involved solution for predicting diabetes risk 基于数据挖掘技术的糖尿病指标评价框架:一种涉及遗传因素的糖尿病风险预测方案
Int. J. Inf. Technol. Manag. Pub Date : 2019-05-10 DOI: 10.1504/IJITM.2019.10021202
Yao-wu Wang, D. Chu, Mingqiang Song
{"title":"Diabetes index evaluation framework based on data mining technology: a genetic factor involved solution for predicting diabetes risk","authors":"Yao-wu Wang, D. Chu, Mingqiang Song","doi":"10.1504/IJITM.2019.10021202","DOIUrl":"https://doi.org/10.1504/IJITM.2019.10021202","url":null,"abstract":"With the development of data mining, scientists began to apply information technology to solve medical problems. In this context, the idea of auxiliary medical service emerged. The purpose of this study is to propose a new framework predicting the probability of suffering from diabetes via diabetes index (DI), which is defined as a score to assess the diabetes-related risk of the participant. DI is calculated based on a diabetic clinical dataset and the SVM model is applied as well. Particularly, genetic feature is innovatively introduced as an important factor in view of the fact that people with family history are more vulnerable to diabetes. The framework is applied to implement a diabetes auxiliary evaluation system. After a set of comprehensive experiments, the assessment result is supposed to identify risk of the disease at an early stage, which contributes to a deeper understanding of one's own health conditions.","PeriodicalId":340536,"journal":{"name":"Int. J. Inf. Technol. Manag.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129769310","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
A fuzzy inference-based trust model estimation system for service selection in cloud computing 基于模糊推理的云计算服务选择信任模型估计系统
Int. J. Inf. Technol. Manag. Pub Date : 2019-05-10 DOI: 10.1504/IJITM.2019.10021204
Roney Thomas, P. Govindaraj, Jaisankar Natarajan
{"title":"A fuzzy inference-based trust model estimation system for service selection in cloud computing","authors":"Roney Thomas, P. Govindaraj, Jaisankar Natarajan","doi":"10.1504/IJITM.2019.10021204","DOIUrl":"https://doi.org/10.1504/IJITM.2019.10021204","url":null,"abstract":"Cloud computing assures to be the fundamental changeover in the evolution of the computing world. The cloud computing helps the users to have no Capex, which is making a lot of businesses and individuals to it. Many services are provided by the cloud, for users to meet their application's functional as well as non-functional. Due to the vast number of available services, ambiguous requirements, security and trust measures and efficiency provided by different cloud providers, it is often difficult for the users to select the cloud services. This paper proposes a system that assesses trust of cloud services by providers using a fuzzy-based inference system for selecting the services dynamically.","PeriodicalId":340536,"journal":{"name":"Int. J. Inf. Technol. Manag.","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133925863","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: 2
An EMD-SVM model with error compensation for short-term wind speed forecasting 带误差补偿的EMD-SVM短期风速预报模型
Int. J. Inf. Technol. Manag. Pub Date : 2019-05-10 DOI: 10.1504/IJITM.2019.10021209
Yuanyuan Xu, Tianhe Yao, Gen-ke Yang
{"title":"An EMD-SVM model with error compensation for short-term wind speed forecasting","authors":"Yuanyuan Xu, Tianhe Yao, Gen-ke Yang","doi":"10.1504/IJITM.2019.10021209","DOIUrl":"https://doi.org/10.1504/IJITM.2019.10021209","url":null,"abstract":"In this paper, we propose an empirical mode decomposition-support vector machine (EMD-SVM) model with error compensation in order to reduce the cumulative error and improve the prediction accuracy of short-term wind speed forecasting. The essential idea behind the proposed approach is that the error of the current prediction is highly correlated with the previous prediction errors, and the forecasted speed should be compensated in terms of the errors incurred from previous predictions. Specifically, we first predict the historical data by the EMD-SVM model so as to obtain the corresponding prediction errors. Then, we establish the error compensation mechanism. Finally, we combine the EMD-SVM model with error compensation to obtain the final prediction results. The error compensation strategy is validated by a series of actual 10 min wind speed data collected from New Zealand. Experimental results demonstrate that the proposed EMD-SVM model with error compensation can be successfully applied to short-term wind speed forecasting, and it has higher accuracy and stronger robustness compared with the method without error compensation.","PeriodicalId":340536,"journal":{"name":"Int. J. Inf. Technol. Manag.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129827545","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
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