{"title":"Item Sorting Platform Based on Cloud Computing","authors":"Minbiao Han, Jianfei Yang, Zhou Fang, Z. Fang","doi":"10.1109/ICEBE.2016.053","DOIUrl":null,"url":null,"abstract":"As the pace of modern life gets much faster, time is becoming more and more valuable among the crowds. Too much information winds right in people's face, and they feel difficult to remember everything properly and hardly find useful information through existing tools. At present, we don't have an intelligent and helpful application for sorting personal belongings or a map application which provides a function for sharing areas. People often waste too much time looking for things. Some existing solutions are very simple and we can't add things conveniently. In this paper, we demonstrate the item-oriented Location-Based Mobile Services (LBMSs), which is a daily itemsorting application based on Bmob Cloud Platform, to solve this problem. Based on the geographical location, we propose a query items algorithm on the cloud computing platform, which plays a vital role in E-business service and application field. We utilize a map-based interface for visualizing the distribution of personal items and sharing information. It can be used as a private memo for recording items in the Photo + Text + Map way. It is also a public community for exchanging useful geolocation information between users. The proposed item-sorting helper is developed with cloud computing techniques, which relies on sharing of resources and focuses on maximizing the effectiveness of the shared resources. Sorting items on cloud is more private and convenient, which provides unlimited capacity and reliable service. Experimental results show that this application can function properly, it will help people sort items efficiently and get location tips in real-time.","PeriodicalId":305614,"journal":{"name":"2016 IEEE 13th International Conference on e-Business Engineering (ICEBE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 13th International Conference on e-Business Engineering (ICEBE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEBE.2016.053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
As the pace of modern life gets much faster, time is becoming more and more valuable among the crowds. Too much information winds right in people's face, and they feel difficult to remember everything properly and hardly find useful information through existing tools. At present, we don't have an intelligent and helpful application for sorting personal belongings or a map application which provides a function for sharing areas. People often waste too much time looking for things. Some existing solutions are very simple and we can't add things conveniently. In this paper, we demonstrate the item-oriented Location-Based Mobile Services (LBMSs), which is a daily itemsorting application based on Bmob Cloud Platform, to solve this problem. Based on the geographical location, we propose a query items algorithm on the cloud computing platform, which plays a vital role in E-business service and application field. We utilize a map-based interface for visualizing the distribution of personal items and sharing information. It can be used as a private memo for recording items in the Photo + Text + Map way. It is also a public community for exchanging useful geolocation information between users. The proposed item-sorting helper is developed with cloud computing techniques, which relies on sharing of resources and focuses on maximizing the effectiveness of the shared resources. Sorting items on cloud is more private and convenient, which provides unlimited capacity and reliable service. Experimental results show that this application can function properly, it will help people sort items efficiently and get location tips in real-time.