Proceedings of the 2015 on MobiSys PhD Forum最新文献_第2页

Gradient Profiling for Pedestrian Services 行人服务的坡度分析

Proceedings of the 2015 on MobiSys PhD Forum Pub Date : 2015-05-18 DOI: 10.1145/2752746.2752784

Shubham Jain

引用次数: 2

Big Stream Cloud Architecture for the Internet of Things 物联网大流云架构

Proceedings of the 2015 on MobiSys PhD Forum Pub Date : 2015-05-18 DOI: 10.1145/2752746.2752789

Laura Belli

{"title":"Big Stream Cloud Architecture for the Internet of Things","authors":"Laura Belli","doi":"10.1145/2752746.2752789","DOIUrl":"https://doi.org/10.1145/2752746.2752789","url":null,"abstract":"The Internet of Things (IoT) will consist of billions of interconnected devices denoted as “Smart Objects:” (SOs) tiny, constrained devices which are going to be pervasively deployed in several contexts. The actors involved in IoT scenarios have extremely heterogeneous characteristics (in terms of processing and communication capabilities, energy supply and consumption, availability, and mobility), spanning from constrained SOs, to smartphones and other personal devices, Internet hosts, and the Cloud. SOs are typically equipped with sensors and/or actuators and are thus capable to perceive and act on the environment where they are deployed. By 2020, 50 billions of SOs are expected to be deployed in urban, home, industrial, and rural scenarios [3], in order to collect relevant information, which may be used to build new useful applications. In a typical IoT scenario, sensed data are collected by SOs, deployed in and populating the IoT network, and sent uplink to collection entities as the Cloud. With billions of nodes capable of gathering data and generating information, the availability of efficient and scalable mechanisms for collecting, processing, and storing data is crucial. Big Data techniques, which were developed in the last few years, address the need to process extremely large amounts of heterogeneous data for multiple purposes. These techniques have been designed mainly to deal with huge volumes of information (focusing on storage, aggregation, analysis, and provisioning of data), rather than to provide real-time processing and dispatching. One of the distinctive features of IoT systems is the deployment of a huge amount of heterogeneous data sources collecting data from the environment and sending information through the internet to collectors. The work of all data sources generate, as a whole, streams with a very high frequency. Moreover, several relevant IoT scenarios need real-time or predictable latency. The number of data sources, on one side, and the subsequent frequency of incoming data, on the other side, create a new need for Cloud architectures to handle such massive information flows. Big Data approaches typically have an intrinsic","PeriodicalId":325557,"journal":{"name":"Proceedings of the 2015 on MobiSys PhD Forum","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121588137","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

Session details: Session 1: Pervasive Applications and Sensing 会议详情:会议1:普适应用和传感

Proceedings of the 2015 on MobiSys PhD Forum Pub Date : 2015-05-18 DOI: 10.1145/3251229

Chungkuk Yoo

引用次数: 0

Sensor-Cloud: Enabling Remote Health-Care services 传感器云:启用远程医疗保健服务

Proceedings of the 2015 on MobiSys PhD Forum Pub Date : 2015-05-18 DOI: 10.1145/2752746.2752787

S. Bhunia

引用次数: 2

Simplifying Cooperation with End Users 简化与终端用户的合作

Proceedings of the 2015 on MobiSys PhD Forum Pub Date : 2015-05-18 DOI: 10.1145/2752746.2752790

Nairan Zhang

{"title":"Simplifying Cooperation with End Users","authors":"Nairan Zhang","doi":"10.1145/2752746.2752790","DOIUrl":"https://doi.org/10.1145/2752746.2752790","url":null,"abstract":"1. MOTIVATION Traditional virtual communities such as bulletin board system (BBS) and Internet forum have clearly shown the capability of networking strangers to share useful information. Such communities do not require people to report their physical locations even if the community and relevant topics are limited to a particular place. However, as the portable device (e.g., smartphones and tablets) becomes a main gateway to Internet, we have already noticed two significant changes on the location-transparent virtual communities. First, information exchanged now is combined with physical locations. Second, by directly using location information, people sharing similar interests can be recognized and self-organized. While conceptual applications based on above changes, such as participatory sensing and urban gaming, were also proposed recently, mobile system researchers should ask if technologies can accelerate the realization of such applications. This thesis explores this question by breaking emerged communities down to two organization models, and focusing on different pain points of each one. We now briefly describe the differences of two models in terms of the social motivation of forming a community and the network architecture of connecting members.","PeriodicalId":325557,"journal":{"name":"Proceedings of the 2015 on MobiSys PhD Forum","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134037922","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