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Adaptive Distributed Optimization for Uploading Data with Redundancy in Cooperative Mobile Cloud
Date: 2017/12/7             Browse: 26

Speaker:     Associate Prof. Xiaomin Zhu. NUDT

Time:          Dec  7.   15:30 — 16:30

Location:    Room 1A-200, SIST Building

Host:          Prof. Shu Yin

Abstract:

With the development of information technology and the ubiquity of mobile devices, increasing amounts of data are generated, processed and transmitted by mobile devices. In order to alleviate the tension between the energy poverty of mobile devices and the increasing demand for transmitting data, the energy-efficient data transmission problem attracts considerable research interests. Nonetheless, how to upload data with redundancy efficiently still lacks a thorough study in spite of the wide existence of this problem in many situations like data storage among mobile devices and mobile crowd sensing. Since uploading redundant data brings little value while still consuming precious energy, it is important to design an efficient approach for mobile devices to upload data with redundancy cooperatively. In this talk, we formulate the uploading data with redundancy in cooperative mobile cloud as an energy-constrained utility maximization problem. To solve this problem, we propose an adaptive distributed optimization approach consisting of the correlated upload decision and the online distributed scheduling algorithm. By the correlated upload decision, each mobile device can make adaptive decisions on how much data to upload and which data to upload according to its own observations independently. The online distributed scheduling algorithm enables mobile devices to optimally upload data while requiring no future information.

Bio:

朱晓敏,男,博士,国防科技大学信息系统与管理学院副教授、硕士生导师、学院基础交叉研究中心副主任。高性能计算国家重点实验室博士后。2009年于复旦大学获得计算机应用专业博士学位,同年参军入伍。

朱晓敏博士是国防科技大学优秀引进人才、科技部国家科技计划评审组专家、国家自然科学基金评审专家、阿里云合作研究员。加拿大约克大学、美国佐治亚理工学院的访问学者。目前担任中国计算机学会开放系统专委会委员、中国计算机学会(CCF)高级会员、中国系统工程学会会员、IEEE会员。2014年荣立三等功一次。

近年来主持了国家自然科学基金面上项目、国家自然科学基金青年基金项目、湖南省自然科学基金项目、军队“十三五”计划重点项目、军队预研基金项目、博士后特别资助项目等12项研究课题;作为研究骨干参加了教育部创新团队发展计划课题、国家安全重大基础研究973课题(军口973课题)、高分国家重大专项、国家自然科学基金海外及港澳学者合作研究基金、原总装预研基金重点项目、国家自然科学基金重大计划等10余项研究课题,主要研究分布式系统协同优化、资源组织和任务调度。

在IEEE TC、IEEE TPDS、IEEE TSC、IEEE ISJ、JPDC、ICDCS、CLOUD、ICPP等著名学术期刊和会议上发表90多篇论文,包括中国计算机学会(CCF)推荐的A类论文12篇和B类论文22篇。本领域权威的IEEE Transactions论文14篇。分布式系统领域权威会议ICDCS论文3篇。SCI论文34篇,EI论文88篇。计算机学报、软件学报、电子学报等国内一级学报论文18篇。论文累计被引用1000余次。2篇论文进入学科ESI全球排名前10%。


SIST-Seminar 17064