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Seminar: “Query-centric storage, indexing, and networking” by Prof. Duc Tran (Uni. of Massachusetts in Boston)

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Tháng Ba 27

Trân trọng kính mời các Thầy/Cô, Học viên cao học và Nghiên cứu sinh quan tâm tới dự buổi seminar khoa học của Giáo sư Đức Trần từ University of Massachusetts in Boston (USA).

Thời gian: 13h30 thứ Hai, 03/04/2017

Địa điểm dự kiến: Phòng 212-E3

Thông tin về chủ đề seminar và diễn giả như sau:

Title: Query-Centric Storage, Indexing and Networking

Abstract: The mainstream approach to distributed data storage is essentially data-centric, aiming to preserve certain content relationships, for example by putting contents with similar attribute values together on the same server. Often in practice, especially for high-dimensional data, it is difficult to quantify content similarity effectively. We advocate the concept that the data are not what their content is, but are what they are queried for. Consequently, we propose a query-centric approach that is free of any content similarity measure. In this era of big data, although a lot of data are generated, only a small subset of them are queried, hence useful. By adopting a query-centric approach, we can focus our optimization only on the useful data, for the benefit of the queries. In this talk, we identify three key challenges that arise in the pursuit of this approach and subsequently propose a distributed query-centric framework to address them, specifically with the following components: (1) a storage design aimed to optimally adapt to a sequential workload of queries; (2) a query-adaptive indexing design that can scale with the data dimensionality; and (3) a network design that allows for efficient routing of data to serve a set of queries. The talk will be focused on the problem formulations and suggested solution approaches.

Brief Bio: Dr. Duc A. Tran is an Associate Professor of Computer Science at University of Massachusetts in Boston (USA), where he is Director of the Network Information Systems Lab. His research interests are networks and distributed (big) data, with current focus on fast and efficient techniques targeting social, sensing, storage, and search applications. His research efforts have led to several research grants from the NSF and Best Paper Recognition at IEEE MASS 2014, ICCCN 2008, and DaWak 1999. Dr. Tran’s professional activities include serving as a frequent NSF Review Panelist, Editor for Elsevier Ad Hoc Networks Journal (2015-date), Editor for Springer Journal on Computational Social Networks (2013-date), Editor for Taylor Francis Journal on Parallel, Emergent, and Distributed Systems (2010-date), Guest-Editor for the Journal on Pervasive Computing and Communications (2009), TPC Symposium Co-Chair for IEEE ICNC 2017, TPC Track Chair for IEEE VTC Fall 2015, TPC Vice-Chair for IEEE AINA 2007, and Organizing Committee member for ACM Multimedia 2014 and IEEE DCOSS 2016. He was on the TPC for 80+ international conferences. Dr. Tran obtained his PhD degree in Computer Science from the University of Central Florida in 2003.

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