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         CSI5311 --  Distributed Databases -- Winter 2018
   
                        Iluju Kiringa
                    ++1-613-5625800x2123
                   kiringa@site.uottawa.ca

Objectives

The course will deal with both classical material and some of the advanced 
developments in the area of distributed database management systems. 
Classical topics covered include, but are not necessarily limited to: 
distributed DBMS architectures, distributed design, distributed query
processing and optimization, and distributed transaction processing. More 
advanced and current topics include: data integration, peer data 
management, streaming data, and cloud computing.

Prerequisites

Required is a solid knowledge of relational database systems at the level 
of CSI3130. Also having taken a course on computer networks at the 
undergraduate level is desirable.

Course Outline

     	Introduction and Background
	Distributed Database Design
	Database Integration
	Semantic Data Control
	Distributed Query Processing
	Multidatabase Query Processing
	Distributed Transaction Management
	Data Replication 
	Data Stream Management and Cloud Data Management 

Text book

     T. Ozsu and P. Valduriez, Principles of Distributed Database Systems, 
     3rd edition, Springer, 2011.

Workload

     The course is based on a set of lectures on distributed databases. 
     Students must read a research paper in groups of 2 participants 
     and then do the following:
         - a 30-minutes presentation of the paper in class; 
         - submit an independent, 8-10-page research paper building 
           on the ideas contained in the paper they have presented. 
     
     The 30-minutes presentation sessions will be scheduled in the first 
     month of the course. Papers for presentation will focus on streaming data 
     and cloud data management. 
     
     Active class participation is required. The research paper counts for 40%, 
     the presentation for 20%, and a problem set (including a take home exam of 20%) 
     for the remaining 40%. To pass the course, one must obtain at least 50% on 
     the problem set and at least 70% on the research paper.