CMP4502 Distributed DatabasesBahçeşehir UniversityDegree Programs INDUSTRIAL ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
INDUSTRIAL ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
CMP4502 Distributed Databases Fall
Spring
3 0 3 6
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi TARKAN AYDIN
Recommended Optional Program Components: None
Course Objectives: Communication paradigms: client/server protocols, remote procedure call (e.g., Java RMI), multicast protocols handling asynchronous communication and failures. Distributed transaction management requires enhanced concurrency control methods. Comparing algorithms proposed by researchers and commercial solutions. Replicating data to increase fault-tolerance and the performance of databases.

Learning Outcomes

The students who have succeeded in this course;
1. Be able to understand Distributed computing systems, their characteristics, and desired functionality
2. Become familiar with Distributed computer system models and architectures
3. Be able to understand Synchronization
4. Be able to understand Replication
5. Be able to use distributed naming
6. Be able to understand Fault-tolerance

Course Content

1.Introduction
2.DDBMS Architecture
3.Distributed Database Design
4.Semantic Integrity Control
5.Query decomposition and data localization
6.Optimization of Distributed Queries
7.Transactions
8.Concurrency Control
9.Reliability

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction: syllabus, administration and organization of the course, general introduction in distributed DBMS None
2) DDBMS Architecture: definition of DDBMS architecture, ANSI/SPARC standard, global, local, external, and internal schemas, DDBMS architectures, components of DDBMS None
3) Distributed Database Design: conceptual design (what can be distributed, design patterns), top-down, bottom-up patterns, technical design (fragmentation, allocation and replication of fragments, optimality, heuristics) None
4) Semantic Integrity Control: view management, security control, integrity control None
5) Semantic Integrity Control: view management, security control, integrity control None
6) Midterm Exam 1 Review all the topics
7) Query decomposition and data localization: normalization, analysis, elimination of redundancy, rewriting, reduction for HF, reduction for VF None
8) Optimization of Distributed Queries: basic concepts, distributed cost model, database statistics None
9) Optimization of Distributed Queries: ordering of joins and semijoins, query optimization algorithms, INGRES, System R, hill climbing None
10) Transactions: introduction to transactions, definition and examples, properties, classification, processing issues, execution None
11) Midterm Exam 2 Review all the topics
12) Concurrency Control: definition, execution schedules, examples, locking based algorithms, timestamp ordering algorithm, deadlock management None
13) Reliability: definitions, basic concepts, local recovery management, distributed reliability protocols None
14) Reliability: distributed reliability protocols, 2PC protocol None

Sources

Course Notes / Textbooks: Principles of Distributed Database Systems by M. Tamer Özsu and Patrick Valduriez
References: None

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Project 1 % 10
Midterms 2 % 40
Final 1 % 50
Total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
Total % 100

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Build up a body of knowledge in mathematics, science and industrial engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems.
2) Identify, formulate, and solve complex engineering problems; select and apply proper analysis and modeling methods for this purpose.
3) Design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. The ability to apply modern design methods to meet this objective.
4) Devise, select, and use modern techniques and tools needed for solving complex problems in industrial engineering practice; employ information technologies effectively.
5) Design and conduct experiments, collect data, analyze and interpret results for investigating the complex problems specific to industrial engineering.
6) Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working independently.
7) Demonstrate effective communication skills in both oral and written English and Turkish. Writing and understanding reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instructions.
8) Recognize the need for lifelong learning; show ability to access information, to follow developments in science and technology, and to continuously educate him/herself.
9) Develop an awareness of professional and ethical responsibility, and behaving accordingly. Information about the standards used in engineering applications.
10) Know business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development.
11) Know contemporary issues and the global and societal effects of modern age engineering practices on health, environment, and safety; recognize the legal consequences of engineering solutions.
12) Develop effective and efficient managerial skills.