01:198:553 Spring 2023: Design of Internet Services Syllabus

• Home
• Syllabus

Reference Materials

This course draws from a wide range of source material. The instructor will recommend specific reading material for each week, most of which is publicly available. Others will be made available through Canvas.

There is no single recommended textbook for this course. Beyond the weekly readings, these are some textbooks and resources you may find helpful.

• Computer Networking: A Top-Down Approach, 7th edition, by James F. Kurose and Keith W. Ross. (Also see below for a free and publicly available alternative for a computer networking textbook.)
• Operating Systems: Three Easy Pieces, available freely online by Remzi and Andrea Arpaci-Dusseau.
• Principles of Computer System Design, by Jerome Saltzer and Frans Kaashoek. You can read this book online by logging into the Rutgers library site; use this custom link. Also, Part 2 of this book is freely available online.
• Designing Data-Intensive Applications, by Martin Kleppman. You can read this book online by logging into the Rutgers library site; use this custom link.
• Building microservices, by Sam Newman. You can read this book online by logging into the Rutgers library site; use this custom link.
• Google's site reliability engineering (SRE) workbook, by many authors, edited by Betsy Beyer, Niall Murphy, David Rensin, Kent Kawahara, and Stephen Thorne, available freely online.
• The Linux Programming Interface : A Linux and UNIX System Programming Handbook, by Michael Kerrisk. You can read this book online by logging into the Rutgers library site; use this custom link.

Here are some other textbooks on computer networking that may be helpful.

• TCP/IP Illustrated, Volume 1: The Protocols by W. Richard Stevens.
• Computer Networking: Principles, protocols, and practice by Olivier Bonaventure. The third edition of this textbook is openly and freely available.

Syllabus

This syllabus is tentative and subject to change.

• Lectures 1--2: Internet and web architecture: layering, naming, HTTP, content distribution networks, transports
• Lecture 3: application architecture: microservices architectural pattern, remote procedure calls (RPCs), asynchronous messaging queues
• Lecture 4: data-intensive processing: NoSQL, partition-aggregate data processing, MapReduce, Spark
• Lecture 5: systems support: virtualization, containers, orchestration
• Lectures 6--7: infrastructure: public cloud architecture, software-defined networking, container networking, virtual switching, policies and service mesh
• Lecture 8: high-speed packet processing: user space frameworks, programmable kernel extensions, programmable NICs
• Lectures 9--10: the data center network: interconnects, in-cluster routing, data center transport, RDMA
• Lectures 11--12: reliability: load balancing, metadata and lock services, distributed consensus
• Lectures 13--14: monitoring: performance signals, distributed tracing, observability and debugging, in-band network telemetry

Time permitting, we will cover other special topics such as clock synchronization, security (mutual TLS), and cloud process scheduling.

Schedule

This schedule is tentative and subject to change.

Major milestones: Tentatively,

• programming homeworks are due on Mondays 02/06, 02/20, 03/06, and 03/27 and 04/04.
• the course project specification document is due on Monday 04/10.
• online quizzes are due every Tuesday and Friday starting on Friday 01/20 and ending Friday 04/28.
• project source code and final report will be due at the end of the semester, tentatively 05/04.

All lecture slides will be made available below.

---

Last updated: 2023-04-26 17:38:26 -0400 [validate xhtml]