CIS 455 / 555: Internet and Web Systems (Spring 2018)

Instructor Andreas Haeberlen
Location: 560 Levine Hall
Office hour: Mondays 1:00-2:00pm
Time and location Location: Berger Auditorium
Mondays + Wednesdays 10:30am – noon
Teaching assistants Hengchu Zhang, hengchu@seas.upenn.edu
Office hour: Mondays noon-1:00pm (GRW 5th floor bump space)

Yingjie Luan, yingjiel@seas.upenn.edu
Office hour: Mondays 7:00-8:00pm (Levine 5th floor bump space)

Sahana Vijaya Prasad, vijayapr@seas.upenn.edu
Office hour: Tuesdays 11:00am-noon (GRW 5th floor bump space)

Rishabh Gupta, rgupt@seas.upenn.edu
Office hour: Tuesdays 2:30-3:30pm (GRW 5th floor bump space)

Kejin Fan, fankejin@seas.upenn.edu
Office hour: Wednesdays 1:00-2:00pm (GRW 5th floor bump space)

Urja Nadibail, urjan@seas.upenn.edu
Office hour: Wednesdays 2:00-3:00pm (GRW 5th floor bump space)

Jane Lee, janehlee@sas.upenn.edu
Office hour: Thursdays 6:00-7:00pm (Levine 6th floor bump space)

Linyan Dai, ldai@seas.upenn.edu
Office hour: Thursdays 5:00-6:00pm (Levine 6th floor bump space)

Victoria Xiao, xiaov@seas.upenn.edu
Office hour: Fridays 1:00-2:00pm (GRW 5th floor bump space)

Animesh Shah, animeshm@seas.upenn.edu
Office hour: Fridays 2:30-3:30pm (GRW 5th floor bump space)

Course description This course focuses on the issues encountered in building Internet and web systems: scalability, interoperability (of data and code), atomicity and consistency models, replication, and location of resources, services, and data. Note that it is not about building database-backed or PHP/JSP/Node-based web sites (for this, see CIS 450/550 or NETS 212). Here, we will learn how a web server itself is built!

Similarly, the course covers stream processors and "big data analytics" platforms like MapReduce, Apache Storm, Spark, etc. -- from the perspective of how they work. For details on using such systems, see CIS 545. Here you'll actually build such systems! We will examine how XML standards enable information exchange; how web services support cross-platform interoperability (and what their limitations are); how "cloud computing" services work; how to do replication and Akamai-like content distribution; and how application servers provide transaction support in distributed environments. We will study techniques for locating machines, resources, and data (including directory systems, information retrieval indexing and ranking, web search, and publish/subscribe systems); we will discuss collaborative filtering and mining the Web for patterns; we will investigate how different architectures support scalability and distributed coordination (and the issues they face). We will also examine the ideas that have been proposed for tomorrow's Web, and see some of the challenges, research directions, and potential pitfalls.

An important goal of the course is not simply to discuss issues and solutions, but to provide hands-on experience with a substantial implementation project. This semester's project will be a peer-to-peer implementation of a Google-style search engine, including distributed, scalable crawling; indexing with ranking; stream processing; and even PageRank on your own MapReduce-style implementation!

As a side effect of the material of this course, you will learn about some aspects of large-scale software development: assimilating large APIs, thinking about modularity, reading other people's code, managing versions, debugging, and so on.

CIS555 is now a core course for the MSE degree; for details, please see the MSE requirements. The Daily Pennsylvanian published a nice article about CIS455/555.

Format The format will be two 1.5-hour lectures per week, plus assigned readings from handouts. There will be regular homework assignments and a substantial implementation project with experimental validation and a report. There will also be two in-class midterms.
Prerequisites This course expects familiarity with threads and concurrency, as well as strong Java programming skills. Those highly proficient in another programming language, such as C++ or C#, should be able to translate their skills easily. The course will require a considerable amount of programming, as well as the ability to work with your classmates in teams.
Texts and readings Distributed Systems: Principles and Paradigms, 3rd edition, by Tanenbaum and van Steen, Prentice Hall (ISBN 978-1530281756)
You can buy a physical copy (e.g., for $35 on Amazon) or download a free digital copy here.
Additional materials will be provided as handouts or in the form of light technical papers.
Grading Homework 32%, first midterm 15%, second midterm 15%, project 33%, participation 5%.
Other resources We will be using Piazza for course-related discussions; please sign up here. A reading list is also available.
Assignments The homework assignments will be available here. You can submit your solutions online (requires PennKey login).
Final project Wondering what you will be able to do at the end of this class? Here is an example from Spring 2017:
 
Example results from PennCH3
Hung, Hitali, Chirag, and Harsh
Searching with Alexa
The 2017 Google Award for the best final project went to Hung Nguyen, Chirag Shah, Hitali Sheth, and Harsh Verma for their "PennCH3" search engine. PennCH3 not only searches the web but also displays information from a variety of sources, including soccer scores, stock quotes, weather forecasts, and shopping results. Users can also submit searches using their Alexa-enabled devices. Under the hood, the system is highly scalable and uses replication for fault tolerance; the team (boldly) proved this by killing some of the nodes during a live demonstration. Google generously donated four Google Home devices as a prize, and each member of the PennCH3 team received one of the devices.

A honorable mention went to project "Q+A" (Mani Mahesh, Archith Shivanagere, Rishisingh Solanki, and Sanidhya Tiwari), whose solution featured location-specific results and used reinforcement learning to improve the results based on feedback from the users.

You can read more about previous Google Award winners and their projects in the CIS455/555 Hall of Fame.

Schedule
Date Topic Details Reading Remarks
Jan 10 Introduction Principles of building systems
Project management & debugging tips
Lampson: Hints for Computer Systems Design  
Jan 15 MLK day — no class
Jan 17 Server architectures Common server types: Web, application
Architectures: client/server, P2P, multi-tier
Marshall: HTTP Made Really Easy
Tanenbaum 3.1
HW0
Jan 22 Server architectures Threads, monitors, signals, producer-consumer
Thread pools, event-driven programming
Krishnamurthy/Rexford Chapter 4
Krohn: OKWS paper
HW1
Jan 24 Virtualization Virtualization
Union filesystems; containers
Docker
Merkel: Docker HW0 due
Jan 29 Naming & locating resources Naming and directories; search strategies
LDAP; DNS; DNSSEC
Wikipedia: DNS
Marshall: LDAP intro
 
Jan 31 Indexing Document indexing
B+ tree
Comer: The Ubiquitous B-Tree  
Feb 5 Java servlets Servlet API
Servlet containers
   
Feb 7 Data formats and data interchange Data representations
XML
DTDS and XML Schema; DOM
XPath
Doan, Halevy, Ives: XML HW1 MS1 due
Feb 12  
Feb 14 Decentralized systems Partly and fully decentralized systems
Key-based routing
Druschel and Rodrigues: Peer-to-peer systems  
Feb 16 Last day to drop
Feb 19 Key-based routing Partitioning and consistent hashing
BitTorrent, Chord
Stoica et al.: Chord  
Feb 21 Retrieving data Crawling basics
Publish-subscribe; collaborative filtering
Mercator; XFilter
Altinel and Franklin: XFilter
Heydon and Najork: High-Performance Web Crawling
HW1 MS2 due; HW2
Feb 26 Storing data Cloud file system Ghemawat et al.: The Google File System
 
Feb 28 First midterm
Mar 3–11 Spring break — no class
Mar 12 Processing data MapReduce programming model Dean and Ghemawat: MapReduce  
Mar 14 Processing data (contd.) Hadoop Shvachko: Apache Hadoop: The Scalability Update HW2 MS1 due
Mar 19 Code interoperability Remote procedure calls
Web services
SOAP, WSDL, REST
Service composition
Tanenbaum chapters 4.2 and 10.3  
Mar 21 Class canceled (snow day)
Mar 26 Documents and ranking Information retrieval models
Web connectivity
Ranking
An Introduction to Information Retrieval, Chapters 1, 2, and 6  
Mar 28 Documents and ranking (contd.) Web crawlers
HITS and PageRank
Kleinberg: HITS
Brin and Page: PageRank
Brin and Page: Google
Wired article on Google
HW2 MS2 due; HW3
Form project groups
Mar 30 Last day to withdraw
Apr 2 The Cloud Utility computing model
AWS basics; EC2+EBS
Armbrust: A view of Cloud Computing  
Apr 4 Transactions Application server and TP monitor architectures
ACID properties
Two-phase commit
Tanenbaum chapters 8.5-8.6  
Apr 9 Fault tolerance Replicated state machines
Consensus; Paxos algorithm
Rational behavior and Byzantine faults
Lamport: Paxos (Alternative version)
Schneider: State Machine Approach
 
Apr 11 Security Web security
Views, ACLs, capabilities; crypto basics
Kerberos; TLS
Tanenbaum chapter 9 HW3 due; Project plan due (on April 7)
Apr 16 No class — Andreas in DC for a NSF meeting
Apr 18 Incremental processing Bigtable
Percolator
Peng and Dabek: Percolator  
Apr 23 Special topics Accountability
Differential privacy
Narayanan and Shmatikov: Robust Deanonymization  
Apr 25 Second midterm
Apr 30–May 8
Project demos and reports