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Dr. John Clevenger Professor of Computer Science, Emeritus California State University, Sacramento Technical Director ACM International Collegiate Programming Contest Applied Research Areas Operating Systems Computer Graphics


  1. Dr. John Clevenger • Professor of Computer Science, Emeritus California State University, Sacramento • Technical Director ACM International Collegiate Programming Contest

  2. Applied Research Areas  Operating Systems  Computer Graphics  Computer Game Architecture  Programming Contests Dr. John Clevenger -- CSc 209

  3. What’s a Programming Contest ?  Teams  Judges  Problems  Scoreboards and Scoring Algorithms  System Support Software Dr. John Clevenger -- CSc 209

  4. The International Collegiate Programming Contest (“ICPC”)  Competition between University Teams around the world  Established by ACM in 1977  Sponsored by IBM since 1997  Multi ‐ tiered contest  Local university contests  Regional Contests  World Finals Contest Dr. John Clevenger -- CSc 209

  5. ICPC 2016 ‐ 17  46,381 student contestants  2,948 universities  103 countries  530 sites spread over six “super ‐ regions”  41 st Annual World Finals: May 20 ‐ 25, 2017 in Rapid City, SD  http://icpc.baylor.edu Dr. John Clevenger -- CSc 209

  6. ICPC World Finals Dr. John Clevenger -- CSc 209

  7. Programming Contest Software  Contest Control System (CCS)  Scoreboard/Presentation Systems  Contest Data Server (CDS)  Balloon Management Software  Analytic Tools  Live TV Presentations  Security Tools Dr. John Clevenger -- CSc 209

  8. Contest Control Systems Scoreboard Admin Team1 Human Judge … Team2 Server Human Judge … TeamN Automated Judge (AJ) … Automated Judge (AJ) Server … Dr. John Clevenger -- CSc 209

  9. The CSUS “ PC 2 ” CCS  Used in contests around the world (including at 17 different ICPC World Finals) PC 2 Downloads as of Spring 2014 Dr. John Clevenger -- CSc 209

  10. Cloud Computing  What IS “cloud computing”? Dr. John Clevenger -- CSc 209

  11. The Cloud Computing Secret: Dr. John Clevenger -- CSc 209

  12. Cloud Computing Models Web Software as a Service (SaaS) clients Email, messaging, payroll processing, CAD, accounting, customer relations, games and VR, … (browsers, mobile apps, Platform as a Service (PaaS) thin (Programming tools, databases, web servers, …) clients, terminal emulators, Infrastructure as a Service (IaaS) …) (Virtual machines, servers, storage, …) Dr. John Clevenger -- CSc 209

  13. Contest as a Service (CaaS) Software as a Service (SaaS) Contest Contest AutoJudge Contest Scoreboard Server Contest Team Contest Contest Admins, Admin Judges, Contest Teams, Human Spectators, Judge … Dr. John Clevenger -- CSc 209

  14. CaaS Requirements  Contest setup  Component “spin ‐ up”  servers, admins, teams, judges “as needed”  Scalability  Load balancing/monitoring  Use existing support facilities  Application servers (TomCat, Jetty, Websphere)  Docker, Cloud Foundry  Cloud Service Providers Amazon WS, Google AppEngine, Microsoft Azure, o IBM Bluemix, …. Dr. John Clevenger -- CSc 209

  15. CaaS: PC 2 Version 10 Resource Manager Spawn Machines Jetty AppServer MySQL Database Jetty WebServer Jersey REST Compile Http Requests Services Dispatcher Checker Run Jetty Jetty … Compare … Spawn additional machines as needed Dr. John Clevenger -- CSc 209

  16. Current Ongoing Projects PC 2 Version 9 Extensions  Team “sandboxing”  Web ‐ based Team interface  ICPC CMS Services access tool  Web ‐ based Test Run submission   “Next ‐ Gen” Cloud ‐ based Contest Control Systems REST ‐ based Run Flow in a Cloud CCS  Architecture ‐ independent remote machine spawning  Using Docker containers for Cloud CCS modules  Dr. John Clevenger -- CSc 209

  17. Available Projects  Distributed Application Load Balancing  Front ‐ end  Back ‐ end  Contest Administrator Configuration interface  Infrastructure automation tools  Application server performance measurement Dr. John Clevenger -- CSc 209

  18. Front ‐ end Load Balancing  Users need a single set of URLs (REST endpoints)  Multiple AppServers must respond to the same URLs…  Need a front ‐ end balancer/router  Multiple candidates: Pound, HA ‐ Proxy , OpenShift Admins, Judges, Teams, Spectators Resource AppServer1 Manager Spawn Machines ? Load AppServer2 Balancer Http Requests to fixed Contest URLs AppServer3 … Dr. John Clevenger -- CSc 209

  19. Back ‐ end Load Balancing  Resource Manager automatically starts (one) AppServer, Dispatcher, & Checker  How does it determine when more are needed?  RM must implement “system monitoring” Resource Spawn at Startup Manager AppServer1 Load Check load Monitor Dispatcher1 Checker1 Spawn new modules AppServer2 Dispatcher2 Checker2 … … … Dr. John Clevenger -- CSc 209

  20. PC2V10 Contest Admin Interface Contest Teams Resource AppServer Manager Jetty WebServer Submissions DB Jersey REST X Services Contest Configuration Checker Dispatcher Contest Administrator Dr. John Clevenger -- CSc 209

  21. Infrastructure Automation Tools  Integrating DevOps into PC 2 V10  Dev elopment  Design / Code / Test  Op eration s  Deployment / Monitoring / Scaling / Disaster Recovery / Documentation  Automation tools  Puppet, Chef, Salt, Ansible, Google Borg*  Integrate an appropriate tool into the PC 2 V10 framework * probably not available  Dr. John Clevenger -- CSc 209

  22. Application Server Performance  Current architecture uses embedded Jetty for web services: Application Http Jetty Communications WebServer requests with other modules  Differs from the traditional Application Server model: Appl. Server (e.g. TomCat, Websphere, …) Http requests Application Dr. John Clevenger -- CSc 209

  23. App. Server Performance, cont.  Two important questions:  How scalable is the embedded Jetty model?  What are the performance characteristics of Jetty vs. the traditional model?  Tools and Frameworks exist for measuring these:  Apache Jmeter, MultiMechanize, Siege, Locust, HttpPerf, … Dr. John Clevenger -- CSc 209

  24. Possible Future Projects  Expanding the Cloud CCS capabilities  Additional User Interactions  Further work on cloud provider ‐ architecture  Database Optimization for Scalability  Configure various Master/Slave DBMS configurations  Use performance measurement tools to find optimal configuration under loading  Status Tracking  Provide SysAdmins with tools to show module status/state, history, traffic, etc. Dr. John Clevenger -- CSc 209

  25. Background/Experience  Extensive Java (preferably JavaEE)  GUI creation  Event handling  Development tools (Eclipse, Git, …)  Design Patterns  Web services  Application Servers (Tomcat, Jetty, …)  REST principles  Web protocols and standards  HTTP/S, HTML, JSON, XML, …  Good English writing skills  A Penchant for Programming! Dr. John Clevenger -- CSc 209

  26. Contact Info / Resumes:  Dr. John Clevenger  email: clevenger@csus.edu  office: RVR 5018/5001  Hours: by appointment Thank You! Dr. John Clevenger -- CSc 209

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