The [216:1 Ratio]

1. The [216:1 Ratio] Bridging the Growing Support Gap Through the Proactive Deployment of Emerging Technologies Johnathon A. Mohr, MBA Philadelphia University School House Lane and Henry Ave Philadelphia, PA 19144-5497Tel. 215.951.6814 Mohrj@philau.edu

2. Overview • Background • Overview of Philadelphia University • The Epidemics of 2002 and 2003 • Defining Containment and Prevention Measures in the wake of the outbreak • The “Cat in the Hat” meets SMA • The Cerberus at the Gate • Hardware protections • The Epidemiology of the next generation of Outbreaks

3. Overview (Continued) • Student Leadership in the 21st Century • PAIR’ing Model • Lines of Demarcation and Demographics • Defining response (PERT Modeling) • Conclusions • Adaptive Emergent Computing • Doing more with Less • Student ownership and Empowerment

4. What is Philadelphia University? • Defining a University in the wake of institutional evolution. • Punctuated Equilibrium in Growth • Dramatic Transformation in the Nature of the University • The Evolution of an Organization

5. Philadelphia University: Evolution The University evolved dramatically over time. As such, the needs technologically, have changed dramatically as well.

6. The Outbreak Various contributing factors lead to crippling epidemics in 2002-2003. Thus, the etiology manifested as a result of these interrelated casualties.

7. The Tools of the Trade The various technologies that enable a lean, agile organization and a secure end-user computing experience.

8. On the Frontlines The steps for a student to access the network and internet.

9. Transparent Protection The Backend technologies and methodologies protecting our network.

10. Lastly…the Ω Directive Physically Disabling or Shutting Down sections of the Network Ω

11. Campus Manager

12. Response Evolution • SUS/WSUS Experience • Centrally Managed Antivirus Experience • The “Client Assessment Tool” Experience • Enter SMA (System Management Application) • Security Criteria for SMA • The Application Deployment and Updates

13. Trends • Prevention of Outbreaks • Decrease in Support Calls • Drive by and passive infections Dramatically Decreased • The weakness – the user. • Instant Messaging • MySpace • Facebook • P2P Applications

14. Student Support The Foundations of Student Support.

15. PAIR’ing Model

16. Projections • Resident Student Population Increase. • Increased Demand for Resources. • Nature of Programs Require Cutting Edge Hardware and Software. • Increased Reliance on Technology and Demand for Technology. • Evolution of the agile institution.

17. Response Time • 14 Day open to Close (Peak) • 7 Day Open to Close (Normal Demand) • Te = (a+4m + b) / 6 • Where: • Te= Expected Activity Duration • a = Optimistic Time • m = Most Likely Time • B = Pessimistic Time

18. Calculations: Te = (a+4m + b) / 6 • Normal Period • a: 5, m: 7, b:10 • Te = 7.16 Days • Peak Periods • a: 7, m: 10, b: 14 • Te = 10.16 days

19. Conclusions • Forced Adaptation • Funding is Constant does not meet demand • Required to innovate • University Evolution: The Punctuated Equilibrium • Constant Vigilance by IT • The Trojan Horse: • The Risk Now is with the user.

20. Questions? Comments? Thank you! Johnathon A. Mohr, MBA Philadelphia University School House Lane and Henry Ave Philadelphia, PA 19144-5497Tel. 215.951.6814 Mohrj@philau.edu