Rethinking Competitive-Ratio: Two Case Studies

When

24/06/2015    
11:00 am-12:00 pm
I-Hong Hou
Texas A&M)

Where

LINCS Meeting Room 40
23, avenue d'Italie, Paris, 75013

Event Type

Abstract: Competitive ratio is traditionally defined by asking the question: “How much service can a policy deliver with a fixed amount of resource”. This definition requires applications to adapt to their perceived service. However, many emerging applications, such as multimedia and safety-critical applications, have strict service requirements. In order to accommodate these applications, we redefine competitive ratio by asking: “How much resource does a policy need to provide a fixed degree of service.” By studying two different applications, we demonstrate that answering the second question reveals some surprising results.
Biography: I-Hong Hou is an assistant professor in the ECE Department of the Texas A&M University. He received his Ph.D. from the Computer Science Department of the University of Illinois at Urbana-Champaign. His research interests include wireless networks, wireless sensor networks, and real-time systems. He received the C.W. Gear Outstanding Graduate Student Award from the University of Illinois at Urbana-Champaign, and the Silver Prize in the Asian Pacific Mathematics Olympiad.
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