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Proposed Research Topics Spring 2003 Abed E. Lawabni & Prof. Ahmed H. Tewfik

Proposed Research Topics Spring 2003 Abed E. Lawabni & Prof. Ahmed H. Tewfik { lawabni, tewfik }@ ece.umn.edu. Road Map. Radio Resource Management Scheme for WLAN. Dynamic Frequency Allocation. Wireless Link Aggregation (Routing-Flow Optimization). Load Balancing Algorithms.

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Proposed Research Topics Spring 2003 Abed E. Lawabni & Prof. Ahmed H. Tewfik

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  1. Proposed Research Topics Spring 2003 Abed E. Lawabni & Prof. Ahmed H. Tewfik { lawabni, tewfik }@ ece.umn.edu

  2. Road Map • Radio Resource Management Scheme for WLAN. • Dynamic Frequency Allocation. • Wireless Link Aggregation (Routing-Flow Optimization). • Load Balancing Algorithms. • Data Replication Vs. Erasure codes.

  3. Radio Resource Management Scheme for WLANEfficient and Robust Data Paths • Providing an efficient data path between the client and the remote storage device to achieve: • Low latency. • High throughput. • Supporting different applications.

  4. Radio Resource Management Scheme for WLAN Switching Hub Gigabit Backbone IP Network within a Region OSD IEEE 802.11 AP IEEE 802.11 AP OSD OSD OSD Web Object Multimedia Object Text Object Where it should be associated ? What type of traffic is going to be requested?

  5. Radio Resource Management Scheme for WLAN(continue) • Analytical Modeling. • { traffic type, distance effect, PER, # of competing stations, etc.} • An Empirical (Measurement-based) Simulation.

  6. Data Replication • When a decision to replicate is made , where is the replicated object located? • Main Challengeis that future demand is anunknown. • Formulating the object replication & positioning problem as a Stochastic network resource allocation problem. • Different terms in the cost Function: • Cross-correlation between observed demand for the objects and that of other objects with a known demand load & location history. • Delay in accessing the object based on multi-queue models. • Allowing various priorities to be assigned to objects.

  7. Data Replication • Selecting the best replica from a set of replicas. • Network distance (hop counts, round-trip time, bandwidth) • Device load in delivering the best object to the client. • Different object types may also require different performance metrics: Multimedia objects vs. text objects. • Erasure-resilient system Vs. Replication system. Quantitative Comparison: • Time to failure. • Storage & Bandwidth requirements. • Replication strategies for compound objects such as MPEG-21 objects.

  8. Thanks • Prof. Ahmed H. Tewfik tewfik@ece.umn.edu EE/CSci Building,Room # 6–177 • Abed E. Lawabni lawabni@ece.umn.edu EE/CSci Building, Room # 6–120

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