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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 Layered Bandwidth Allocation for Multicasting of Hierarchically Encoded Sources Saswati Sarkar; Leandros Tassiulas In: http://www.ee.umd.edu/~leandros/papers/mfdton.ps (2000) BASE Show details 2 Fair Allocation of Discrete Bandwidth Layers in Multicast Networks Saswati Sarkar; Leandros Tassiulas; Ros Tassiulas In: http://www.ieee-infocom.org/2000/papers/458.ps (2000) BASE Show details 3 Fair Allocation of Discrete Bandwidth Layers in Multicast Networks Saswati Sarkar; Leandros Tassiulas In: http://www.seas.upenn.edu:8080/~swati/mfdshort.ps (2000) BASE Show details 4 Fair Allocation of Utilities in Multirate Multicast Networks Saswati Sarkar; Leandros Tassiulas; Ros Tassiulas In: http://www.ee.umd.edu/~leandros/papers/allerton99a.ps (1999) BASE Show details 5 Fair Allocation of Discrete Bandwidth Layers in Multicast Networks Saswati Sarkar; Leandros Tassiulas; Ros Tassiulas In: http://www.isr.umd.edu/TechReports/ISR/1999/TR_99-43/TR_99-43.pdf (1999) BASE Show details 6 Fair Allocation of Utilities in Multirate Multicast Networks Saswati Sarkar; Leandros Tassiulas In: http://www.seas.upenn.edu:8080/~swati/allerton.ps (1999) BASE Show details 7 Optimal Overload Response in Sensor Networks Leonidas Georgiadis; Leandros Tassiulas In: http://genesis.ee.auth.gr/georgiadis/english/Publications/JournalPapers/BalancedOverload_IT.pdf Abstract: A single commodity network that models the information flow in an arbitrary topology sensor field that collects and forwards information to a backbone through certain designated gateway nodes is considered. Resilient operation in overload stress situations caused by unpredictable traffic or topology variations is considered. A uid model is adopted where super flows model traffic forwarding and backlog formations at the network level. Quantitative performance metrics of the overload including throughput, lexicographic minimization, most balanced allocation and amount of lost traffic due to buffer over flow are considered to capture the information loss process due to over flow in the network. Optimal super flows with respect to these metrics are characterized and a distributed asynchronous algorithm that computes such super flows is given. The characterization of the optimal super flow amounts to obtaining a structural decomposition of the network in a sequence of disjoint subregions with decreasing overload such that traffic flows only from regions of higher overload to regions of lower overload. Keyword: Distributed Algorithms; Index Terms — Network Control; Lexicographic Optimization; Lost Traf c Minimization; Most Balanced Allocation; Overload Response; Sensor Networks; Throughput Maximization URL: http://genesis.ee.auth.gr/georgiadis/english/Publications/JournalPapers/BalancedOverload_IT.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.65.4358 BASE Hide details

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