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Title: MINING FILE DOWNLOADING TIME IN STOCHASTIC PEER TO PEER NETWORKS-NETWORKING
Page Link: MINING FILE DOWNLOADING TIME IN STOCHASTIC PEER TO PEER NETWORKS-NETWORKING -
Posted By: swatigulati007
Created at: Friday 06th of October 2017 02:53:42 PM
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Abstract:
MINING FILE DOWNLOADING TIME IN STOCHASTIC PEER TO PEER NETWORKS-NETWORKING

Abstract: On-demand routing protocols use route caches to make routing decisions. Due to mobility, cached routes easily become stale. To address the cache staleness issue, prior work in DSR used heuristics with ad hoc parameters to predict the lifetime of a page link or a route. However, heuristics cannot accurately estimate timeouts because topology changes are unpredictable. In this paper, we propose proactively disseminating the broken page link inform ....etc

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Title: Towards Optimal Color Image Coding using Demosaicing
Page Link: Towards Optimal Color Image Coding using Demosaicing -
Posted By: alok
Created at: Friday 06th of October 2017 03:03:04 PM
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Towards Optimal Color Image Coding using Demosaicing
Abstract We introduce an optimal approach to color image compression using demosaicing. Accordingly, we propose an efficient algorithm for color image coding. In the encoder, a
mosaic of the primary colors is encoded instead of the full color image. This mosaic is considered as four different color channels that are compressed using subband transform coders. In the decoder, a demosaicing algorithm is applied to the decompressed channels to reconstruct the ....etc

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Title: A near-optimal multi cast scheme for mobile ad hoc networks using a hybrid genetic a
Page Link: A near-optimal multi cast scheme for mobile ad hoc networks using a hybrid genetic a -
Posted By: varun
Created at: Thursday 17th of August 2017 06:34:53 AM
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A near-optimal multi cast scheme for mobile ad hoc networks using a hybrid genetic algorithm
Abstract: Multi cast routing is an effective way to communicate among multiple hosts in a network. It outperforms the basic broadcast strategy by sharing resources along general links, while sending information to a set of predefined multiple destinations concurrently. However, it is vulnerable to component failure in ad hoc network due to the lack of redundancy, multiple paths and multicast tree structure. Tree graph optimization problems (GOP) are ....etc

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Title: Local Construction of Near-Optimal Power Spanners for Wireless Ad Hoc Networks
Page Link: Local Construction of Near-Optimal Power Spanners for Wireless Ad Hoc Networks -
Posted By: jonah7
Created at: Friday 06th of October 2017 03:01:08 PM
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Local Construction of Near-Optimal Power Spanners for Wireless Ad Hoc Networks
Abstract:
We present a local distributed algorithm that, given a wireless ad-hoc network modeled as a unit disk graph U in the plane, constructs a planar power spanner of U whose degree is bounded by k and whose stretch factor is bounded by 1+ (2 Sin /k)^ , where k>=10 is an integer parameter and is the power exponent constant. For the same degree bound k, the stretch factor of our algorithm significantly improve ....etc

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Title: Minimizing File Download Time in Stochastic peer-to-peer networks
Page Link: Minimizing File Download Time in Stochastic peer-to-peer networks -
Posted By: [email protected]
Created at: Thursday 17th of August 2017 05:42:06 AM
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Title: minimising file downloading time in stochastic peer-to-peer networks
Page Link: minimising file downloading time in stochastic peer-to-peer networks -
Posted By: jaijan
Created at: Thursday 17th of August 2017 08:03:35 AM
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Title: MINING FILE DOWNLOADING TIME IN STOCHASTIC PEER TO PEER NETWORKS
Page Link: MINING FILE DOWNLOADING TIME IN STOCHASTIC PEER TO PEER NETWORKS -
Posted By: samarora4u
Created at: Thursday 05th of October 2017 04:42:55 AM
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MINING FILE DOWNLOADING TIME IN STOCHASTIC PEER TO PEER NETWORKS
Abstract: On-demand routing protocols use route caches to make routing decisions. Due to mobility, cached routes easily become stale. To address the cache staleness issue, prior work in DSR used heuristics with ad hoc parameters to predict the lifetime of a page link or a route. However, heuristics cannot accurately estimate timeouts because topology changes are unpredictable. In this paper, we propose proactively disseminating the broken page link information to the nodes that h ....etc

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Title: Minimizing File Download Time in Stochastic peer to peer networks
Page Link: Minimizing File Download Time in Stochastic peer to peer networks -
Posted By: [email protected]
Created at: Friday 06th of October 2017 02:59:49 PM
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ABSTRACT
The peer-to-peer (P2P) file-sharing applications are becoming increasingly popular and account for more than 70% of the Internet's bandwidth usage. Measurement studies show that a typical download of a file can take from minutes up to several hours depending on the level of network congestion or the service capacity fluctuation. In this paper, we consider two major factors that have significant impact on average download time, namely, the spatial heterogeneity of service capacities in different source ....etc

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Title: Minimizing File Download Time in Stochastic peer-to-peer networks
Page Link: Minimizing File Download Time in Stochastic peer-to-peer networks -
Posted By: Aditi
Created at: Thursday 05th of October 2017 04:56:09 AM
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MINIMIZING FILE DOWNLOAD TIME IN STOCHASTIC PEER-TO-PEER NETWORKS

ABSTRACT:


The peer-to-peer (P2P) file-sharing applications are becoming increasingly popular and account for more than 70% of the Internet s bandwidth usage. Measurement studies show that a typical download of a file can take from minutes up to several hours depending on the level of network congestion or the service capacity fluctuation. Here we consider two major factors that have significant impact on average download time, namely, the spatial heterogeneity of service ca ....etc

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Title: On finding paths and flows in multicriteria stochastic and time-varying networks
Page Link: On finding paths and flows in multicriteria stochastic and time-varying networks -
Posted By: minumol
Created at: Thursday 17th of August 2017 05:27:14 AM
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This dissertation addresses two classes of network flow problems in networks with multiple, stochastic and time-varying attributes. The first problem class is concerned with providing routing instructions with the ability to make updated decisions as information about travel conditions is revealed for individual travelers in a transportation network. Three exact algorithms are presented for identifying all or a subset of the adaptive Pareto-optimal solutions with respect to the expected value of each criterion from each node to a desired destin ....etc

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