Location aware computing is popularized and use of location information has become important due to huge application of mobile computing devices and local area wireless networks. To serve us well, mobile computing app...
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ISBN:
(纸本)9781424437092
Location aware computing is popularized and use of location information has become important due to huge application of mobile computing devices and local area wireless networks. To serve us well, mobile computing applications need to know the physical location of things so that they can record them and report them to us. Therefore in the future ubiquitous services, location estimation will be a key technology. This paper present distributed growing radial basis function neural networks (DGRBFNN) for location estimation of mobile device in wireless networks. DGRBFNN partitions the location space into clusters on the basis of availability of signals from various access points, and employ separate neural network architecture for each cluster to estimate the location of mobile device in indoor wireless networks. It provides better location estimation results than other approaches and systematically caters for unavailable signals at estimation time.
The commercial success of Cloud computing and recent developments in Grid computing have brought platform virtualization technology into the field of high performance computing. Virtualization offers both more flexibi...
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ISBN:
(纸本)9780769539393
The commercial success of Cloud computing and recent developments in Grid computing have brought platform virtualization technology into the field of high performance computing. Virtualization offers both more flexibility and security through custom user images and user isolation. In this paper, we deal with the problem of distributing virtual machine (VM) images to a set of distributed compute nodes in a Cross-Cloud computing environment, i.e., the connection of two or more Cloud computing sites. Ambrust et al. [3] identified data transfer bottlenecks as one of the obstacles Cloud computing has to solve to be a commercial success. Several methods for distributing VM images are presented, and optimizations based on copy on write layers are discussed. The performance of the presented solutions and the security overhead is evaluated.
By analyzing the data transmission Collisions for wireless sensor networks, due to the shortage of energy efficiency and latency in MAC protocol, we propose a distributed TDMA scheduling protocol based on coloring alg...
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In this paper, aiming the feature of multi-core high performance computer system architecture containing the shared-memory and distributed memory structures, the research and implementation on MPI/OpenMP hybrid parall...
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Data grids support distributed data-intensive applications that need to access massive datasets stored around the world. Ensuring efficient access to such datasets is hindered by the high latencies of wide-area networ...
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Previous work in the research field of Smart Camera (SC) networks intensively focused on algorithms for obtaining vision graphs in distributed camera networks consisting of static camera nodes. Each edge of the vision...
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Algorithms for real-time parallel processing of an audio signal in large-scale digital audio distribution networks, implemented on personal computer platform, are compared in this paper from the performance point of v...
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Reputation aggregation methods in unstructured Peer-to-Peer(P2P) networks are used to evaluate the trustworthiness of participating peers and to combat malicious peer's behaviors. In the reputation aggregation met...
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The proceedings contain 28 papers. The topics discussed include: optimizing the reliability of pipelined applications under throughput constraints;decomposition based algorithm for state prediction in large scale dist...
ISBN:
(纸本)9780769541204
The proceedings contain 28 papers. The topics discussed include: optimizing the reliability of pipelined applications under throughput constraints;decomposition based algorithm for state prediction in large scale distributed systems;operational semantics of the Marte repetitive structure modeling concepts for data-parallel applications design;butterfly automorphisms and edge faults;cost performance analysis in multi-level tree networks;pretty good accuracy in matrix multiplication with GPUs;exploiting the power of GPUs for multi-gigabit wireless baseband processing;parallel cycle based logic simulation using graphics processing units;practical uniform peer sampling under churn;improving grid fault tolerance by means of global behavior modeling;toward a reliable distributed data management system;energy minimization on thread-level speculation in multicore systems;and resource-aware compiler prefetching for many-cores.
The strong interests of scientific communities in the grid and mobile computing lead to research in mobile grid computing. The main goal of grid computing is to aggregate the power of widely distributed resources whic...
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