We present a heterogeneous parallelcomputing system that combines a traditional computer cluster with a broadband network of embedded set-top box (STB) devices. As multiple service operators (MSO) manage millions of ...
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ISBN:
(纸本)9781450300445
We present a heterogeneous parallelcomputing system that combines a traditional computer cluster with a broadband network of embedded set-top box (STB) devices. As multiple service operators (MSO) manage millions of these devices across wide geographic areas, the computational power of such a massively-distributed embedded system could be harnessed to realize a centrally-managed, energy-efficient parallel processing platform that supports a variety of application domains which are of interest to MSOs, consumers, and the high-performance computing research community. We investigate the feasibility of this idea by building a prototype system that includes a complete head-end cable system with a DOCSIS-2.0 network combined with an interoperable implementation of a subset of Open MPI running on the STB embedded operating system. We evaluate the performance and scalability of our system compared to a traditional cluster by solving approximately various instances of the Multiple Sequence Alignment bioinformatics problem, while the STBs continue simultaneously to operate their primary functions: decode MPEG streams for television display and run an interactive user interface. Based on our experimental results and given the technology trends in embedded computing we argue that our approach to leverage a broadband network of embedded devices in a heterogeneous distributed system offers the benefits of bothparallelcomputing clusters and distributed Internet computing.
In recent years, heterogeneous parallel system have become a focus research area in high performance computing field. Generally,in a heterogeneous parallel system, CPU provides the basic computing environment and spec...
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Secure distributed storage systems can achieve data security and fault resilience by providing encrypted and redundant data segments across multiple computing nodes. However, such systems might face severe performance...
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One among the most influential and popular data mining methods is the k-Means algorithm for cluster analysis. Techniques for improving the efficiency of k-Means have been largely explored in two main directions. the a...
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the proceedings contain 48 papers. the topics discussed include: advance simulation and optimization of high power InGaN/GaN laser diodes;analytical studies of laser parameters for ranging and illuminating satellites ...
ISBN:
(纸本)9781424499243
the proceedings contain 48 papers. the topics discussed include: advance simulation and optimization of high power InGaN/GaN laser diodes;analytical studies of laser parameters for ranging and illuminating satellites from H-SLR station;enhanced optical transport network standards;transient thermal analysis of lnGaN/GaN laser diodes;design of high-sensitivity plasmonics-assisted GaAs metal-semiconductor-metal photodetectors;design and implementation of parallel JiST to support distributed wireless network simulation;LED spectrum slicing for ZCC SAC-OCDMA coding system;free-space and fiber-optic polarimeters;investigation of the effects of network density on the optimal number of clusters in hierarchical wireless sensor networks (WSNs);on the effectiveness of using genetic algorithm for spectrum allocation in cognitive radio networks;and tackling cloud security issues and forensics model.
this paper quantitatively studies the trace effects to the performance and accuracy of the BigSim Emulator, a scalable parallel emulator for large-scale computers. To assess the accuracy effect we modify the emulator ...
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In this paper we consider a network of distributed sensors which simultaneously measure a physical parameter of interest, subject to a certain sensing error probability. the sensed information at each of such nodes is...
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this paper addresses the optimization of parallel simulators for large-scale parallel systems and applications. Such simulators are often based on parallel discrete event simulation with conservative or optimistic pro...
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In distributed virtual environments (DVEs), maintaining a consistent view of the virtual world among all users is a primary task. Due to the resource limitations such as network capacity and computational power, the c...
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