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MapReduce has been widely adopted as a programming model to process big data. However, parallel jobs in MapReduce are prone to be plagued by stragglers caused by non-local tasks for two reasons: first, system logs from production clusters show that a non-local task can be two times slower than a local task, second, a job's completion time is bottlenecked by its slowest parallel tasks. As a result,...
This paper first introduces the MIMO-OFDM (Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing) system model, and then studies several classical channel estimation algorithms: LS(Least Square) algorithm and LMMSE(Liner Minimum Mean-Square Error) algorithms. Finally, based on the Jacobi iterative algorithm for solving linear equations, the original LMMSE algorithm has been improved...
Motivated by the noncoherent subspace coding approach and the low-complexity sparse coding approach to realize random linear network coding, we consider the problem of characterizing the probability of having a full rank (or nonsingular) square transfer matrix over a finite field, for which the probability of choosing the zero element is different from that of choosing a nonzero element. We found...
Currently, due to the defects in the EDA implementation and the problem that the production of PCB is independent of design, a data verification method based on the EDA design files is presented. Firstly, a heterogeneous EDA conversion interface, which can convert the design documents with different formats to intermediary files with unified format, is designed. Secondly, a rule database, in accordance...
With emerging Internet-scale open content and resource sharing, social networks, and complex cyber-physical systems, trust issues become prominent. In this paper, we propose a trust vector based scheme (VectorTrust) for aggregation of distributed trust scores. Leveraging a Bellman-Ford based algorithm for fast trust score aggregation, VectorTrust features localized and distributed concurrent communication...
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