Research on Hybrid Distributed Computing System Based on Embedded System
نویسندگان
چکیده
منابع مشابه
Design and Performance of Firewall System Based on Embedded Computing
Conventional firewall has failed to resist the attack from the inside network and distributed firewall excessively relies on the host operation system, therefore embedded firewall become the focus of the current network security research. The paper discusses the design and implementation of firewall system based on embedded computing. In addition, it presents architecture of embedded firewall, ...
متن کاملHybrid based Self-Test Solution for Embedded System on Chip
Microcontrollers have become a widely accepted architecture for highly complex embedded systems on a single chip (SoC). It consists of deeply embedded heterogeneous components with poor accessibility makes their testing process a difficult task using hardware based self-test (HBST). Software-based self-test (SBST) is considered to be a promising testing technology for these systems. Almost ever...
متن کاملA Hybrid Machine Translation System Based on a Monotone Decoder
In this paper, a hybrid Machine Translation (MT) system is proposed by combining the result of a rule-based machine translation (RBMT) system with a statistical approach. The RBMT uses a set of linguistic rules for translation, which leads to better translation results in terms of word ordering and syntactic structure. On the other hand, SMT works better in lexical choice. Therefore, in our sys...
متن کاملResearch on Personalized Behaviors Recommendation System Based on Cloud Computing
Data scale becomes a bottleneck in user behaviors analysis, many data mining algorithms become Inefficient slow in this circumstances. This paper explores an effective approach to mine latent knowledge in large scale data, which combines the basal principles of association rules, MapReduce model and Hbase database. First, general principles and algorithm of association rules are given. Second, ...
متن کاملHybrid Recommender System Based on Variance Item Rating
K-nearest neighbors (KNN) based recommender systems (KRS) are among the most successful recent available recommender systems. These methods involve in predicting the rating of an item based on the mean of ratings given to similar items, with the similarity defined by considering the mean rating given to each item as its feature. This paper presents a KRS developed by combining the following app...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Grid and Distributed Computing
سال: 2016
ISSN: 2005-4262,2005-4262
DOI: 10.14257/ijgdc.2016.9.11.08