摘要
多维异构的情况下,完全副本的存储方式网络传输负担重,单个节点的能耗消耗大,可用性低。针对于此,该文提出了两种适合移动节点的存储模型:1)交叉存储策略;2)比例存储策略。模型中移动节点不再存储数据的完全副本,同时根据移动节点的带宽差异性的特点,将存储和并行传输统筹考虑,降低速度缓慢节点对于整体性能的影响。实验表明,该文并行传输模型相比传统的传输算法,既聚集了较大的带宽,也节省了存储空间。
In the case of multi-dimensional heterogeneous networks, the full copy of storage data caused a heavy burden on the network and a single node＇s huge energy consumption, thus, the availability of system is very low. In view of this, the paper proposes two storage models for mobile nodes： the cross storage strategy and the storage strategy according to the proportion. In this model, the mobile node no longer stores the full copy of the data, and at the same time, according to the characteristics of the bandwidth of mobile nodes, the storage and parallel transmission are considered together to reduce the impact of the slow speed of nodes on the performance of the whole. Experiments show that the proposed parallel transmission model is more efficient than the traditional transmission algorithm in both bandwidth utility and storage space saving.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2016年第1期113-117,134,共6页
Journal of University of Electronic Science and Technology of China
基金
国家自然科学基金(61073042)
黑龙江省教育厅项目(12531189)
中国博士后基金面上项目(2014M561330)
关键词
云计算
交叉存储
移动节点
并行传输
cloud computing
cross storage
mobile node
parallel transmission
作者简介
姜春茂（1972-），男，博士，教授，主要从事移动P2P、云计算、嵌入式计算方面的研究．
