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Dynamic monitoring model based on DPDK parallel communication
Cui LI, Qingkui CHEN
Journal of Computer Applications    2020, 40 (2): 335-341.   DOI: 10.11772/j.issn.1001-9081.2019081405
Abstract394)   HTML2)    PDF (846KB)(266)       Save

In order to make better use of the performance of communication system, make full use of the resources of system nodes, and improve the reliability and stability of the system, a dynamic monitoring model based on DPDK (Data Plane Development Kit) parallel communication was designed. Combined with the high speed, large traffic, strong real-time characteristics of DPDK and communication system, the model was designed for multi-node backup, data packet and control packet separation, transmitting and receiving data packets in parallel by multiple network ports, and processing data packets in parallel by multiple cores. The monitoring objects were analyzed, the data acquisition methods were researched, and a 2-layer communication protocol named DMPD was designed. The fine-grained monitoring was performed on the network ports, and the network port load information model was given. Besides, a more efficient and fair dynamic load balancing algorithm based on multi-network port was designed by combining hash function, adjustment function and dynamic load information. Experimental results show that the dynamic monitoring model can accurately detect and timely deal with the abnormality appeared in the system, and achieve the load balancing of multiple network ports.

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Data load balance model for multi-cluster grid
Yu-Tian HUANG Qingkui Chen
Journal of Computer Applications   
Abstract1739)      PDF (575KB)(1352)       Save
To improve the utilization efficiency of heterogeneous resources in Multi-Cluster Grid (MCG) composed of many computer clusters, a data load balance model was proposed. According to computation power, storage power, and communication power of query node, the performance model of query node was studied. By using data saturation, matrix of data load balance and data migration technology, system's data load balance mechanism was described. Experiment results show:The model can be fit for querying massive data.
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