Satellite resource description and search based on hybrid granularity

In the satellite networks, satellite resources characterized by a heterogeneous network cause the problem of the absence of the unified organizational planning and its description and handling. A hybrid granularity-based resource description method was proposed in this paper, which divided understratum resources into four categories. They were processor resource, orbit resource, communication resource, and load resource. The resource attribute of each category was defined and described fine-granularity by RDF. In order to improve the efficiency of resource search, it sacrificed partial storage space of satellite nodes to cache the index information of other nodes resources in each node, and the nodes can dynamically maintain resource indexes. As a result, the index of resource was established in the satellite networks, so it can achieve resource description and faster search in satellite networks. The simulation results indicate that hybrid granularity-based resource search is better than flood_request algorithm and CAR in successful search rate and response time.

[1]  K. Sathyalakshmi,et al.  An innovative performance analysis of multi attribute DHT queries in resource discovery by H-LORM techniques , 2016, 2016 International Conference on Emerging Trends in Engineering, Technology and Science (ICETETS).

[2]  Emmanuel S. Pilli,et al.  Research issues in RDF management systems , 2016, 2016 International Conference on Emerging Trends in Communication Technologies (ETCT).

[3]  Corrado Santoro,et al.  Decentralised Resource Finding and Allocation in Cloud Federations , 2014, 2014 International Conference on Intelligent Networking and Collaborative Systems.

[4]  Hiroyuki Fujita,et al.  A three-ports structure for electrostatic energy-harvester to lower constraint force and to enhance fast storage , 2017, 2017 19th International Conference on Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS).

[5]  Chang Ye,et al.  Energy distribution and security control of hierarchical structure energy storage system , 2017, 2017 23rd International Conference on Automation and Computing (ICAC).

[6]  Liang Chen,et al.  Co-Clustering WSDL Documents to Bootstrap Service Discovery , 2014, 2014 IEEE 7th International Conference on Service-Oriented Computing and Applications.