Smart Computing and Communication: First International by Meikang Qiu

By Meikang Qiu

This e-book constitutes the lawsuits of the 1st overseas convention on clever Computing and verbal exchange, SmartCom 2016, held in Shenzhen, China, in December 2016. The fifty nine papers provided during this quantity have been conscientiously reviewed and chosen from 210 submissions.
The convention specializes in either clever computing and communications fields and goals to assemble contemporary educational paintings to enhance the study and sensible applications.

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Additional resources for Smart Computing and Communication: First International Conference, SmartCom 2016, Shenzhen, China, December 17-19, 2016, Proceedings

Example text

Efficiency-aware workload optimizations of heterogenous cloud computing for capacity planning in financial industry. In: The 2nd IEEE International Conference on Cyber Security and Cloud Computing, pp. 1–6. IEEE, New York, USA (2015) Understanding Networking Capacity Management in Cloud Computing 41 20. : Energy-aware optimal task assignment for mobile heterogeneous embedded systems in cloud computing. In: 2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud), pp.

Multimed. Comput. Commun. Appl. cn Abstract. General online teaching system cannot afford the huge information data exchange, held back in the modern teaching method and technology support. This paper aims at establishing the structure of the cloud learning community on big data. The Oracle server on cloud computing is selected to provide the data processing support. Based on the investigation on the students’ browse online and the homework completion situation, the existing teaching resource is integrated, and the frame work of the cloud learning community on big data is established to improve the communication and integration.

When a path is chosen by more ants, it will keep more pher‐ omone. This forms a positive feedback mechanism. Through such positive feedback mechanism, the ants can find its nest to food source of the shortest path finally. In particular, when there is an obstacle between the ants and food source, the ants can not A Hybrid Algorithm Based on PSO and ACO Algorithm 25 only pass around the obstacles, and they can find the shortest path after a period of time of the positive feedback through the changes of the pheromone in different paths.

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