Collaborative Computing: Networking, Applications and Worksharing: 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11–13, 2017, Proceedings
Conference Proceeding
(2018)
Collaborative Computing: Networking, Applications and Worksharing: 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11–13, 2017, Proceedings. In I. Romdhani, L. Shu, H. Takahiro, Z. Zhou, T. Gordon, & D. Zeng (Eds.), Collaborative Computing: Networking, Applications and Worksharinghttps://doi.org/10.1007/978-3-030-00916-8
This book constitutes the thoroughly refereed proceedings of the 13th International Conference on Collaborative Computing: Networking, Applications, and Worksharing, Collabora...
A Dynamic Power Tuning for the Constrained Application Protocol of Internet of Things
Conference Proceeding
Qasem, M., Al-Dubai, A., Romdhani, I., & Yassien, M. B. (2015)
A Dynamic Power Tuning for the Constrained Application Protocol of Internet of Things. In I. C. Society, & I. C. Society (Eds.), 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, (1118-1122). https://doi.org/10.1109/cit/iucc/dasc/picom.2015.167
Constrained application protocol (CoAP) has been designed for M2M and IoT applications. The resource directory (RD) in CoAP requires periodical updates by other nodes. However...
ATP: Adaptive Tuning Protocol for Service Discovery in Internet of Things
Conference Proceeding
Qasem, M., Al-Dubai, A., Imed, R., & Yassien, M. B. (2015)
ATP: Adaptive Tuning Protocol for Service Discovery in Internet of Things. In ICEMIS '15 Proceedings of the The International Conference on Engineering & MIS 2015https://doi.org/10.1145/2832987.2833058
Energy is a precious resource in Internet of Things (IoT) especially with battery operated nodes, the overhead that consumes the battery power of the sensor nodes is a fundame...
A Loosely-coupled Semantic Model for Efficient Cloud Service Search and Retrieval.
Conference Proceeding
Fang, D., Liu, X., & Romdhani, I. (2015)
A Loosely-coupled Semantic Model for Efficient Cloud Service Search and Retrieval. In W. Zimmerman, Y. W. Lee, & C. Reich (Eds.), Cloud Computing 2014: the Fifth International Conference on Cloud Computing, Grids and Virtualization, 6-11
As cloud services propagate along with the rapid development of cloud computing, issues raised in service selection and retrieval processes become increasingly critical. While...