Abstract
Cloud computing has a potential to solve scalability issue in dynamic spectrum request response (DSR2) wireless networking. Radio frequency (RF) spectrum is a pervasive resource whose optimal utilisation requires efficient management techniques to allow a sustainable growth of innovative wireless communication technologies. Multi-tenancy cloud hosting architectures are considered to be prime enabler to a concept of spectrum resource-as-a-service (SRaaS) for DSR2 networks. Such architectures allows a single instance of software application to be delivered as a service to multiple users (tenants) requesting different services from different or same locations as opposed to running multiple instances of same software applications to each tenant. This chapter discusses a proposed conceptual framework for managing RF spectrum resources in dynamic spectrum request response wireless networks.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Parts of this chapter appeared in WCMCS 2013, October 4–6, Hammamet, Tunisia. This version presents a more refined SRaaS concept.
References
Bellavista, P.: Pervasive computing at scale: challenges and research directions. IEEE Sens. 58, 639–642 (2011)
Mfupe, L.P., Montsi, L, Mekuria, F.: Spectrum databases-as-a service for broadband innovation and efficient spectrum utilization. In: Cognitive Radio and Opportunistic TVWS Broadband Wireless Networks for Sustainable Broadband Provision in Emerging Economies, International Conference on Cloud Computing and Multimedia (ICCCM’ 2013) (2013)
Saleh, E., Shabaani, N and Meinel, C.: A framework for migrating traditional web applications into multi-tennant SaaS. In: The second International Conference on Advanced Communications and Computation (INFOCOMP 2012), pp. 100–104 (2012)
Weiss, M., Delaere, S., Lehr, W.: Sensing as a service: an exploration into practical implementation of DSA. In: IEEE New Frontiers in Dynamic Spectrum Access Networks (DySPAN 2010), pp. 1–8 (2010)
Mfupe, L., Montsi, L., Mekuria, F., Mzyece, M.: Geo-location White Space Spectrum Databases: Review of Models and Design of a Dynamic Spectrum Access Coexistence Planner and Manager. In: Mishra, A.K., Johnson, D.L. (eds.) White Space Communication. Signals and Communication Technology, pp. 153–194. Springer, Heidelberg (2015)
Shvachko, B., Kuang, H., Radia, S.: Sensing as a service: the hadoop distributed file system. In: IEEE Mass Storage Systems and Technologies (MSST 2010), pp. 1–10 (2010)
Escriva, R., Wong, B., Sirer, E.: Hyperdex: a distributed searchable key-value store. ACM SIGCOMM Comput. Commun. Rev. 42, 25–36 (2012)
Simmhan, Y., Amman, S., Kumbhare, A., Rongyang L., Stvens, S., Qunzhi Z., Prassana, V.: Cloud-based software platform for big data analytics in smart grids. IEEE J. Comput. Sci. Eng. 15, 38–47 (2013)
Mwangoka, J., Marquese, P., Rodriguese, J.: Exploiting TV white spaces in Europe: the COGEU approach. In: IEEE New Frontier in Dynamic Spectrum Access Networks (DySPAN 2011), pp. 608–612 (2011)
Wu, S., Chao, H., Ko, C., Mo, S., Jiang, C., Li, T., Cheng, C., Liang, C.: A cloud model and concept prototype for cognitive radio networks. J. IEEE Wireless Commun. 19, 49–58 (2012)
Aulbach, S., Grust, T., Jacobs, D., Kemper, A., Rittinger, J.: Multi-tenant databases for software as a service: schema-mapping techniques. In: International Conference on Management of Data (SIGMOD 2008), pp.1195–1206 (2008)
Naudé, A., Badenhorst, W., Zietsman, L., Van Huyssteen, E., Maritz, J.: Geospatial Analysis Platform – Version 2: Technical overview of the mesoframe methodology and South African Geospatial Analysis Platform. CSIR Report number: CSIR/BE/PSS/IR/2007/0104/B (2007)
Acknowledgments
The authors wish to thankfully acknowledge the CSIR and TUT for their continuous financial and material support.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Mfupe, L.P., Montsi, L., Mekuria, F. (2015). Spectrum Resource-as-a-Service: Cloud Architecture Framework for Dynamic Spectrum Request Response Networks. In: Nungu, A., Pehrson, B., Sansa-Otim, J. (eds) e-Infrastructure and e-Services for Developing Countries. AFRICOMM 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 147. Springer, Cham. https://doi.org/10.1007/978-3-319-16886-9_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-16886-9_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16885-2
Online ISBN: 978-3-319-16886-9
eBook Packages: Computer ScienceComputer Science (R0)