Abstract
The project CONTENT proposes a next generation ubiquitous converged infrastructure to support Cloud and mobile Cloud computing services. The proposed infrastructure facilitates interconnection of fixed and mobile end users with computational resources through a heterogeneous network integrating optical metro and wireless access networks. In this paper, we present the CONTENT converged network Infrastructure and layered architecture which deploys crossdomain virualization as a key technology. In accordance to the CONTENT proposal this paper also presents a novel virtual infrastructure planning scheme that takes a holistic approach considering jointly the network and computational resources. © VDE VERLAG GMBH, Berlin, Offenbach, Germany.
Original language | English |
---|---|
Pages | 323-329 |
Number of pages | 7 |
Publication status | Published - 2014 |
Bibliographical note
Conference code: 109362Export Date: 16 March 2016
References: Rappa, M., The utility business model and the future of computing systems (2004) IBM Systems Journal, 43 (1), pp. 32-42; (2013) Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2012-2017, , White Paper; Dinh, H., Lee, C., Niyato, D., Wang, P., A survey of mobile cloud computing: Architecture, applications, and approaches (2011) Wirel. Commun. Mob. Comput, , Oct; Satyanarayanan, M., The case for VM-based cloudlets in mobile computing (2009) IEEE Perv. Comp., 8 (4), pp. 14-23; Mun, K., Mobile cloud computing challenges TechZine Magazine, , http://www2.alcatel-lucent.com/techzine/mobilecloud-computing-challenges; http://www.gogrid.comhttp://www.flexiscale.comTzanakaki, A., Virtualization of heterogeneous wirelessoptical network and IT infrastructures in support of cloud and mobile cloud services (2013) IEEE Communications Magazine, 51 (8), pp. 155-161. , Aug; CONTENT Deliverable D4.1, (2013) Definition of the Virtualization Strategy and Design of Domain Specific Resources/services Virtualization in CONTENT; MAINS Project Website, , http://www.ist-mains.eu; Giatsios, D., Apostolaras, A., Korakis, T., Tassiulas, L., Methodology and tools for measurements on wireless testbeds: The nitos approach (2013) Measurement Methodology and Tools, 7586, pp. 61-80. , LNCS, Springer Berlin Heidelberg; Bruno, R., Conti, M., Pinizzotto, A., A queuing modeling approach for load-aware route selection in heterogeneous mesh networks (2009) Proc. of IEEE WoWMoM; Baskett, F., Chandy, K.M., Muntz, R.R., Palacios, F.G., Open closed, and mixed networks of queues with different classes of customers (1975) J. ACM, 22 (2), pp. 248-260; Davis, Z., Power Consumption and Cooling in the Data Center: A Survey, , http://www.greenbiz.com; http://www.oracle.com/us/industries/healthare/058454.pdf?ssSourceSiteId=ocomjpKumar, K., Lu, Y.-H., Cloud computing for mobile users Computer, PP (99), p. 1. , 1; Auer, G., Giannini, V., Cellular energy efficiency evaluation framework (2011) Proc. of IEEE VTC; 3GPP TS 23.203, Technical Specification Group Services and System Aspects
Keywords
- Energy efficiency
- Mobile Cloud computing
- Queuing theory
- Virtual infrastructure planning converged infrastructures
- Computation theory
- Heterogeneous networks
- Network layers
- Queueing theory
- Ubiquitous computing
- Computational resources
- Converged networks
- Holistic approach
- Key technologies
- Layered architecture
- Virtual Infrastructure Planning
- Wireless access networks
- Mobile cloud computing