Optimized IP-CANs to support best charged IMS scenarios

conference paper Published in Personal, Indoor and Mobile Radio Communications, 2009 IEEE 20th International Symposium by IEEE.The pricing and charging mechanisms used in Next Generation Network (NGN) deployments will influence the profitability of network operators. NGNs present an opportunity for the success of service delivery platforms designed for IP multimedia communications, like the IP Multimedia Subsystem (IMS). Moreover, they present a platform for the delivery of a multitude of applications and services to users with different expectations and budgets. Although usage-based charging schemes are more meaningful, some recent successful Internet-based applications and services have attracted widespread usage due to enforcement of flat-rate pricing. The choice of a pricing scheme often has a one-to-one relation to the access network technology and the quality of service guarantee. Flat-rate pricing may easily be associated with best effort transport. This implies that some users opt for services without QoS guarantee when favoured by the pricing methodology. This paper explores scenarios where services with different QoS requirements available to users with varying pricing preferences can be provided over a set of IP connection access networks (IP-CANs) of the IMS.We explore the use of different pricing schemes for different IP-CANs of the IMS. We perform testbed evaluations and present results depicting the income patterns of networks enforcing different pricing and charging schemes for VoIP and IPTV services. Moreover, we emphasize the use of simplified pricing schemes on communication networks.The pricing and charging mechanisms used in Next Generation Network (NGN) deployments will influence the profitability of network operators. NGNs present an opportunity for the success of service delivery platforms designed for IP multimedia communications, like the IP Multimedia Subsystem (IMS). Moreover, they present a platform for the delivery of a multitude of applications and services to users with different expectations and budgets. Although usage-based charging schemes are more meaningful, some recent successful Internet-based applications and services have attracted widespread usage due to enforcement of flat-rate pricing. The choice of a pricing scheme often has a one-to-one relation to the access network technology and the quality of service guarantee. Flat-rate pricing may easily be associated with best effort transport. This implies that some users opt for services without QoS guarantee when favoured by the pricing methodology. This paper explores scenarios where services with different QoS requirements available to users with varying pricing preferences can be provided over a set of IP connection access networks (IP-CANs) of the IMS.We explore the use of different pricing schemes for different IP-CANs of the IMS. We perform testbed evaluations and present results depicting the income patterns of networks enforcing different pricing and charging schemes for VoIP and IPTV services. Moreover, we emphasize the use of simplified pricing schemes on communication networks

Unsplittable Load Balancing in a Network of Charging Stations Under QoS Guarantees

The operation of the power grid is becoming more stressed, due to the addition of new large loads represented by Electric Vehicles (EVs) and a more intermittent supply due to the incorporation of renewable sources. As a consequence, the coordination and control of projected EV demand in a network of fast charging stations becomes a critical and challenging problem. In this paper, we introduce a game theoretic based decentralized control mechanism to alleviate negative impacts from the EV demand. The proposed mechanism takes into consideration the non-uniform spatial distribution of EVs that induces uneven power demand at each charging facility, and aims to: (i) avoid straining grid resources by offering price incentives so that customers accept being routed to less busy stations, (ii) maximize total revenue by serving more customers with the same amount of grid resources, and (iii) provide charging service to customers with a certain level of Quality-of-Service (QoS), the latter defined as the long term customer blocking probability. We examine three scenarios of increased complexity that gradually approximate real world settings. The obtained results show that the proposed framework leads to substantial performance improvements in terms of the aforementioned goals, when compared to current state of affairs.Comment: Accepted for Publication in IEEE Transactions on Smart Gri

Dynamic pricing for 3G networks using admission control and traffic differentiation

Published in Networks, 2005. Jointly held with the 2005 IEEE 7th Malaysia International Conference on Communication., 2005 13th IEEE International Conference on (Volume:2 )In the pricing of network resources, network operators and service providers aim at facilitating the use of the limited network resources in a manner that would encourage responsibility among the end-users and lead to the maximisation of profits. The optimum tariff rates used for charging the mobile services are affected by factors like the market forces affecting the industry. However, the tariff rates generally increase with the achieved QoS level. Next generation networks will offer higher QoS, hence users need incentives to utilise the enhanced capacity. In this paper, we propose a pricing approach that introduces service profiles into a DiffServ-enabled network, whose prices and QoS levels depend on the degree of congestion in the network. The use of the UMTS connection admission control to support the proposed pricing scheme is explored. An emulation testbed is used to evaluate the scheme.In the pricing of network resources, network operators and service providers aim at facilitating the use of the limited network resources in a manner that would encourage responsibility among the end-users and lead to the maximisation of profits. The optimum tariff rates used for charging the mobile services are affected by factors like the market forces affecting the industry. However, the tariff rates generally increase with the achieved QoS level. Next generation networks will offer higher QoS, hence users need incentives to utilise the enhanced capacity. In this paper, we propose a pricing approach that introduces service profiles into a DiffServ-enabled network, whose prices and QoS levels depend on the degree of congestion in the network. The use of the UMTS connection admission control to support the proposed pricing scheme is explored. An emulation testbed is used to evaluate the scheme

On the Economics of Cloud Markets

Cloud computing is a paradigm that has the potential to transform and revolutionalize the next generation IT industry by making software available to end-users as a service. A cloud, also commonly known as a cloud network, typically comprises of hardware (network of servers) and a collection of softwares that is made available to end-users in a pay-as-you-go manner. Multiple public cloud providers (ex., Amazon) co-existing in a cloud computing market provide similar services (software as a service) to its clients, both in terms of the nature of an application, as well as in quality of service (QoS) provision. The decision of whether a cloud hosts (or finds it profitable to host) a service in the long-term would depend jointly on the price it sets, the QoS guarantees it provides to its customers, and the satisfaction of the advertised guarantees. In this paper, we devise and analyze three inter-organizational economic models relevant to cloud networks. We formulate our problems as non co-operative price and QoS games between multiple cloud providers existing in a cloud market. We prove that a unique pure strategy Nash equilibrium (NE) exists in two of the three models. Our analysis paves the path for each cloud provider to 1) know what prices and QoS level to set for end-users of a given service type, such that the provider could exist in the cloud market, and 2) practically and dynamically provision appropriate capacity for satisfying advertised QoS guarantees.Comment: 7 pages, 2 figure

Network Non-neutrality Debate: An Economic Analysis

This paper studies the economic utilities and the quality of service (QoS) in a two-sided non-neutral market where Internet service providers (ISPs) charge content providers (CPs) for the content delivery. We propose new models on a two-sided market which involves a CP, an ISP, end users and advertisers. The CP may have either the subscription revenue model (charging end users) or the advertisement revenue model (charging advertisers). We formulate the interactions between the ISP and the CP as a noncooperative game problem for the former and an optimization problem for the latter. Our analysis shows that the revenue model of the CP plays a significant role in a non-neutral Internet. With the subscription model, both the ISP and the CP receive better (or worse) utilities as well as QoS in the presence of side payment at the same time. However, with the advertisement model, the side payment impedes the CP from investing on its contents.Comment: 15 pages, 10 figure

Alleviating a form of electric vehicle range anxiety through On-Demand vehicle access

On-demand vehicle access is a method that can be used to reduce types of range anxiety problems related to planned travel for electric vehicle owners. Using ideas from elementary queueing theory, basic QoS metrics are defined to dimension a shared fleet to ensure high levels of vehicle access. Using mobility data from Ireland, it is argued that the potential cost of such a system is very low

Electric Power Allocation in a Network of Fast Charging Stations

In order to increase the penetration of electric vehicles, a network of fast charging stations that can provide drivers with a certain level of quality of service (QoS) is needed. However, given the strain that such a network can exert on the power grid, and the mobility of loads represented by electric vehicles, operating it efficiently is a challenging problem. In this paper, we examine a network of charging stations equipped with an energy storage device and propose a scheme that allocates power to them from the grid, as well as routes customers. We examine three scenarios, gradually increasing their complexity. In the first one, all stations have identical charging capabilities and energy storage devices, draw constant power from the grid and no routing decisions of customers are considered. It represents the current state of affairs and serves as a baseline for evaluating the performance of the proposed scheme. In the second scenario, power to the stations is allocated in an optimal manner from the grid and in addition a certain percentage of customers can be routed to nearby stations. In the final scenario, optimal allocation of both power from the grid and customers to stations is considered. The three scenarios are evaluated using real traffic traces corresponding to weekday rush hour from a large metropolitan area in the US. The results indicate that the proposed scheme offers substantial improvements of performance compared to the current mode of operation; namely, more customers can be served with the same amount of power, thus enabling the station operators to increase their profitability. Further, the scheme provides guarantees to customers in terms of the probability of being blocked by the closest charging station. Overall, the paper addresses key issues related to the efficient operation of a network of charging stations.Comment: Published in IEEE Journal on Selected Areas in Communications July 201