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The cloud computing ecosystem comprises hundreds of providers, offering diverse computing services, incompatible APIs, and significantly different pricing models. Cloud application management platforms hide the heterogeneity of the services and APIs, allowing, to varying degrees, portability between providers. These tools remove technical barriers to switching providers, but they do not provide a...
In this paper, we implement a complete Home Energy Management System (HEMS) capable of scheduling loads based on real-time electricity pricing information and user-defined priority. Real-time pricing information can provide numerous economic advantages as compared to the conventional flat rate tariffs. It can allow customers to respond to the price changes by increasing or decreasing energy consumption...
This paper contains an original classification of the 5G wholesale services and a novel proposal for the respective pricing schemes for these services. Motivated by the envisioned 5G customer services, this paper introduces the services that need to be offered, orchestrated and traded among infrastructure and service providers, so that end-to-end 5G services can be efficiently orchestrated and provisioned...
As energy demand increased and production means diversified, conventional approaches of looking into distribution grids need to evolve. The Smart Grid paradigm introduces new possibilities of real-time market sensing and interaction models between producers and consumers. In particular, by understanding the types of consumers and their potential willingness to adapt their energy demand with price...
Finding parking at a desired spot and time is tough, especially in an urban area. Users may also want to pay more to get a parking spot during urgent need. Although the existing infrastructure-based approaches can solve this problem partially, they require a high initial investment and maintenance cost. As a consequence, deploying such approaches on a large scale in the real world is infeasible. A...
In this paper, we study the joint pricing and lot sizing problems for a two level supply chain under supplier production breakdown and random repairing time. The supplier and the retailer follow a Stackelberg gaming approach, in which the supplier is the leader and the retailer is the follower. For the supplier, two production strategies, i.e., the flexible strategy (Strategy F) and the inflexible...
IaaS cloud resources are offered by cloud providers using various pricing schemes such as reservation, scheduled, on-demand and spot pricing. Such pricing models suffer from either wasteful payment in case of underutilization of reserved/scheduled instances or volatile prices, particularly for spot instances. This paper explores using financial options for pricing IaaS cloud resources. We advocate...
Bidders in day-ahead electricity markets want to sell/buy electricity when their bids generate positive surplus and not to take an action when the reverse holds. However, non-convexities in these markets cause conflicts between the actions that the bidders want to take and the actual market results. In this work, we investigate the non-convex market clearing problem of Turkish market operator and...
Utility computing models such as cloud computing provide a variety of computing services using several pricing options. Flexibility of requirements and availability of pricing options, enable a consumer to make trade-offs between cost and time. These trade-offs are governed by consumers' behavior with respect to how they discount price vis-à-vis time of delivery. In this paper, we study this trade-off...
To research the optimal decision problems of closed-loop supply chain composed of a dominant retailer and a manufacturer with fairness concerns. Under two different recycling channels of manufacturer and retailer, the effect of manufacturer's fairness concerns to the pricing of new products and the recycling rate of waste products were analyzed, the profits of members and whole closed-supply chain...
This paper analyzes stability conditions for wholesale electricity markets under real-time retail pricing and realistic consumption models with memory, which explicitly take into account previous electricity prices and consumption levels. By passing on the current retail price of electricity from supplier to consumer and feeding the observed consumption back to the supplier, a closed-loop dynamical...
This paper analyses the economic viability of serving Machine Type Communications (MTC) and Human Type Communications (HTC) on a common network infrastructure under monopolistic and duopolistic scenarios. The scenarios are compared against the case where one operator serves HTC. The service provision is modelled by a two-priority queue and the competition is analyzed as a two-stage game. In the first...
White Space (WS) Networking crucially relies on the active monitoring of spatio-temporal spectrum usage (to identify WS opportunities). To achieve this, one way is to gather spectrum data via wide-area sensor deployment and construct better Radio Environment Maps (REMs) with spatial models such as Kriging and Gaussian Process (GP). An economically viable alternative is via incentivized crowdsourcing,...
The cloud computing ecosystem comprises hundreds of providers, offering diverse computing services, incompatible APIs, and significantly different pricing models. Cloud application management platforms hide the heterogeneity of the services and APIs, allowing, to varying degrees, portability between providers. These tools remove technical barriers to switching providers, but they do not provide a...
Widespread use of sustainable energy sources is a necessary economic decision in the face of tightening supplies of fossil fuel sources like coal and restrictive exploitation of large hydroelectric schemes. As a perennial solution Distributed Energy Resources centred on renewable energy has become an established energy sourcing strategy even in developing economies. Still there are certain areas,...
The emerging of M2M communications enables many new applications such as smart grid, connected vehicle, eHealth and smart city. The telecom network is an ideal environment to support the implementation of these applications. However, the property of M2M communications is very different from that of traditional telecomm. Consequently, charging models designed for traditional telecomm such as pricing...
Residential demand response (DR) services have the great potential of growth, yet they are not adopted extensively. A comprehensive residential DR framework proposed in [2] connects utilities with DR participants via mobile apps, supports multiple DR programs, and enables fine-granulated control. In this paper, we focus on mathematical modeling and solutions for economically optimal operation for...
Real-time pricing (RTP) of electricity is one of the key technologies in smart grid. In RTP, the electricity price is set according to power consumption. Information about the price and power consumption is communicated through a communication network. Electricity is supplied to consumers through a power line. In this sense, a RTP system can be regarded as a cyber-physical system (CPS). In this paper,...
Energy storage systems (ESS) are seen as an increasingly important technology for managing electrical distribution systems, and there is now much research into both the underlying technologies of these systems, and their “optimum” management especially for applications within a single household. Optimum management usually depends on many factors and assumptions, for example what should be optimized...
Volume based data pricing is getting to be the most popular pricing scheme in cellular wireless data networks. While the flat-rate and unlimited data plans are being replaced with this new criterion worldwide, anticipating the provider profit is highly vital in a competitive market. The user behavior acts like a foundation for any analytical structure and it is linked to many network and market parameters...
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