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In this paper, we investigate the selling strategy and price decisions for a seller who provides two complementary products to the strategic consumer over two periods under three selling strategies: markdown pricing (MD), second period bundling (SPB) and first period bundling (FPB). It is found that the seller's optimal prices in the second period of SPB and FPB strategies are higher than that of...
As Internet applications have become more diverse in recent years, users having heavy demand for online video services are more willing to pay higher prices for better services than light users that mainly use e-mails and instant messages. This encourages the Internet Service Providers (ISPs) to explore service differentiations so as to optimize their profits and allocation of network resources. Much...
Energy and resource utilization efficiency are two of the most significant differentiators in the contemporary Cloud computing marketplace. This paper addresses both of these from system of systems architectural and optimization viewpoints. Our approach will allow multiple cloud providers to optimally utilize compute resources. It will do this by (1) lowering the datacenters deployments per provider...
In this paper, an analysis and a discussion about the possibility of fast approximation on stable pricing and allocation of resources in a combinatorial auction are presented. On the discussion, an approximate auction which has VCG-like pricing mechanism is used considering the situation when a cancellation of winner bid(s) occurred after its winner determination. An analysis about stable approximate...
Due to world wide restructuring of electric supply industry, assessment and allocation of wheeling prices among transmission users has become a crucial task. Wheeling prices are supposed to be distributed over transmission users. Allocation of wheeling prices means determination of distribution of wheeling prices among transmission users and this depends upon the contribution of each user in total...
Cloud computing has been established as a novel approach for computing where virtualized resources are available on demand. This permits the user to concentrate on the functional area and frees her/him from the burden of setting up data centers, hardware, software, network and licensing etc. Cloud computing helps in cost saving, easy accessibility, security, and 24×7 availability of resources to the...
Fair sharing of bandwidth among tenants in datacenters is important to guarantee prompt execution while providing isolation between different jobs. Existing bandwidth allocation methods lack a concept of a task reflecting the dependency between allocations on links. Moreover, existing approaches do not consider the tenants to be smart individuals and lack understanding of a threat that strategic players...
A great deal of research energy has been focused on the challenge of delivering high-quality video content to mobile users. In many over-the-top video services, however, the scheduler responsible for channel resource allocation is not aware of content characteristics or playback schedules at end user devices. Therefore, it cannot allocate physical resources in a way that maximizes video quality. For...
Wireless spectrum is a precious resource and must be allocated and used efficiently. The conventional spectrum allocation lets a government (e.g., FCC) sell a given portion of spectrum to one provider. This is not only restrictive, but also limits spectrum reuse and may lead to significant under-utilization of spectrum. In this paper, we develop a novel truthful double auction scheme to let any resource...
We address the problem of spectrum allocation by a moderator employed in a cognitive radio (CR) network in the presence of multiple primary users (PUs). It is assumed that the moderator is uncertain about the state of the PU channel (busy or vacant) and therefore, does not have perfect knowledge about spectrum availability. In order to improve the performance, secondary users (SUs) send their sensing...
In this paper, I discuss about a preliminary idea and its implementation of an auction-based dynamic electric power resource allocation framework that utilizes certain tractable pricing mechanisms, which can cover middle-scale smart grids, e.g., grids for manufacturing industries in a small city with several power suppliers. I illustrate how such an auction-based pricing mechanism can be modeled as...
Deregulation of Electricity market has led to increase in competition among generators and hence reduced prices. It has introduced several issues in the market like congestion management, market power. Due to open access all the participants have equal right to access transmission system. However, they have to bear the costs incurred to accommodate their transaction. The cost allocation is still a...
In this paper, we introduce a pricing model that ensures efficient resource allocation that provides guaranteed quality of service while maximizing profit in multiservice networks. Specifically, a dynamic allocation policy is examined that relies on online measurements while each service class operates under a probabilistic bound delay constraint. We present a rigorous analysis of the properties of...
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