5,086 research outputs found
An Auction Mechanism for Resource Allocation in Mobile Cloud Computing Systems
A mobile cloud computing system is composed of heterogeneous services and
resources to be allocated by the cloud service provider to mobile cloud users.
On one hand, some of these resources are substitutable (e.g., users can use
storage from different places) that they have similar functions to the users.
On the other hand, some resources are complementary that the user will need
them as a bundle (e.g., users need both wireless connection and storage for
online photo posting). In this paper, we first model the resource allocation
process of a mobile cloud computing system as an auction mechanism with premium
and discount factors. The premium and discount factors indicate complementary
and substitutable relations among cloud resources provided by the service
provider. Then, we analyze the individual rationality and incentive
compatibility (truthfulness) properties of the users in the proposed auction
mechanism. The optimal solutions of the resource allocation and cost charging
schemes in the auction mechanism is discussed afterwards
Cloud Compute-and-Forward with Relay Cooperation
We study a cloud network with M distributed receiving antennas and L users,
which transmit their messages towards a centralized decoder (CD), where M>=L.
We consider that the cloud network applies the Compute-and-Forward (C&F)
protocol, where L antennas/relays are selected to decode integer equations of
the transmitted messages. In this work, we focus on the best relay selection
and the optimization of the Physical-Layer Network Coding (PNC) at the relays,
aiming at the throughput maximization of the network. Existing literature
optimizes PNC with respect to the maximization of the minimum rate among users.
The proposed strategy maximizes the sum rate of the users allowing nonsymmetric
rates, while the optimal solution is explored with the aid of the Pareto
frontier. The problem of relay selection is matched to a coalition formation
game, where the relays and the CD cooperate in order to maximize their profit.
Efficient coalition formation algorithms are proposed, which perform joint
relay selection and PNC optimization. Simulation results show that a
considerable improvement is achieved compared to existing results, both in
terms of the network sum rate and the players' profits.Comment: Submitted to IEEE Transactions on Wireless Communication
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