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In this paper, we develop an access controller management model which provides new opportunities for further reducing the computation repetition and data transmission redundancy for Mobile Edge Computing (MEC) in 5G network. We propose novel algorithms for solving the offloading problem with consideration of tradeoff between energy consumption and the amount of offloaded data under constraint of overall...
In the large-scale Wireless Metropolitan Area Network (WMAN) consisting of many wireless Access Points (APs),choosing the appropriate position to place cloudlet is very important for reducing the user's access delay. For service provider, it isalways very costly to deployment cloudlets. How many cloudletsshould be placed in a WMAN and how much resource eachcloudlet should have is very important for...
Mobile cloud computing addresses resource scarcity problem of mobile devices by offloading computation data from mobile devices into the cloud. However, remote server may be far from mobile users. Cloudlet could be used to deal with the long access delay problem. In the large-scale Wireless Metropolitan Area Network (WMAN) consisting of many wireless Access Points (APs), choosing the appropriate position...
The Software Defined Network (SDN) is a new networking paradigm, which separates the control plane and data plane. In this paper, we study two efficient large flow scheduling problems using SDN. We firstly present problem definitions, then we propose two algorithms based on Minimize-Cost Maximize-Flow (MCMF) model. One is for static model and the other for dynamic model. We show how to determine the...
In this paper, Fuzzy Neural Network (FNN) is transformed into an equivalent Fully Connected Neuro-Fuzzy Inference System (F-CONFIS). The F-CONFIS is a new type of neural network that differs from traditional neural networks, which there are the dependent and repeated weights. For these special properties, its learning algorithm should be different from that of the conventional neural networks. Therefore,...
With the development of cloud computing, there is an increasing number of market-based mechanisms for cloud resource allocation. Inspired by the emerging group-buying websites, we advocate that group-buying can be applied to cloud resource allocation, and thus cloud providers can benefit from demand aggregation due to the advantage of group-buying in attracting customers, while cloud users can enjoy...
Dominating set in a mobile ad-hoc network (MANET) is a collection of devices acting as servers that store, forward, or backup data for other devices not in the set. To fulfill the service requirement, every device is either a dominator or adjacent to some dominator. Devices of the latter case are dominatees. To provide a more robust service, we can extend the definition of dominating set to k-dominating...
A traditional neuro-fuzzy system is transformed into an equivalent fully connected three layer neural network (NN), namely, the fully connected neuro-fuzzy inference systems (F-CONFIS). The F-CONFIS differs from traditional NNs by its dependent and repeated weights between input and hidden layers and can be considered as the variation of a kind of multilayer NN. Therefore, an efficient learning algorithm...
In this paper, the service scheduling problem with start time constraints is considered for distributed collaborative manufacturing systems, which is different from the discrete time-cost tradeoff problem (DTCTP), well studied during the past decades. The assumption that the ability of services is unlimited in DTCTP is seldom true for practical settings. The fact that most services have limited capabilities,...
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