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In Software Defined Networking (SDN), the severe conflict between rule number and memory size has attracted considerable academic attention. Ternary Content Addressable Memory (TCAM), generally used to guarantee the query speed, is a scarce and expensive resource, which limits the number of rules that the switch can support. However, the table miss may increase processing burden of the controller...
Fog computing is a promising architectural pattern to reduce the amount of data that is transferred to the cloud for processing and analysis. In this paper, we study fog-assisted data streaming scenario in which fog nodes at the network edge share their spare resources to help pre-process raw data of applications hosted in the cloud. A distributed resource sharing scheme is presented where the software...
With the growing adoption of virtualized data centers and cloud services, nowadays multiple resource scheduling is increasingly attractive to researchers. Some previous studies achieved progresses in this area. However, these heuristics have obvious limitations in complex software defined cloud environment. A real multi-dimensional model is needed to solve this NP hard problem. Our approach emphasizes...
Different services have different requirements in failure recovery. However, in the current network, the failure recovery schemes generally handle all the traffics in the same manner, which is inefficient. Software Defined Networking (SDN) enhances network flexibility by centralized control of traffics and resources. In this paper, we develop a Declarative Failure Recovery System (DFRS) for customized...
Traditional control allocation technology may introduce large control output error when the control effectiveness model has uncertainties. This paper demonstrates a new robust control allocation method in the presence of partial or total loss of control effectors. Under the condition that the fault magnitude information is not identified precisely, the robust control allocation method considers the...
This paper introduces a hybrid algorithm combining discrete harmony search (DHS) and iterated local search (ILS) for solving the multi-objective resource allocation problem (RAP). Two objectives are considered simultaneously, i.e. minimization of the overall cost and overall efficiency. The harmony search algorithm is used to conduct the global exploration task, while the iterated local search performs...
Internet applications are diverse, such as online web services, offline data analysis jobs and so on. To make different types of applications work effectively, many programming models and computing frameworks are designed, such as MapReduce, Dryad, and Hadoop. How to support the emerging applications and computing frameworks with high resource utilization is a serious challenge. In this paper, we...
As a new application model, cloud computing enables users to distribute virtual resource in cloud data center as demand. However, the performance declines as the increase of users. This paper focuses on the network and I/O performance decline due to the virtual machine image and virtual disk image densely deployment in Cloud computing management platform. The method and model for rapid deployment...
In the deregulated power systems, the interruptible load management (ILM) is widely used as an effective measure to ensure reliability and mitigate the market price spike. A critical issue is the incentive paid to the consumers to participate in the ILM. This paper addresses the quantification and allocation of ILM's benefit from mitigating the wholesale price spike. This benefit is calculated within...
Based on the developed nonlinear dynamic equations of a quadrotor (named as Qball-X4) UAV (Unmanned Aerial Vehicle), attitude and trajectory tracking control designs based on an inner/outer loop control structure has been proposed in this paper. Feedback linearization is designed to control the attitude stability in inner loop, traditional PID is designed to follow trajectory in accordance with pre-planned...
Spectrum management in cognitive radio is one of the most challenging issues and has attracted much research attentions in recent years. However most of the existing works consider either online demands or scheduled demands, which may not fully capture the flexible nature of the demands in certain circumstances, such as the communication demands for a synchronized sensing data transmission in wireless...
The paper illustrates the necessity and development prospect of EP-ERP system application in electricity generating enterprises by analyzing significance of information-based construction. The conception of establishing EP-ERP system model in management of electricity generating enterprises, aiming at the current situation of information-based construction in electricity generating enterprises, is...
Reverse nearest neighbor (RNN) queries have a broad application base such as decision support, profile-based marketing, resource allocation, etc. Previous work on RNN search does not take obstacles into consideration. In the real world, however, there are many physical obstacles (e.g., buildings) and their presence may affect the visibility between objects. In this paper, we introduce a novel variant...
Agents often need to work together and achieve their common and individual goals under the environment where there are limited or scarce resources. How to allocate these resources efficiently is critical in proceeding of cooperation and competition. Auction-based method is often adopted in the settings. This paper presents an improved mathematically computable model based auction theory by introducing...
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