Li Layuan

Wuhan University of Technology, Wu-han-shih, Hubei, China

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Publications (92)54.27 Total impact

  • Li Chunlin, Li LaYuan
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    ABSTRACT: Currently, mobile devices are becoming the popular instrument for accessing the cloud environment. Mobile devices are resource and energy limited; they can rely on cloud computing resource to perform computationally intensive operations such as data mining and multimedia processing. This paper presents the cost and energy aware service provisioning scheme for mobile client in mobile cloud, which includes two-stage optimization process. In the first-stage optimization process, the mobile cloud user gives the unique optimal payment to the cloud provider under the cost and energy constraint and optimizes its benefit. In the second-stage optimization process, mobile cloud provider runs multiple VMs to execute the jobs for mobile cloud users; the cloud providers also need to maximize the revenue. The cost and energy aware service provisioning algorithm in mobile cloud is proposed. The proposed algorithm is involved with the cloud datacenter provider’s optimization and mobile cloud user’s optimization, which are conducted by two routines. In the simulation, the proposed cost and energy aware mobile cloud service provisioning algorithm is compared with other related algorithm.
    The Journal of Supercomputing 04/2015; 71(4). DOI:10.1007/s11227-014-1345-0 · 0.84 Impact Factor
  • Li Chunlin, Li Layuan
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    ABSTRACT: This paper presents exploiting composition of mobile devices for maximizing user QoS under energy constraints in mobile grid. Mobile device service composition process includes two parts: mobile device service provisioning through device service market and mobile device resource allocation through device resource market. Interactions among mobile grid user agent, mobile device service agent and mobile device resource agent are mediated by means of market mechanisms. Mobile device service composition optimization maximizes the interests of mobile grid user agent, mobile device service agent and mobile device resource agent. Utility function is used to specify QoS requirement of mobile grid users and benefit of mobile device resource agents. The problem of services composition of mobile devices is formulated by utility optimization. The paper also presents a mobile grid services composition algorithm to maximize user QoS under energy constraint. In the simulation, the performance evaluation of proposed algorithm for services composition of mobile devices is conducted and compared with other related works.
    Information Sciences 09/2014; 279:654-670. DOI:10.1016/j.ins.2014.04.018 · 3.89 Impact Factor
  • Li Chunlin, Li Layuan
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    ABSTRACT: The paper studies multi-layer optimization in service oriented cloud computing to optimize the utility function of cloud computing, subject to resource constraints of an IaaS provider at the resource layer, service provisioning constraints of a SaaS provider at the service layer, and user QoS (quality of service) constraints of cloud users at application layer, respectively. The multi-layer optimization problem can be decomposed into three subproblems: cloud computing resource allocation problem, SaaS service provisioning problem, and user QoS maximization problem. The proposed algorithm decomposes the global optimization problem of cloud computing into three sub-problems via an iterative algorithm. The experiments are conducted to test the efficiency of the proposed algorithm with varying environmental parameters. The experiments also compare the performance of the proposed approach with other related work.
    Journal of Network and Systems Management 01/2014; 22(1). DOI:10.1007/s10922-012-9261-1 · 0.44 Impact Factor
  • Li Chunlin, Li LaYuan
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    ABSTRACT: Sensor devices such as video cameras, infrared sensors and microphones are being widely exploited in grid application. The paper deals with multi-layer optimization in service oriented sensor grid to optimize utility function of sensor grid, subject to resource constraints at resource layer, service composition constraints at service layer and user preferences constraints at application layer respectively. The multi-layer optimization problem can be decomposed into three subproblems: sensor grid resource allocation problem, service composing problem, and user satisfaction degree maximization problem, all of which interact through the optimal variables for capacities of sensor grid resources and service demand. The proposed algorithm decomposes global sensor grid optimization problem into a sequence of three sub-problems at three layers via an iterative algorithm. The simulations are conducted to validate the efficiency of the multi-layer optimization algorithm. The experiments compare the performance of the multi-layer global optimization approach with application layer local optimization and resource layer local optimization approach respectively.
    Expert Systems with Applications 06/2012; 39(8):6846–6856. DOI:10.1016/j.eswa.2012.01.011 · 1.97 Impact Factor
  • Li Chunlin, Chen Gang, Li Layuan
    01/2012; 34(4). DOI:10.2316/Journal.202.2012.4.202-3209
  • Zheng Sihai, Li Layuan, Guo Lin
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    ABSTRACT: In MANET, multicast routing can take full advantage of the shared wireless channel, in order to provide stable multicast paths with enough bandwidth, this paper proposes a QoS-based multicast routing protocol QMMRP. Entropy of nodes is treated as an important parameter to find a stable path; new protocol uses bandwidth reservation mechanism to achieve certain QoS requirements. Simulations based on NS2 show network load are much higher than that of ODMRP protocol. On the basis of data of experiment it can be concluded QMMRP can provide better quality of service for MANET.
    Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on; 01/2012
  • Li Chunlin, Li Layuan
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    ABSTRACT: In mobile grid, it is necessary to maintain end users’ needs while addressing issues such as rapid, unpredictable changes of highly mobile contexts in which wireless mobile devices operate. Context-aware mobile grid services that exploit information about user and device context are becoming one of the core components in mobile grid environment. This paper presents a contexts aware service provisioning in mobile grid. The paper describes device context information for context-aware services in the mobile device collaboration. An algorithm is proposed to dynamically deliver services to mobile grid users according to both user needs and current contexts. The algorithm decomposes global optimization problem into sub-optimizations. In the experiment, the performance evaluation of context aware service provisioning algorithm is conducted.
    Journal of Network and Computer Applications 03/2011; 34:774-782. DOI:10.1016/j.jnca.2010.10.003 · 1.77 Impact Factor
  • Li Chunlin, Li Layuan
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    ABSTRACT: In this paper, we propose an economics-based distributed negotiation scheme among mobile devices in mobile grid. In our model, there are energy negotiation and transactions between buyer devices and seller devices. Dynamic allocation of energy resources in mobile grid is performed through online transactions within markets. Mobile devices can be sellers and buyers that use optimization algorithms to maximize predefined utility functions during their transactions. Seller device agents sell the underlying energy resources of the mobile device. Buyer device agent makes buying decisions within the budget constraints to acquire energy resources. An economics-based negotiation algorithm among mobile devices is proposed. The proposed algorithm decomposes mobile grid system optimization problem into a sequence of two sub-problems. In the simulation, the performance evaluation of economics-based negotiation algorithm is evaluated.
    Computer Standards & Interfaces 03/2011; 33(3-33):220-231. DOI:10.1016/j.csi.2010.04.004 · 1.18 Impact Factor
  • Li Chunlin, Li Layuan
    01/2011; 33(3). DOI:10.2316/Journal.202.2011.3.202-3134
  • Zheng Sihai, Li Layuan, Li Yong
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    ABSTRACT: With the development of Ad Hoc Network, the demand of the users becomes more and more than ever before, some business requires the ability not only to communicate, but also to guarantee delay and bandwidth. This paper puts forward a QoS-based multipath routing protocol QMPSR. It takes bandwidth and delay constraint into account, it can find several paths to provide QoS guarantee. Simulation shows that QMPSR protocol is better than QoS-MSR. Its packet delivery ratio is higher, average delay is less, even the increased routing overhead caused is not too much.
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    ABSTRACT: In general, each cluster consists of a cluster head and several member nodes in clustering routing protocol of MANET. Its advantages are obvious, such as better scalability, less control overhead, and it also reduce the number of nodes sharing the same channel. But it needs a clustering algorithm to maintain the hierarchy so that it can adapt well to changes of network topology, and the routing elected by the clustering algorithm is not always optimal. This paper proposes a new clustering routing protocol EARP. New protocol takes into account the mobility and residual energy, it significantly improves network performance. The results of simulation show EARP is much better than CBRP routing protocol.
    Distributed Computing and Applications to Business, Engineering and Science (DCABES), 2011 Tenth International Symposium on; 01/2011
  • Li Chunlin, Li Layuan
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    ABSTRACT: This paper presents joint contexts optimization in mobile grid. The paper describes device context information for context-aware services in the mobile device collaboration. The objective of the paper is to dynamically deliver services to mobile grid users according to current context of mobile grid environment. A utility function is used as objective function that expresses values for the current contexts. The optimization is carried out by the joint context parameter optimizer with respect to an objective function. A joint contexts optimization algorithm is proposed which decomposes mobile grid system optimization problem into sub-problems. In the experiment, the performance evaluation of joint contexts optimization algorithm is conducted.
    Computers & Electrical Engineering 11/2010; 36(6):1123-1139. DOI:10.1016/j.compeleceng.2010.05.001 · 0.99 Impact Factor
  • Li Chunlin, Li Layuan
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    ABSTRACT: Mobile and wireless devices with limited energy are now of interest for the grid community. Reducing the related energy consumption is very important for wireless devices. Compared to conventional grid systems, energy aware grids need to support application quality of service (QoS) with limited energy. There is an inherent conflict in the design goals for high grid application QoS and low energy consumption. To address this challenging problem, this article considers joint optimisation of application QoS and energy conservation in grid environment. Joint optimisation of application QoS and energy conservation is targeted to maximise the system utility without exceeding the deadline and the total energy available, which can be provided by an exhaustible source such as a battery. This article formulates joint optimisation of application QoS and energy conservation as constrained maximisation problem; the constraints include energy budget and application QoS requirements. This article also presents a QoS and energy aware scheduling algorithm (QESA) which balances application QoS and energy conservation to improve system performance. In the simulation, the performance evaluation of QESA is conducted.
    International Journal of Systems Science 09/2010; 41(9):1027-1041. DOI:10.1080/00207720903199580 · 1.58 Impact Factor
  • Li Chunlin, Li Layuan
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    ABSTRACT: The challenges confronting in mobile grid systems are: limited CPU power, limited memory, small screen, short battery life, and intermittent disconnection. Considering all these limitations, this paper is targeted to control energy consumption without compromising system’s performance in mobile grid. In this paper, we focus on using the mobile devices on the mobile grid environment. Mobile devices can serve two important functions in mobile grid environment either as service consumer or as valuable service providers. The proposed approach is not only to reduce energy consumption, but also to improve system performance in mobile grid environment. Utility functions are used to express grid users’ requirements, resource providers’ benefit function and system’s objectives. Dynamic programming is used to optimize the total utility function of mobile grid. A distributed controlling energy algorithm in mobile grid environment is proposed which decomposes mobile grid system optimization problem into sub-problems. In order to verify the efficiency of the proposed algorithm, in the experiment, the performance evaluation of controlling energy algorithm is conducted.
    Computers & Electrical Engineering 05/2010; DOI:10.1016/j.compeleceng.2009.12.004 · 0.99 Impact Factor
  • L. Chunlin, L. Layuan
    International Journal of Computers and Applications 01/2010; 32(3). DOI:10.2316/Journal.202.2010.3.202-2588
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    ABSTRACT: Wireless Ad hoc networks have become a center of research interest over the last few years due to the promise of being self-configurable networks. One critical issue for almost all kinds of portable devices supported by battery power is energy conservation. Without power, any mobile device will become useless. This paper discusses new energy model that prolongs the lifetime of Ad-hoc On-Demand Distance Vector Routing Protocols which are modified to improve the networks lifetime in MANETs. There are two main ideas of energy-saving routing algorithm for Ad hoc routing protocols: The first one is to send each packet with minimum energy-consumption. The second is to maximize the network lifetime as much as possible. According to energy, the shortest path may not be the best path. A new mechanism of energy-aware named EA_AODV is proposed in this paper, which is based on the classical AODV.
  • Li Chunlin, Li Layuan
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    ABSTRACT: In a mobile grid, energy resources distribution and computation workloads are not balanced within mobile devices. Some mobile devices have spare energy; some mobile devices are energy exhausted. In this paper, we present a market-based mechanism for efficient integration of mobile devices into mobile grids to optimise the system performance. All mobile devices in a mobile grid can be classified into different roles, such as buyers (consumers) and sellers (providers). Using market-based cooperation among devices, an energy saving scheme is proposed for a mobile grid. The paper is targeted to solve energy allocation of mobile devices by using the utility-based scheme. The system utility of a mobile grid is maximised when the equilibrium prices are obtained through the device market optimisation. A market-based algorithm for integration of mobile devices into a mobile grid is proposed. In order to test the performance of the algorithm, simulation is conducted by comparing with other power-aware scheduling in mobile grids.
    International Journal of Ad Hoc and Ubiquitous Computing 01/2010; 6(1):53-62. DOI:10.1504/IJAHUC.2010.033825 · 0.90 Impact Factor
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    ABSTRACT: Routing problem is one of the most important issues to a wireless sensor network (WSN), and multi-hop transmission is one of its characteristics, so the idea of dynamic programming (DP) is very suitable for routing problem of a WSN. Based on dynamic programming, we propose an efficient energy routing algorithm. In this algorithm, we firstly propose an energy consumption model of sensor nodes and a method to transform WSN structure into standard DP model. Next we put forward a routing algorithm with minimal energy expends according to the DP model. Finally, in order to balance energy expends and to prolong the network lifetime, we adjust its set of state variable on the basis of average residual energy of each stage in the DP model. Experiments indicate that our algorithm has more efficient energy expends and a longer lifespan.
    Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on; 10/2009
  • Li Chunlin, Li Layuan
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    ABSTRACT: In grid computing, grid users who submit applications and resources providers who provide resources have different motivations when they join the grid. Application-centric scheduling aims to optimize the performance of individual application. Resource-centric scheduling aims to optimize the resource utilization of resources provider. Due to autonomy both in grid users and resource providers, the objectives of application-centric and resource-centric scheduling often conflict. The paper proposes a system-centric scheduling that provides a solution of joint optimization of the objectives for both the grid resource and grid application. Utility functions are used to express the objectives of grid resource and application. The system-centric scheduling policy can be formulated as joint optimization of utilities of grid applications and grid resources, which combine both application centric and resource-centric scheduling benefits. Simulations are conducted to study the performance of the system-centric scheduling algorithm. The experiment results show that the system-centric scheduling algorithm yields significantly better performance than application-centric scheduling algorithm and resource-centric scheduling algorithm.
    Computers & Industrial Engineering 10/2009; DOI:10.1016/j.cie.2009.04.007 · 1.69 Impact Factor
  • Li Chunlin, Li Layuan
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    ABSTRACT: This paper presents a global optimization approach for three layers of grid stack. In grid environment, the Quality of Service (QoS) needs to be supported at every layer of the grid architecture. However, less attention has been paid to incorporating QoS at multiple layers of the grid architecture. The primary objective of most existing scheduling mechanisms is to improve QoS at single grid layer, while the QoS optimization at multiple grid layers is seldom considered. In the paper, we consider the requirements of fabric layer, collective layer and application layer at the same time, and propose a global optimization approach for three layers of grid stack. The paper deals with global optimization as optimization decomposition. The global optimization for three layers of grid stack can be decomposed into three sub-problems at different grid layers: resource allocation at the fabric layer, service integration at the collective layer, and application QoS optimization problem at the application layer. A distributed iterative algorithm for three-layer optimization is proposed. The convergence of the iterative algorithm is proved. The simulations are conducted to test Three-Layer Optimization Algorithm.
    Advances in Engineering Software 08/2009; 40(8-40):607-617. DOI:10.1016/j.advengsoft.2008.11.004 · 1.42 Impact Factor

Publication Stats

709 Citations
54.27 Total Impact Points

Institutions

  • 2002–2015
    • Wuhan University of Technology
      • State Key Laboratory of Advanced Technology for Materials Synthesis and Processing
      Wu-han-shih, Hubei, China
  • 2005
    • Wuhan University
      Wu-han-shih, Hubei, China
  • 2001
    • Huazhong University of Science and Technology
      Wu-han-shih, Hubei, China
  • 1997–2001
    • Wuhan Transportation University
      Wu-han-shih, Hubei, China