Li Layuan

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

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Publications (95)63.25 Total impact

  • Li Chunlin · Li LaYuan
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    ABSTRACT: This article proposes context-aware integrated scheme for mobile cloud service allocation, which can provide desirable cloud services to mobile cloud clients according to the mobile cloud contexts. The article makes use of various contexts information in the mobile cloud environment, such as the mobile cloud user's preferences, the battery levels and the parameters of cloud datacenter servers to improve the performance of mobile cloud. Interplay coupling of the mobile cloud users and the cloud datacenter supplier is used to achieve global optimization of the mobile cloud system. The article integrates energy-based service provisioning, cloud virtual resource allocation and dynamic load balancing. The integrated scheme can adapt to dynamic context information changes of the mobile cloud system such as device energy consumption, bandwidth and server load without compromising mobile application's quality of service. Based on the proposed model, the context-aware integrated mobile cloud service allocation algorithm is proposed, it uses the mobile cloud service profile to select the services among the available service suppliers to enhance the mobile cloud user's quality of experience. The efficiency of the context-aware integrated mobile cloud service allocation algorithm is tested by the experiments.
    No preview · Article · Sep 2015 · The Computer Journal
  • Li Chunlin · Li LaYuan
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    ABSTRACT: The hybrid cloud extends the private cloud model by using both local and remote resources. The private cloud will rely on the resources leased from public cloud providers for the execution of private cloud applications. The paper presents optimal scheduling across public and private clouds in complex hybrid cloud environment. The contributions of this paper have three aspects. 1) The proposed hybrid cloud scheduling policy considers the benefits of private cloud applications and public cloud provider, it can adapt to the changes in the system to find the scheduling optimization. The scheduling optimization is decomposed and conducted across the private cloud and public cloud. 2) Secondly, The paper describes negotiations in hybrid cloud marketplace and gives an example to explain how these rules are resolved by the cloud marketplace. 3) Thirdly, the paper proposes an optimal scheduling algorithm across public and private clouds. The paper also describes negotiations in hybrid cloud marketplace and gives an example to explain how these rules are resolved by the cloud marketplace. In the simulations, the profit of public cloud provider and resource utilization of the proposed algorithm are better than other related works.
    No preview · Article · Jul 2015 · Information Systems Frontiers
  • Li Chunlin · Li LaYuan
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    ABSTRACT: In the paper, we consider the hybrid cloud model used for cloud bursting, when the computational capacity of the private cloud provider is insufficient to deal with the peak number of customers' applications, the private cloud will rely on the resources leased from public cloud providers for the execution of private cloud applications. The paper proposes the model and algorithm of hybrid cloud scheduling optimization for cloud bursting. Public cloud providers and private cloud users communicate by the hybrid cloud marketplace. The hybrid cloud scheduling optimization is conducted at different levels. According to the model formulation and mathematic solutions of hybrid cloud scheduling, hybrid cloud scheduling algorithms for cloud bursting are proposed, which includes the routines of public cloud optimization, private cloud application optimization and private cloud job optimization. In the simulations, compared with other related algorithm, our proposed hybrid cloud scheduling algorithms achieve the better performance.
    No preview · Article · Jul 2015 · Fundamenta Informaticae
  • Li Chunlin · Yan Xin · Li LaYuan
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    ABSTRACT: The paper proposes agent collaboration-based service provisioning strategy for large enterprise business in hybrid cloud environment. The proposed service provisioning model is constructed by the agents, which include hybrid cloud user agent, hybrid cloud service agent and hybrid cloud provider agent. Hybrid cloud user agents adjust needed service according to the prices of hybrid cloud services. Hybrid cloud service agents compete actively for the requests from hybrid cloud user agents and execute them for gaining profits. Hybrid cloud service agents dynamically change cloud services' prices and send updated prices to all hybrid cloud user agents. Hybrid cloud services' prices are adjusted to accommodate the service demands from hybrid cloud user agents. Hybrid cloud provider agent tries to maximise its profit based on its resource capability and energy consumption. The paper also presents an agent collaboration-based service provisioning algorithm. The simulations are designed to compare the performance of the proposed algorithm with the other related works. Copyright © 2015 John Wiley & Sons, Ltd.
    No preview · Article · Jul 2015 · Transactions on Emerging Telecommunications Technologies
  • 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.
    No preview · Article · Apr 2015 · The Journal of Supercomputing
  • 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.
    No preview · Article · Sep 2014 · Information Sciences
  • 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.
    No preview · Article · Jan 2014 · Journal of Network and Systems Management
  • 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.
    No preview · Article · Jun 2012 · Expert Systems with Applications
  • Li Chunlin · Chen Gang · Li Layuan
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    ABSTRACT: This paper studies the problem of sensor data integration with grid computing. We set up the mathematical models for optimal sensor resources allocation in sensor-enabled grid-computing environment. In this paper, the iterative algorithm that achieves sensor integration with the grid is proposed. The experiments are conducted to compare our proposed algorithm for sensor integration with selfoptimization-based resource management and scheduling for sensor grid. In the simulations, we use several measurement metrics: response time, profit, and energy consumption.
    No preview · Article · Jan 2012
  • 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.
    No preview · Conference Paper · Jan 2012
  • Zheng Sihai · Li Layuan · Li Yong · Yuan Junchun
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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.
    No preview · Conference Paper · Oct 2011
  • 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.
    No preview · Article · Mar 2011 · Journal of Network and Computer Applications
  • 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.
    No preview · Article · Mar 2011 · Computer Standards & Interfaces
  • Li Chunlin · Li Layuan
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    ABSTRACT: The paper proposes a market-based resource allocation policy in ad hoc grid environments. The objective of optimal resource allocation in ad hoc grid is to maximize the utility of the ad hoc grid system without exceeding the resource capacity constraints, expense budget and the deadline. Ad hoc grid user agents acted as the consumers pay for the ad hoc grid resources and resource providers get profits from user agents. Our grid resource allocation optimization is decomposed to two subproblems. In the simulation, the comparison experiments are conducted to test the performance of the algorithms.
    No preview · Article · Jan 2011
  • 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.
    No preview · Article · Jan 2011
  • L. Chunlin · L. Layuan
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    ABSTRACT: This paper presents device resource allocation in context-aware mobile grid. Context information in mobile grid includes device capabilities, network status and user preferences. The objective of the paper is to efficiently allocate mobile device resource under the contexts of mobile grid environment. The paper uses utility to express values for the device resource allocation. Device resource allocation was formulated by utility optimization in mobile grid. Device resource allocation algorithm (DRAA) is proposed which decomposes optimization problem into sub-problems. In the simulation, DRAA in context-aware mobile grid was compared with other related work.
    No preview · Article · Jan 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.
    No preview · Article · Nov 2010 · Computers & Electrical Engineering
  • 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.
    No preview · Article · Sep 2010 · International Journal of Systems Science
  • L. Chunlin · L. Layuan
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    ABSTRACT: In complex grid environment, a control system should consider all applications and coordinate all layers of grid architecture upon any changes in the system. However, this brings large overhead because any changes will invoke a global coordination. The paper proposes a multiple granularity control scheme in grid computing, which balances control scope and control frequency to improve system performance. Multiple granularity control policies are deployed at different levels: system level control at coarse time granularity and application level control at fine time granularity. System level control considers all applications and coordinates three layers of grid architecture in response to large system changes at coarse time granularity; it exploits the interlayer coupling of fabric layer, collective layer, and application layer to achieve a system-wide optimization based on the user's preferences. Application level control adapts a single application to small changes at fine time granularity. The paper presents a multiple granularity control algorithm (MGCA). Simulations are conducted to test the performance of the control algorithm.
    No preview · Article · Jul 2010 · International Journal of Computers and Applications
  • 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.
    No preview · Article · Jul 2010 · International Journal of Ad Hoc and Ubiquitous Computing

Publication Stats

852 Citations
63.25 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