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Proceedings - 2011 6th Annual Chinagrid Conference, Chinagrid 2011 2011年 108-115页

作者： Traore, Moussa Djiriba Jin, Hai Zou, Deqing Qiang, Weizhong Xiang, Guofu Services Computing Technology and System Lab. Cluster and Grid Computing Lab. Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780769544724

Exploits sequencing is a typical way by which an attacker breaks into a network. In such a scenario, each exploit lays as an atomic proposition for subsequent exploits. An attack path is seen as a succession of exploits which take an attacker right to his/her final goal. The set of all possible attack paths form an attack graph. Researchers have proposed a multitude of techniques to generate attack graph which grows exponentially in the size of the network. Hence it is preferable to optimize the choice of solutions which avoid the cost of scalab.lity and cumbersome. In this paper, we propose a comprehensive approach to network vulnerability analysis by ranking access Petri net graph and utilizing a penetration tester's perspective of maximal level of access possible on a host. Our approach has the following benefits: it provides a simple model in which an analyst can work, its algorithmic complexity is polynomial in the size of the network, and has the ability of scaling well to large size networks. Nevertheless, it has some drawback as in place of all possible attack paths, we seek only good attack paths. An analyst may make suboptimal choices when repairing the network. © 2011 IEEE.

关键词： Petri nets

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Resources Allocation in Virtualized Systems Based on Try- Before-Buy Approach

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Procedia Environmental Sciences 2011年 11卷 193-199页

作者： Ritai Yu Congfeng Jiang Xianghua Xu Hui Cheng Jian Wan Grid and Service Computing Technology Lab Hangzhou Dianzi University Hangzhou 310037 China

In virtualization environments, resources are shared across multiple virtual machines(VMs), which results in contentions and even conflicting under heavily loaded or consolidated situations. In order to accommodate as many as service instances while still delivering performance guarantees, resource allocation should be optimized in a just adequate manner such that less resources will be utilized for a specific performance requirement. To achieve this goal, in this paper we propose a try-before-buy approach for allocating contending resources. This approach firstly does a try of minor resource allocation to find the performance feedback and search for the optimal amount of resource that should be allocated to the target virtual machine. This approach does not require a highly accurate performance model in a virtualized system where workloads usually change frequently with time in some intervals. Experiments on a Xen based virtualized environment are conducted and evaluated for its effectiveness. The results show that the proposed approach utilizes less CPU and memory resources to achieve the same performance goals compared to default Xen configuration with over-provisioning.

关键词： Virtualization Provisioning Resource allocation Performance feedback

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Security aware parallel and independent job scheduling in grid computing environments based on adaptive job replication

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Journal of Networks 2011年第9期6卷 1321-1328页

作者： Jiang, Congfeng Xu, Xianghua Wan, Jian Grid and Service Computing Technology Lab Hangzhou Dianzi University Hangzhou China

In grid environment, jobs may be scheduled to multiple machines across different administrative domains. However, grid security is a main hurdle to make the job scheduling decision secure, reliable and fault tolerant. A security-aware parallel and independent job scheduling algorithm in grid computing environment based on adaptive job replications was proposed. In risky and failure-prone grids, it is robust due to its adaptive job replications and rescheduling mechanism. Simulation results generated based on the Simgrid package show that a higher scheduling success of 97% rate and higher grid resource utilization of 74% can be achieved. The performance of our algorithm is better than non-security-aware scheduling algorithms based on fixed-number job replications and it is fault tolerant and scalab.e. © 2011 ACADEMY PUBLISHER.

关键词： Fault tolerance

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Towards pay-as-you-consume cloud computing

Towards pay-as-you-consume cloud computing

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International Conference on services computing

作者： Ibrahim, Shadi He, Bingsheng Jin, Hai Cluster and Grid Computing Lab. Huazhong University of Science and Technology Wuhan 430074 China School of Computer Engineering Nanyang Technological University Singapore 639798 Singapore

ISBN: (纸本)9780769544625

Cloud computing enables users to perform their computation tasks in the public virtualized cloud using a pay-as-you-go style. Current pay-as-you-go pricing schemes typically charge on the incurred virtual machine hours. Our case studies demonstrate significant variations in the user costs, indicating significant unfairness among different users from the micro-economic perspective. Further studies reveal the reason for such variations is interference among concurrent virtual machines. The amount of interference cost depends on various factors, including workload characteristics, the number of concurrent VMs, and scheduling in the cloud. In this paper, we adopt the concept of pricing fairness from micro economics, and quantitatively analyze the impact of interference on the pricing fairness. To solve the unfairness caused by interference, we propose a pay-as-you-consume pricing scheme, which charges users according to their effective resource consumption excluding interference. The key idea behind the pay-as-you-consume pricing scheme is a machine learning based prediction model of the relative cost of interference. Our preliminary results with Xen demonstrate the accuracy of the prediction model, and the fairness of the pay-as-you-consume pricing scheme. © 2011 IEEE.

关键词： Cloud computing

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Resources Allocation in Virtualized Systems Based on Try-before-buy Approach

Resources Allocation in Virtualized Systems Based on Try-bef...

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2011 2ND International Conference on Innovative computing and Communication and 2011 Asia-Pacific Conference on Information technology and Ocean Engineering(CICC-ITOE 2011)

作者： Ritai Yu Congfeng Jiang Xianghua Xu Hui Cheng Jian Wan Grid and Service Computing Technology Lab Hangzhou Dianzi University

关键词： virtualization provisioning resource allocation performance feedback

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Resources Allocation in Virtualized Systems Based on Trybefore-buy Approach

Resources Allocation in Virtualized Systems Based on Trybefo...

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2011 2nd International Conference on Challenges in Environmental Science and Computer Engineering (CESCE 2011)

作者： Ritai Yu Congfeng Jiang Xianghua Xu Hui Cheng Jian Wan Grid and Service Computing Technology Lab Hangzhou Dianzi University

关键词： Virtualization Provisioning Resource allocation Performance feedback

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Thin Provisioning of Virtualized Resources with Minimal Performance Degradation

Thin Provisioning of Virtualized Resources with Minimal Perf...

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The Second International Conference on High Performance Networking, computing,and Communication Systems（ICHCC 2011）

作者： Ritai Yu Congfeng Jiang Xianghua Xu Jian Wan Grid and Service Computing Technology Lab Hangzhou Dianzi University

In consolidated virtualization systems, hardware resources are shared and multiplexed across multiple virtual machines(VMs) for energy and cost savings, where resources are over-provisioned according to the peak demand of VMs to provide performance guaranteesThis over-provisioning manner results in resource waste and contention under heavily load conditionsAs a result, there is a need to multiplex resources among VMs in a fine-grained thinprovisioning manner in heavily loaded virtualized systemIn this paper we propose such a thin provisioning approach for resource allocation among VMs with minimal performance degradationsOur approach consists of two parts: one is workload characterization, and the other is dynamic resource allocation via prioritizationExperiments on a Xen based virtualized environment are conducted and evaluatedThe results show that the proposed approach can support concurrent contending requests with acceptable performance penalties.

关键词： virtualization,thin provisioning,resource allocation,prioritization,workload characterization

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An adaptive management mechanism for resource scheduling in multiple virtual machine system

An adaptive management mechanism for resource scheduling in ...

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Lecture Notes in Computer Science

作者： Wan, Jian Yang, Laurence T. Li, Yunfa Xu, Xianghua Xiong, Naixue Grid and Service Computing Lab. School of Computer Science and Technology Hangzhou Dianzi University 310018 Hangzhou China Department of Computer Science St. Francis Xavier University Antigonish NS B2G 2W5 Canada Department of Computer Science IS and T on Virtual Computing Lab. Georgia State University GA 30303 United States

ISBN: (纸本)9783642234958

With the growth of hardware and software resources, the management of resource scheduling is becoming more and more difficult in multiple virtual machine system. It has become a very difficult problem that how to schedule the system resource and improve the service performance of resource. In order to solve this problem, we propose an adaptive management mechanism for resource scheduling. In the management mechanism, we first propose an adaptive management model for resource scheduling. Then, we present a genetic simulated annealing to resolve the management model. On the basis of the model and the algorithm, we design a management module. All these constitute an adaptive management mechanism for resource scheduling in multiple virtual machine system. In order to justify the feasibility and availab.lity of the adaptive management mechanism for resource scheduling, a series of experiments have been done. The results show that it is feasible to adaptively manage and schedule the system resources and ensure the quality of service of resources in multiple virtual machine system. © 2011 Springer-Verlag.

关键词： Quality of service

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Analyzing and improving MPI communication performance in overcommitted virtualized systems

Analyzing and improving MPI communication performance in ove...

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IEEE Annual International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems

作者： Shao, Zhiyuan Wang, Qiang Xie, Xuejiao Jin, Hai He, Ligang Cluster and Grid Computing Lab. School of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 China Department of Computer Science University of Warwick Coventry CV4 7AL United Kingdom

ISBN: (纸本)9780769544304

Nowadays, it is an important trend in the system domain to use the software-based virtualization technology to build the execution environments (e.g., Clouds) and serve high performance computing (HPC) applications. However, with the extra virtualization layer, the application performance may be negatively affected. Studies revealed that the communication performance of the MPI library, which is widely used by the HPC applications, would suffer a high penalty when a physical host machine becomes overcommitted by virtual processors (VCPU). Unfortunately, the problem has not received enough attention and has not been solved yet in literature. In this paper, we investigate the reasons behind the performance penalty, and propose a solution to improve the communication performance of running MPI applications in the overcommitted virtualized systems. The experimental results show that by our proposal, most HPC applications can gain performance improvement to different extents among the overcommitted systems, depending on their communication patterns and the over committing level. © 2011 IEEE.

关键词： Virtualization

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Power aware job scheduling with QoS guarantees based on feedback control

Journal of Software

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Journal of Software 2011年第8期6卷 1562-1569页

作者： Jiang, Congfeng Xu, Xianghua Wan, Jian Zhang, Jilin Zhao, Yinghui Grid and Service Computing Technology Lab Hangzhou Dianzi University Hangzhou 310037 China Department of Hydraulic Engineering and Agriculture Zhejiang Tongji Vocational College of Science and Technology Hangzhou 311231 China

With the scale of computing system increases, system performance and reliability, described by various Quality of service(QoS) metrics, cannot be guaranteed if only the objective is to minimize the total power consumptions separately, despite of the violations of QoS. In this paper a feedback control based power aware job scheduling algorithm is proposed to minimize power consumption in computing system and to provide QoS guarantees. In the proposed algorithm, jobs are scheduled according to the real-time and historical power consumption as well as the QoS requirements. Simulations show that the proposed algorithm can reduce power consumptions significantly while still providing QoS guarantees and the performance degradation is acceptable. The results also show that fine-grained job-level power aware scheduling can achieve better power/performance balancing between multiple processors or cores than coarse-grained methods. And the results also suggest that conventional hardware based per-component and system-wide power management methods can save more power consumptions if they are in assistance with job-level adaptation. © 2011 ACADEMY PUBLISHER.

关键词： Quality of service

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