How to effectively reduce the energy consumption of large-scale data centers is a key issue in cloud computing. This paper presents a novel low-power task scheduling algorithm （L3SA） for large-scale cloud data cente...How to effectively reduce the energy consumption of large-scale data centers is a key issue in cloud computing. This paper presents a novel low-power task scheduling algorithm （L3SA） for large-scale cloud data centers. The winner tree is introduced to make the data nodes as the leaf nodes of the tree and the final winner on the purpose of reducing energy consumption is selected. The complexity of large-scale cloud data centers is fully consider, and the task comparson coefficient is defined to make task scheduling strategy more reasonable. Experiments and performance analysis show that the proposed algorithm can effectively improve the node utilization, and reduce the overall power consumption of the cloud data center.展开更多
Large latency of applications will bring revenue loss to cloud infrastructure providers in the cloud data center. The existing controllers of software-defined networking architecture can fetch and process traffic info...Large latency of applications will bring revenue loss to cloud infrastructure providers in the cloud data center. The existing controllers of software-defined networking architecture can fetch and process traffic information in the network. Therefore, the controllers can only optimize the network latency of applications. However, the serving latency of applications is also an important factor in delivered user-experience for arrival requests. Unintelligent request routing will cause large serving latency if arrival requests are allocated to overloaded virtual machines. To deal with the request routing problem, this paper proposes the workload-aware software-defined networking controller architecture. Then, request routing algorithms are proposed to minimize the total round trip time for every type of request by considering the congestion in the network and the workload in virtual machines（VMs）. This paper finally provides the evaluation of the proposed algorithms in a simulated prototype. The simulation results show that the proposed methodology is efficient compared with the existing approaches.展开更多
Science data are very important resources for innovative research in all scientific disciplines. The Ministry of Science and Technology （MOST） of China has launched a comprehensive platform program for supporting sc...Science data are very important resources for innovative research in all scientific disciplines. The Ministry of Science and Technology （MOST） of China has launched a comprehensive platform program for supporting scientific innovations and agricultural science database construction and sharing project is one of the activities under this program supported by MOST. This paper briefly described the achievements of the Agricultural Science Data Center Project.展开更多
随着智算中心数据流量和业务需求的快速增长,高效、灵活的网络解决方案成为关键。细颗粒光传送网(fine grain optical transport network,fgOTN)作为同步数字体系(synchronous digital hierarchy,SDH)技术的接续与光传送网(optical tran...随着智算中心数据流量和业务需求的快速增长,高效、灵活的网络解决方案成为关键。细颗粒光传送网(fine grain optical transport network,fgOTN)作为同步数字体系(synchronous digital hierarchy,SDH)技术的接续与光传送网(optical transport network,OTN)技术的扩展,被应用于智算中心互联,以满足其灵活调度、高效传输、严格安全隔离和低时延等多重需求。首先,介绍了fgOTN的基本概念、技术架构及应用场景,随后,阐述了智算中心的相关概念、体系架构、关键技术及应用场景。在此基础上,重点探讨了fgOTN在智算中心互联中的应用,旨在促进智算中心间数据传输的高效、可靠。最后,论述了fgOTN应用于智算中心互联的研究方向和发展趋势。展开更多
基金supported by the National Natural Science Foundation of China(6120200461272084)+9 种基金the National Key Basic Research Program of China(973 Program)(2011CB302903)the Specialized Research Fund for the Doctoral Program of Higher Education(2009322312000120113223110003)the China Postdoctoral Science Foundation Funded Project(2011M5000952012T50514)the Natural Science Foundation of Jiangsu Province(BK2011754BK2009426)the Jiangsu Postdoctoral Science Foundation Funded Project(1102103C)the Natural Science Fund of Higher Education of Jiangsu Province(12KJB520007)the Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions(yx002001)
文摘How to effectively reduce the energy consumption of large-scale data centers is a key issue in cloud computing. This paper presents a novel low-power task scheduling algorithm （L3SA） for large-scale cloud data centers. The winner tree is introduced to make the data nodes as the leaf nodes of the tree and the final winner on the purpose of reducing energy consumption is selected. The complexity of large-scale cloud data centers is fully consider, and the task comparson coefficient is defined to make task scheduling strategy more reasonable. Experiments and performance analysis show that the proposed algorithm can effectively improve the node utilization, and reduce the overall power consumption of the cloud data center.
基金supported by the National Postdoctoral Science Foundation of China(2014M550068)
文摘Large latency of applications will bring revenue loss to cloud infrastructure providers in the cloud data center. The existing controllers of software-defined networking architecture can fetch and process traffic information in the network. Therefore, the controllers can only optimize the network latency of applications. However, the serving latency of applications is also an important factor in delivered user-experience for arrival requests. Unintelligent request routing will cause large serving latency if arrival requests are allocated to overloaded virtual machines. To deal with the request routing problem, this paper proposes the workload-aware software-defined networking controller architecture. Then, request routing algorithms are proposed to minimize the total round trip time for every type of request by considering the congestion in the network and the workload in virtual machines（VMs）. This paper finally provides the evaluation of the proposed algorithms in a simulated prototype. The simulation results show that the proposed methodology is efficient compared with the existing approaches.
基金Supported by Ministry of Science and Technology"National Science and Technology Platform Program"(2005DKA31800)
文摘Science data are very important resources for innovative research in all scientific disciplines. The Ministry of Science and Technology （MOST） of China has launched a comprehensive platform program for supporting scientific innovations and agricultural science database construction and sharing project is one of the activities under this program supported by MOST. This paper briefly described the achievements of the Agricultural Science Data Center Project.
文摘随着智算中心数据流量和业务需求的快速增长,高效、灵活的网络解决方案成为关键。细颗粒光传送网(fine grain optical transport network,fgOTN)作为同步数字体系(synchronous digital hierarchy,SDH)技术的接续与光传送网(optical transport network,OTN)技术的扩展,被应用于智算中心互联,以满足其灵活调度、高效传输、严格安全隔离和低时延等多重需求。首先,介绍了fgOTN的基本概念、技术架构及应用场景,随后,阐述了智算中心的相关概念、体系架构、关键技术及应用场景。在此基础上,重点探讨了fgOTN在智算中心互联中的应用,旨在促进智算中心间数据传输的高效、可靠。最后,论述了fgOTN应用于智算中心互联的研究方向和发展趋势。
