Cloud Networking 云计算论文整理

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这个学期修了cloud networking 云计算的课,学期结束了整理一下所学论文:

  • Cloud Computing云计算介绍
    [1] Gupta R. Above the Clouds: A View of Cloud Computing介绍云计算的基础概念
    [2] CloudCmp: shopping for a cloud made easy
    [3] CloudCmp: Shopping for a Cloud Made Easy
  • 编程框架
    [4] MapReduce: Simplified Data Processing on Large Clusters
    [5] Dryad: Distributed Data-Parallel Programs from Sequential Building Blocks
    [6] Pig latin: a not-so-foreign language for data processing
    [7] Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing
  • 资源分配和调度
    [8] Apache Hadoop YARN: Yet Another Resource Negotiator
    [9] Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center
    [10] Dominant Resource Fairness: Fair Allocation of Multiple Resource Types
    [11] The Misbelief in Delay Scheduling
    [12] Delay Scheduling: A Simple Technique for Achieving Locality and Fairness in Cluster Scheduling
  • Load balancing
    [13] PortLand: A Scalable Fault-Tolerant Layer 2 Data Center Network Fabric
    [14] DCell: A Scalable and Fault-tolerant Network Structure for Data Centers.
    [15] A Scalable, Commodity Data Center Network Architecture
    [16] Jellyfish: Networking Data Centers Randomly
    [17] Dynamic Load Balancing Without Packet Reordering
    [18] CONGA: Distributed Congestion-Aware Load Balancing for Datacenters
  • DCTCP
    [19] Safe and Effective Fine-grained TCP Retransmissions for Datacenter Communication
    [20] DCTCP: Efficient Packet Transport for the Commoditized Data Center
    [21] pfabric: Minimal near-optimal datacenter transport
    [22] Fastpass: A centralized “zero-queue” datacenter network. 2014.
    [23] pHost: Distributed Near-optimal Datacenter Transport Over Commodity Network Fabric
    [24] Cost of a cloud: Research Problems in Data Center Networks
  • SDN
    [25] Openflow: enabling innovation in campus networks.
    [26] The Design and Implementation of Open vSwitch
    [27] Onix: A Distributed Control Platform for Large-scale Production Networks
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