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In this section we present a congestion control strategy called selective aggressiveness control (SAC) and show its ef cacy at exploiting the predictability structure present in long-range dependent traf c for improving network performance. Our control scheme is a form of predictive congestion control based on the multiple time scale congestion control framework (MTSC) [46]. Explicit prediction of the long term network state l is performed at SAC's time scale (1 5 seconds). A certain control action e l is made by SAC based on this information about the future and is incorporated into the underlying congestion control to affect traf c control decisions. The overall structure is shown in Figure 18.5. SAC is aimed to be robust, ef cient, and portable such that it can easily be incorporated into existing congestion control schemes. SAC's modus operandi is to complement and help improve the performance of existing reactive congestion controls. Toward this end, we set up a simple, generic rate-based feedback congestion control as a reference and let our control module ``run on top'' of it. SAC always respects the decision made by the underlying congestion control with respect to the directional change of the traf c rate up or down; however, it may choose to adjust the magnitude of change. That is, if, at any time, the underlying congestion control decides to increase its sending rate, SAC will never take the opposite action and decrease the sending rate. Instead, what SAC



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Contents Verification and Testing State Transition Diagrams Testing the Works Managing Failovers System Monitoring Consoles Utilities Time Matters Other Clustering Topics Replicated Data Clusters Distance between Clusters Load-Balancing Clusters and Failover Key Points 17 Failover Configurations Two-Node Failover Configurations Active-Passive Failover Active-Passive Issues and Considerations How Can I Use the Standby Server Active-Active Failover Active-Active or Active-Passive Service Group Failover Larger Cluster Configurations N-to-1 Clusters N-Plus-1 Clusters How Large Should Clusters Be Key Points 18 Data Replication What Is Replication Why Replicate Two Categories of Replication Types Four Latency-Based Types of Replication Latency-Based Type 1: Synchronous Replication Latency-Based Type 2: Asynchronous Replication Latency-Based Type 3: Semi-Synchronous Replication Latency-Based Type 4: Periodic, or Batch-Style, Replication Five Initiator-Based Types of Replication Initiator-Based Type 1: Hardware-Based Replication Initiator-Based Type 2: Software-Based Replication Initiator-Based Type 3: Filesystem-Based Replication Initiator-Based Type 4: Application-Based Replication Initiator-Based Type 5: Transaction Processing Monitors Other Thoughts on Replication SANs: Another Way to Replicate More than One Destination Remote Application Failover Key Points 404 405 407 408 408 409 410 410 411 411 413 413 414 415 416 416 417 418 421 424 425 426 426 428 430 431 433 434 435 435 435 436 438 439 439 441 441 443 444 450 454 458 458 459 462 463





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Fig. 18.5 The overall structure of predictive congestion control. SAC module is active at time scale (1 5 sec) exceeding the time scale of the underlying congestion control of its feedback loop.

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Contents 19 Virtual Machines and Resource Management Partitions and Domains: System-Level VMs Containers and Jails: OS Level VMs Resource Management Key Points 20 The Disaster Recovery Plan Should You Worry about DR Three Primary Goals of a DR Plan Health and Protection of the Employees The Survival of the Enterprise The Continuity of the Enterprise What Goes into a Good DR Plan Preparing to Build the DR Plan Choosing a DR Site Physical Location Considerations in Selecting DR Sites Other Options DR Site Security How Long Will You Be There Distributing the DR Plan What Goes into a DR Plan So What Should You Do The Plan s Audience Timelines Team Assignments Assigning People Management s Role How Many Different Plans Shared DR Sites Equipping the DR Site Is Your Plan Any Good Qualities of a Good Exercise Planning for an Exercise Possible Exercise Limitations Make It More Realistic Ideas for an Exercise Scenario After the Exercise Three Types of Exercises Complete Drill Tabletop Drill Phone Chain Drill The Effects of a Disaster on People Typical Responses to Disasters What Can the Enterprise Do to Help Key Points 465 466 468 469 471 473 474 475 475 476 476 476 477 484 484 485 486 487 488 488 488 490 490 492 493 493 494 495 496 498 500 500 501 503 503 504 507 507 507 508 508 509 509 510 512

will do is amplify or diminish the magnitude of the directional change based on its predicted future network state. In a nutshell, SAC will try to aggresively soak up bandwidth if it predicts the future network state to be ``idle,'' adjusting the level of aggressiveness as a function of the predicted idleness. We will show that the performance gain due to SAC is higher the more long-range dependent the network traf c is. 18.4.1 Underlying Congestion Control

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