Package com.net2plan.examples.ocnbook.onlineSim

Examples of online event processors and event generators corresponding for event-driven simulation, corresponding to case studies in this book.

See: Description

Class Summary

Class	Description
Online_evGen_generalGenerator	Generates events to a technology-agnostic network, consisting of connection requests/releases and failures and repairs.
Online_evProc_adaptiveRoutingDual	This module implements a distributed dual-gradient based algorithm, for iteratively adapting the network routing.
Online_evProc_adaptiveRoutingPrimal	This module implements a distributed primal-gradient based algorithm, for iteratively adapting the network routing.
Online_evProc_backpressureRoutingDual	This module implements a distributed dual-gradient based algorithm for adapting the network routing to the one which minimizes the average number of hops, that results in a purely decentralized backpressure scheme.
Online_evProc_congControlAndBackpressureRoutingDualDecomp	This module implements a distributed dual-decomposition-based gradient algorithm, for a coordinated adjustment of the traffic to inject by each demand (congestion control), and the routing (backpressure based) of this traffic in the network, to maximize the network utility enforcing a fair allocation of the resources.
Online_evProc_congControlAndQoSTwoClassesPrimalDecomp	This module implements a distributed primal-decomposition-based gradient algorithm, for a coordinated adjustment of the congestion control of two types of demands (with different utility functions), and the fraction of each link capacity to grant to the traffic of each type, to maximize the network utility enforcing a fair allocation of the resources.
Online_evProc_congControlAndTransmissionPowerAssignmentDualDecomp	This module implements a distributed dual-decomposition-based gradient algorithm, for a coordinated adjustment of the traffic to inject by each demand (congestion control), and the transmission power in each link of the underlying wireless network, to maximize the network utility enforcing a fair allocation of the resources.
Online_evProc_congestionControlDual	This module implements a distributed dual-gradient based algorithm, for adapting the demand injected traffic (congestion control) in the network, to maximize the network utility enforcing a fair allocation of the resources.
Online_evProc_congestionControlPrimal	This module implements a distributed primal-gradient based algorithm using a barrier function, for adapting the demand injected traffic (congestion control) in the network, to maximize the network utility enforcing a fair allocation of the resources.
Online_evProc_csmaBackoffOptimizationDual	This module implements a distributed dual-gradient based algorithm for adjusting the backoff windows sizes in a wireless network with a CSMA-mased MAC, to maximize the network utility enforcing a fair allocation of the resources.
Online_evProc_generalProcessor	Implements the reactions of a technology-agnostic network to connection requests under various CAC options, and reactions to failures and repairs under different recovery schemes.
Online_evProc_multidomainRoutingPrimalDecomp	This module implements a distributed primal-decomposition-based gradient algorithm, for a coordinated adjustment of the routing in multiple domains (or cluster, or autonomous systems) in a network, so that domains do not need to exchange sensitive internal information, and minimize the average number of hops in the network.
Online_evProc_persistenceProbAdjustmentPrimal	This module implements a distributed primal-gradient based algorithm for adjusting the link persistence probabilities in a wireless network with a ALOHA-type random-access based MAC, to maximize the network utility enforcing a fair allocation of the resources.
Online_evProc_powerAssignmentPrimal	This module implements a distributed primal-gradient based algorithm for adjusting the transmission power of the links in a wireless network subject to interferences, to maximize the network utility enforcing a fair allocation of the resources.

Package com.net2plan.examples.ocnbook.onlineSim Description

Examples of online event processors and event generators corresponding for event-driven simulation, corresponding to case studies in this book.

P. Pavon-Marino, Optimization of computer networks. Modeling and algorithms. A hands-on approach, Wiley 2016.

Each algorithm Javadoc includes a brief explanation of its use, and a reference to the book section where a full description is provided.