Cloud Resource Allocation Simulator

1. Introduction

This is a Event-based Simulator for Cloud Resource Allocation Problem we researched in this Paper: Service Function Chain Embedding in Centralized and Distributed Data Centers – a Comparison

This Simulator is developed in Python Programming Language, using these Libraries:

Require Python version >= 3.6

Simulator: Control simulator operations, schedule processing of SFCs, log activities, initialize other components of the simulation
Logger: Logging output to file
Substrate: Represents each Substrate Topology (Big Topo), storing the structure of the Substrate and the structure of the DC. Specific Substrates are implemented as Realizations of this class
Ingress: Represents Ingress nodes, having the function of generating SFC according to a given distribution
Application: Definition of the structure and parameters of the SFC
Distribution: generate the interval between 2 SFCs according to the distribution installed as Realizations of this class
Selector: contains the algorithm to put the SFC on the server, the algorithms are implemented as Realizations of this class
SubstrateSelector: contains the DC selection algorithm to set the SFC, the algorithms are implemented as Realizations of this class
DataCentre: represents each DC, consider whether the SFC can be put in, clear the SFC after the SFC TTL timeout

To add your Substrate Topology, create a new class that inherits the Substrate class in Substrate.py with corresponding methods. Resource specification (capacity of bandwidth) is created in substrate_topo method
By default, Servers and Switches in each Datacentre is organized like Fat-tree Topology. To custom this, edit DC_topo method in in your Substrate class
To add your Distribution, create a new class that inherits the Distribution class in Distribution.py with corresponding methods.
Custom Algorithm for placing SFC is implemented as an instance of Selector class