CloudSim: A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services

TL;DR

CloudSim is a flexible, extensible simulation framework designed to model and analyze large-scale cloud computing infrastructures, enabling researchers to evaluate performance, energy consumption, and resource management policies effectively.

Contribution

It introduces a comprehensive simulation platform supporting large-scale cloud infrastructure modeling, virtualization, and flexible resource allocation policies, which was not available before.

Findings

Supports modeling of large-scale data centers on single nodes

Includes virtualization engine for managing multiple services

Allows switching between space-shared and time-shared resource allocation

Abstract

Cloud computing focuses on delivery of reliable, secure, fault-tolerant, sustainable, and scalable infrastructures for hosting Internet-based application services. These applications have different composition, configuration, and deployment requirements. Quantifying the performance of scheduling and allocation policy on a Cloud infrastructure (hardware, software, services) for different application and service models under varying load, energy performance (power consumption, heat dissipation), and system size is an extremely challenging problem to tackle. To simplify this process, in this paper we propose CloudSim: a new generalized and extensible simulation framework that enables seamless modelling, simulation, and experimentation of emerging Cloud computing infrastructures and management services. The simulation framework has the following novel features: (i) support for modelling and instantiation of large scale Cloud computing infrastructure, including data centers on a single physical computing node and java virtual machine; (ii) a self-contained platform for modelling data centers, service brokers, scheduling, and allocations policies; (iii) availability of virtualization engine, which aids in creation and management of multiple, independent, and co-hosted virtualized services on a data center node; and (iv) flexibility to switch between space-shared and time-shared allocation of processing cores to virtualized services.