ReliaCloud‐NS: A scalable web‐based simulation platform for evaluating the reliability of cloud computing systems

This paper discusses the implementation, architecture, and use of a graphical web‐based application called ReliaCloud‐NS that allows users to (1) evaluate the reliability of a cloud computing system (CCS) and (2) design a CCS to a specified reliability level for both public and private clouds. The software was designed with a RESTful application programming interface for performing nonsequential Monte Carlo simulations to perform reliability evaluations of a CCS. Simulation results are stored and presented to the user in the form of interactive charts and graphs from within a web browser. The software contains multiple types of CCS components, simulations, and virtual machine allocation schemes. ReliaCloud‐NS also contains a novel feature that evaluates CCS reliability across a range of varying virtual machine allocations and establishes and graphs a CCS reliability curve. This paper discusses the software architecture, the interactive web‐based interface, and the different types of simulations available in ReliaCloud‐NS and presents an overview of the results generated from a simulation.

[1]  Rajkumar Buyya,et al.  NetworkCloudSim: Modelling Parallel Applications in Cloud Simulations , 2011, 2011 Fourth IEEE International Conference on Utility and Cloud Computing.

[2]  Vyacheslav Kharchenko,et al.  Semi-Markov Availability Models for an Infrastructure as a Service Cloud with Multiple Pools , 2016, ICTERI.

[3]  Dzmitry Kliazovich,et al.  GreenCloud: a packet-level simulator of energy-aware cloud computing data centers , 2010, The Journal of Supercomputing.

[4]  Jesús Carretero,et al.  Design of a New Cloud Computing Simulation Platform , 2011, ICCSA.

[5]  Jesús Carretero,et al.  iCanCloud: A Flexible and Scalable Cloud Infrastructure Simulator , 2012, Journal of Grid Computing.

[6]  Peter Kolbe.  The play! Framework , 2012 .

[7]  Henri Casanova,et al.  Simgrid: a toolkit for the simulation of application scheduling , 2001, Proceedings First IEEE/ACM International Symposium on Cluster Computing and the Grid.

[8]  Kishor S. Trivedi,et al.  DSN 2016 Tutorial: Reliability and Availability Modeling in Practice , 2016, 2016 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshop (DSN-W).

[9]  Mansoor Alam,et al.  Evaluation and design of highly reliable and highly utilized cloud computing systems , 2015, Journal of Cloud Computing.

[10]  Rajkumar Buyya,et al.  CloudAnalyst: A CloudSim-Based Visual Modeller for Analysing Cloud Computing Environments and Applications , 2010, 2010 24th IEEE International Conference on Advanced Information Networking and Applications.

[11]  Rajkumar Buyya,et al.  CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms , 2011, Softw. Pract. Exp..

[12]  Mercedes G. Merayo,et al.  MAScloud: A Framework Based on Multi-Agent Systems for Optimizing Cost in Cloud Computing , 2012, ICCCI.

[13]  Rajkumar Buyya,et al.  EMUSIM: an integrated emulation and simulation environment for modeling, evaluation, and validation of performance of Cloud computing applications , 2013, Softw. Pract. Exp..

[14]  Hannes Hartenstein,et al.  Confidential database-as-a-service approaches: taxonomy and survey , 2014, Journal of Cloud Computing.

[15]  Rajkumar Buyya,et al.  Cloudbus Toolkit for Market-Oriented Cloud Computing , 2009, CloudCom.

[16]  Mansoor Alam,et al.  Reliability and Utilization Evaluation of a Cloud Computing System Allowing Partial Failures , 2014, 2014 IEEE 7th International Conference on Cloud Computing.

[17]  Rajkumar Buyya,et al.  A toolkit for modelling and simulating data Grids: an extension to GridSim , 2008, Concurr. Comput. Pract. Exp..

[18]  Henri Casanova,et al.  SimGrid: A Generic Framework for Large-Scale Distributed Experiments , 2008, Tenth International Conference on Computer Modeling and Simulation (uksim 2008).

[19]  Ali Movaghar-Rahimabadi,et al.  Performance and power modeling and evaluation of virtualized servers in IaaS clouds , 2017, Inf. Sci..

[20]  Rajkumar Buyya,et al.  GridSim: a toolkit for the modeling and simulation of distributed resource management and scheduling for Grid computing , 2002, Concurr. Comput. Pract. Exp..

[21]  Rajkumar Buyya,et al.  Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: Challenges and opportunities , 2009, 2009 International Conference on High Performance Computing & Simulation.

[22]  Arun Kumar Sangaiah,et al.  Availability modeling for multi-tier cloud environment , 2017, Intell. Autom. Soft Comput..