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Phase Type and Matrix Exponential Distributions in Stochastic Modeling Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Service Reliability Enhancement in Cloud by Checkpointing and Replication

Authors : Subrota K. Mondal, Fumio Machida, Jogesh K. Muppala

Published in: Principles of Performance and Reliability Modeling and Evaluation

Publisher: Springer International Publishing

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Abstract

Virtual machines (VMs) are used in cloud computing systems to handle user requests for service. A user’s request cannot be completed if the VM fails. Replication mechanisms can be used to mitigate the impact of VM failures. In this chapter, we are primarily interested in characterizing the failure–recovery behavior of a VM in the cloud under different replication schemes. We use a service-oriented dependability metric called Defects Per Million (DPM), defined as the number of user requests dropped out of a million due to VM failures. We present an analytical modeling approach for computing the DPM metric in different replication schemes on the basis of the checkpointing method. The effectiveness of replication schemes are demonstrated through experimental results. To verify the validity of the proposed analytical modeling approach, we extend the widely used cloud simulator CloudSim and compare the simulation results with analytical solutions.

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previous chapter Reliability Analysis of a Cloud Computing System with Replication: Using Markov Renewal Processes
next chapter Linear Algebraic Methods in RESTART Problems in Markovian Systems
Literature
1.
Ghosh R, Longo F, Naik VK, Trivedi KS (2013) Modeling and performance analysis of large scale iaas clouds. Future Gener Comput Syst 29(5):1216–1234CrossRef
2.
Avizienis A, Laprie J-C, Randell B, Landwehr C (2004) Basic concepts and taxonomy of dependable and secure computing. IEEE Trans Dependable Secure Comput 1(1):11–33CrossRef
3.
Bauer E, Adams R (2012) Reliability and availability of cloud computing. Wiley-IEEE Press
4.
Trivedi K, Wang D, Hunt J (2010) Computing the number of calls dropped due to failures. In: IEEE 21st international symposium on software reliability engineering (ISSRE). IEEE, pp 11–20
5.
Mondal S, Yin X, Muppala J, Alonso Lopez J, Trivedi K (2015) Defects per million computation in service-oriented environments. In: IEEE transactions on services computing, vol 8, no 1, pp 32–46
6.
7.
8.
Systems C (2004) Introduction to performance management
9.
Johnson C, Kogan Y, Levy Y, Saheban F, Tarapore P (2004) Voip reliability: a service provider’s perspective. IEEE Commun Mag 42(7):48–54 JulyCrossRef
10.
Mondal SK, Muppala JK, Machida F, Trivedi KS (2014) Computing defects per million in cloud caused by virtual machine failures with replication. In: IEEE 20th Pacific Rim international symposium on dependable computing (PRDC). IEEE, pp 161–168
11.
12.
Mondal SK, Muppala JK (2014) Defects per million (dpm) evaluation for a cloud dealing with vm failures using checkpointing. In: 44th annual IEEE/IFIP international conference on dependable systems and networks (DSN). IEEE, pp 672–677
13.
Di S, Kondo D, Cappello F (2013) Characterizing cloud applications on a google data center. In: 42nd international conference on parallel processing (ICPP). IEEE, pp 468–473
14.
Ben-Yehuda O, Schuster A, Sharov A, Silberstein M, Iosup A (2012) Expert: Pareto-efficient task replication on grids and a cloud. In: IEEE 26th international parallel distributed processing symposium (IPDPS), pp 167–178
15.
16.
Calheiros R, Ranjan R, De Rose C, Buyya R (2009) Cloudsim: a novel framework for modeling and simulation of cloud computing infrastructures and services. arXiv:​0903.​2525
17.
Calheiros R, Ranjan R, Beloglazov A, De Rose C, Buyya R (2011) Cloudsim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Softw: Pract Exper 41(1):23–50
18.
Mondal SK, Muppala JK (2014) Energy modeling of different virtual machine replication schemes in a cloud data center. In: IEEE international conference on internet of things (iThings), and green computing and communications (GreenCom), IEEE and cyber, physical and social computing (CPSCom). IEEE, pp 486–493
19.
Machida F, Nicola VF, Trivedi KS (2014) Job completion time on a virtualized server with software rejuvenation. ACM J Emerg Technol Comput Syst (JETC) 10(1):10
Metadata
Title
Service Reliability Enhancement in Cloud by Checkpointing and Replication
Authors
Subrota K. Mondal
Fumio Machida
Jogesh K. Muppala
Copyright Year
2016
Book
Principles of Performance and Reliability Modeling and Evaluation

Print ISBN: 978-3-319-30597-4

Electronic ISBN: 978-3-319-30599-8

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-30599-8_16