CDOSim: Simulating cloud deployment options for software migration support

Fittkau, Florian; Frey, Sören; Hasselbring, Wilhelm

doi:10.1109/mesoca.2012.6392599

Cited by 53 publications

(41 citation statements)

References 10 publications

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“…Whereas, tool-based approaches scores are average for QoS considering performance for migrating application optimization; for instance, Fittkau et al [19] propose a tool for optimizing migration of applications performance. However, as mentioned before in section 3, there is still a lack of tools to support applications migrations into the cloud infrastructure, and that requires more research investigation.…”

Section: Results Of the Comparative Evaluation And Challengesmentioning

confidence: 99%

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A Comparative Evaluation of State-of-the-Art Cloud Migration Optimization Approaches

Abdelmaboud

Jawawi

Ghani

et al. 2014

Advances in Intelligent Systems and Computing

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Abstract. Cloud computing has become more attractive for consumers to migrate their applications to the cloud environment. However, because of huge cloud environments, application customers and providers face the problem of how to assess and make decisions to choose appropriate service providers for migrating their applications to the cloud. Many approaches have investigated how to address this problem. In this paper we classify these approaches into non-evolutionary cloud migration optimization approaches and evolutionary cloud migration optimization approaches. Criteria including cost, QoS, elasticity and degree of migration optimization have been used to compare the approaches. Analysis of the results of comparative evaluations shows that a Multi-Objectives optimization approach provides a better solution to support decision making to migrate an application to the cloud environment based on the significant proposed criteria. The classification of the investigated approaches will help practitioners and researchers to deliver and build solid approaches.

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Section: Results Of the Comparative Evaluation And Challengesmentioning

confidence: 99%

“…Fittkau et al [19] have presented a tool approach known as "CDOSIM" for simulating cost and performance in terms of response time of cloud deployment options to support software systems migration. The results of the proposed approach are accurate prediction of performance (response time) and cost compared with Amazon EC2 and Eucalyptus.…”

Section: Ncmo Approachesmentioning

confidence: 99%

A Comparative Evaluation of State-of-the-Art Cloud Migration Optimization Approaches

Abdelmaboud

Jawawi

Ghani

et al. 2014

Advances in Intelligent Systems and Computing

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show abstract

“…• CDOSim: This [10] instrument is an augmentation of CloudSim test system which can recreate the SLA infringement, reaction times and expenses of a CDO (cloud sending alternative). It can reenact application models that take after the Knowledge Discovery Meta-Model (KDM).…”

Section: A Cloudsim and Its Expansionsmentioning

confidence: 99%

A Study on Simulation Tools in Cloud Computing

2018

IJRTER

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Abstract-today, distributed computing has turned into a promising worldview that goes for conveying figuring assets and administrations on request. The reception of these administrations has been quickly expanding. One of the fundamental issues in this setting is the manner by which to assess the capacity of cloud frameworks to give the coveted administrations while regarding the QoS requirements. Experimentation in a genuine situation is a difficult issue. Truth be told, the monetary cost and the time required are high. Likewise, the examinations are not repeatable, on the grounds that various factors that are not under control of the analyzer may influence exploratory outcomes. Accordingly, utilizing reenactment structures to assess cloud applications is favored. This paper introduces a study of the current simulation instruments in distributed computing. It gives likewise a basic and similar investigation of the considered instruments. At last, it emerges a noteworthy test to be tended to for additionally inquire about.

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“…CDOSim [13] is a cloud deployment options (CDO) extending CloudSim. It can simulate CDO's response time, SLA violations, and costs.…”

Section: E Cdosimmentioning

confidence: 99%

Nutshell: Cloud Simulation and Current Trends

Rahman

Hakeem

Raheem

et al. 2015

2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity)

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Cloud computing has experienced enormous popularity and adoption in many areas, such as research, medical, web, and e-commerce. Providers, like Amazon, Google, Microsoft, and Yahoo have deployed their cloud services for use. Cloud computing pay-as-you-go model, on demand scaling, and low maintenance cost has attracted many users. The widespread adoption of cloud paradigm upshots various challenges. The legacy data center and cloud architectures are unable to handle the escalating user demands. Therefore, new data center network architectures, policies, protocols and topologies are required. However, new solutions must be tested thoroughly, before deployment within a real production environment. As the experimentation and testing is infeasible in the production environment and real cloud setup, therefore, there is an indispensable need for simulation tools that provide ways to model and test applications, and estimate cost, performance, and energy consumption of services and application within cloud environment. Simulation tools providing cloud simulation environments currently are limited in terms of features and realistic cloud setups, focus on a particular problem domain, and require tool-specific modeling, which can be frustrating and time consuming. This paper aims to provide a detailed comparison of various cloud simulators, discuss various offered features, and highlight their strengths and limitations. Moreover, we also demonstrate our work on a new cloud simulator "Nutshell", which offers realistic cloud environments and protocols. The Nutshell is designed to diminish flaws and limitations of available cloud simulators, by offering: (a) multiple datacenter network architectures, like three-tier, fattree, and dcell, (b) fine grained network details, (c) realistic cloud traffic patterns, (d) congestion control strategies and analysis, (e) energy consumption, (f) cost estimation, and (g) data center monitoring and analysis. Flexibility to stretch the architectures to simulate smart city IT infrastructure.

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CDOSim: Simulating cloud deployment options for software migration support

Cited by 53 publications

References 10 publications

A Comparative Evaluation of State-of-the-Art Cloud Migration Optimization Approaches

A Comparative Evaluation of State-of-the-Art Cloud Migration Optimization Approaches

A Study on Simulation Tools in Cloud Computing

Nutshell: Cloud Simulation and Current Trends

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