Cloudsim: simulator for cloud computing infrastructure and modeling

Goyal, Tarun; Singh, Ajit; Agrawal, Aakanksha

doi:10.1016/j.proeng.2012.06.412

Cited by 105 publications

(43 citation statements)

References 3 publications

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“…In order to evaluate the two new SLA-based VM-Scaling algorithms previously presented in Sections 6.1 and 6.2 we implemented them in CloudSim [28], which allowed us to run multiple simulations against the dEIS distributed application.…”

Section: Evaluation Resultsmentioning

confidence: 99%

Simulation of SLA-based VM-scaling algorithms for cloud-distributed applications

Antonescu

Braun

2016

Future Generation Computer Systems

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Cloud Computing has evolved to become an enabler for delivering access to large scale distributed applications running on managed network-connected computing systems. This makes possible hosting Distributed Enterprise Information Systems (dEISs) in cloud environments, while enforcing strict performance and quality of service requirements, defined using Service Level Agreements (SLAs). SLAs define the performance boundaries of distributed applications, and are enforced by a cloud management system (CMS) dynamically allocating the available computing resources to the cloud services. We present two novel VM-scaling algorithms focused on dEIS systems, which optimally detect most appropriate scaling conditions using performance-models of distributed applications derived from constant-workload benchmarks, together with SLA-specified performance constraints. We simulate the VMscaling algorithms in a cloud simulator and compare against trace-based performance models of dEISs. We compare a total of three SLA-based VMscaling algorithms (one using prediction mechanisms) based on a real-world application scenario involving a large variable number of users. Our results show that it is beneficial to use autoregressive predictive SLA-driven scaling algorithms in cloud management systems for guaranteeing performance invariants of distributed cloud applications, as opposed to using only reactive SLA-based VM-scaling algorithms.

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Section: Evaluation Resultsmentioning

confidence: 99%

Simulation of SLA-based VM-scaling algorithms for cloud-distributed applications

Antonescu

Braun

2016

Future Generation Computer Systems

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“…CloudSim is a simulation framework that enables us to simulate, model, and experience the cloud system [16]. The main nodes of ClouSim are Datacenters, hosts, VMs, cloudlets and brokers [17]. www.ijacsa.thesai.org…”

Section: Experimental Methodologymentioning

confidence: 99%

Task Scheduling in Cloud Computing using Lion Optimization Algorithm

Almezeini¹,

Hafez²

2017

ijacsa

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“…In order to evaluate the SAT-RBAC model, a simulation system is developed which includes 50 computing nodes based on CloudSim [20] in PlanetLab [21]. CloudSim is a generalized and extensible simulation framework for Cloud computing infrastructures and PlanetLab is a novel Internet plan that provides network service and application research platforms based on the overlay networks.…”

Section: Methodsmentioning

confidence: 99%

A Novel Role-based Access Control Model in Cloud Environments

Jun¹,

Wang²,

Gong³

et al. 2016

IJCIS

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In Cloud environments, the relationship between resources and users is more ad hoc and dynamic. The role-based access control (RBAC) model is an appropriate access control model for Cloud environments. When using the RBAC model in Cloud environments, some new elements should be considered. This paper proposes a SAT-RBAC model (security and availability based trust relationship in RBAC) and adopts the following elements as the main factors of a trust relationship: the security state and network availability of the host used by a user, the protection state of the service providers that are related to the role. A security-based scheduling model for Cloud environments is presented. Because of the uncertainty of Cloud environments, the trust relationship is divided into three zones: the unbelievable zone, the probable believable zone and the believable zone. Bayesian method is used to estimate the trust probability distribution in the probable believable zone. This paper also provides algorithms to evaluate the values of the main elements of a trust relationship. Finally, the experiments in simulated Cloud environment based on CloudSim in PlanetLab are discussed and the results prove that the SAT-RBAC model is effective in filtering abnormal behaviors in Cloud environments.

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Cloudsim: simulator for cloud computing infrastructure and modeling

Cited by 105 publications

References 3 publications

Simulation of SLA-based VM-scaling algorithms for cloud-distributed applications

Simulation of SLA-based VM-scaling algorithms for cloud-distributed applications

Task Scheduling in Cloud Computing using Lion Optimization Algorithm

A Novel Role-based Access Control Model in Cloud Environments

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