MDCSim: A multi-tier data center simulation, platform

Lim, Seung-Hwan; Sharma, Bikash; Nam, Gunwoo; Kim, Eun Kyoung; Das, Chita R.

doi:10.1109/clustr.2009.5289159

Cited by 118 publications

(65 citation statements)

References 17 publications

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“…To the author's knowledge, the only tools that can simulate a real cloud system are CloudSim [7], MDCSim [17], and GreenCloud [16]. In the case of CloudSim [4], several research articles have been published with results obtained by using it [2,5,6,15].…”

Section: Introductionmentioning

confidence: 99%

iCanCloud: A Flexible and Scalable Cloud Infrastructure Simulator

et al. 2012

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Simulation techniques have become a powerful tool for deciding the best starting conditions on pay-as-you-go scenarios. This is the case of public cloud infrastructures, where a given number and type of virtual machines (in short VMs) are instantiated during a specified time, being this reflected in the final budget. With this in mind, this paper introduces and validates iCanCloud, a novel simulator of cloud infrastruc-tures with remarkable features such as flexibility, scalability, performance and usability. Further-more, the iCanCloud simulator has been built on the following design principles: (1) it's targeted to conduct large experiments, as opposed to oth-ers simulators from literature; (2) it provides a flexible and fully customizable global hypervisor for integrating any cloud brokering policy; (3) it reproduces the instance types provided by a given cloud infrastructure; and finally, (4) it contains a user-friendly GUI for configuring and launching simulations, that goes from a single VM to large cloud computing systems composed of thousands of machines.Keywords Cloud computing · Cloud computing simulator · Cloud hypervisor · Validation · Scalability 1 to solve a given computational problem. If the same software and configurations are needed, the VMs may be started using the same image. This way, a machine offered by a computing cloud may become whatever the user needs, from a standalone computer to a cluster or Grid node.Nowadays, cloud computing systems are increasing their role due to the fast (r)evolution of computer networks and communication technologies. A very clear proof of this fact is that very important companies like Amazon, Google, Dell, IBM, and Microsoft are investing billions of dollars in order to provide their own cloud solutions [28].As soon as the scientific community had access to cloud production infrastructures, the first applications started to run on the cloud [26,34]. In many Research areas, the leap from traditional cluster and Grid computing to this new paradigm has been mandatory, being the main reason an evolution in the computational needs of the applications [10]. A remarkable fact from this evolution is that in a pre-cloud environment, hardware defines the level of parallelism of an application. In cloud computing, the level of parallelism is defined by the application itself, as there is no restriction in the number of machines, and CPU availability is 100% guaranteed by standard.There

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Section: Introductionmentioning

confidence: 99%

iCanCloud: A Flexible and Scalable Cloud Infrastructure Simulator

et al. 2012

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“…It is a discrete occasion test system created at the Pennsylvania State University by Lim et al [20]. It empowers clients to demonstrate particular equipment qualities of various segments of a server farm like servers, correspondence connects and switches.…”

Section: MDC Simmentioning

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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“…Datacenters that host Cloud applications munch through enormous amounts of energy [14], and for this reason result in high operational costs and carbon footprints to the environment. Energy-aware tools [18] are the solution that allows the minimization of the power consumption in data center. The three common energy aware tools are ON/OFF method, migration mechanisms and Dynamic Voltage Frequency Scaling (DVS) Different method that helps in reducing the energy utilization has been projected.…”

Section: Comparison Of Dvs and Non -Dvs Methodsmentioning

confidence: 99%

A Metaphorical Research on Diversified Approaches of DVS Enabled Energy - Aware Cloud Data Centers under the Cloudsim Platform

C.Saranya¹

2015

IJIRCCE

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Energy has turn into one of the majority critical issues. Energy-efficient designs encompass engage in recreation significance roles for hardware as fine as software implementations. Energy-efficiency can be achieved by adopting the dynamic voltage scaling (DVS) scheme. DVS has been a solution scheme in exploiting to reduce energy dissipation by lowering the supply voltage and operating occurrence. In this dissertation we anticipated diversified approaches on DVS enabled Energy aware Cloud Data centers. DVS has implemented on every approaches with different mechanisms and it provides energy saving and different advantaged features of the system. The scrutiny of research would give the instruction concerning what has been done previously in the same area, what is the in attendance tendency and what are the other related areas, Comparison of algorithms imposed with DVS features under the Cloudsim. The analysis has resultant that the DVS has reduced the power and improve the system utilization.

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MDCSim: A multi-tier data center simulation, platform

Cited by 118 publications

References 17 publications

iCanCloud: A Flexible and Scalable Cloud Infrastructure Simulator

iCanCloud: A Flexible and Scalable Cloud Infrastructure Simulator

A Study on Simulation Tools in Cloud Computing

A Metaphorical Research on Diversified Approaches of DVS Enabled Energy - Aware Cloud Data Centers under the Cloudsim Platform

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