Multi-agent based dynamic resource provisioning and monitoring for cloud computing systems infrastructure

Al‐Ayyoub, Mahmoud; Jararweh, Yaser; Daraghmeh, Mustafa; Althebyan, Qutaibah

doi:10.1007/s10586-015-0449-5

Cited by 100 publications

(38 citation statements)

References 8 publications

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“…VCS simulator [24] Text-based Text User-defined Yes GridSim [25,26] Modified source code Chart None Yes ClusterSim [27] Clustering-based Text User-defined Yes CloudSim [28] Text …”

Section: Setup Methods Visualization Clustering Organization Simulationmentioning

confidence: 99%

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DIaaS: Resource Management System for the Intra-Cloud with On-Premise Desktops

et al. 2017

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Infrastructure as a service with desktops (DIaaS) based on the extensible mark-up language (XML) is herein proposed to utilize surplus resources. DIaaS is a traditional surplus-resource integrated management technology. It is designed to provide fast work distribution and computing services based on user service requests as well as storage services through desktop-based distributed computing and storage resource integration. DIaaS includes a nondisruptive resource service and an auto-scalable scheme to enhance the availability and scalability of intra-cloud computing resources. A performance evaluation of the proposed scheme measured the clustering performance time for surplus resource utilization. The results showed improvement in computing and storage services in a connection of at least two computers compared to the traditional method for high-availability measurement of nondisruptive services. Furthermore, an artificial server error environment was used to create a clustering delay for computing and storage services and for nondisruptive services. It was compared to the Hadoop distributed file system (HDFS).

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“…VCS simulator [24] Text-based Text User-defined Yes GridSim [25,26] Modified source code Chart None Yes ClusterSim [27] Clustering-based Text User-defined Yes CloudSim [28] Text …”

Section: Setup Methods Visualization Clustering Organization Simulationmentioning

confidence: 99%

“…Existing studies on distributed resource clustering techniques and clustering visualization are outlined in Table 2 [23][24][25][26][27]. Table 2.…”

Section: Introductionmentioning

confidence: 99%

DIaaS: Resource Management System for the Intra-Cloud with On-Premise Desktops

et al. 2017

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“…This method is used to match the existing resources with the consumer current needs and demands with more good and reasonable way. In this way the element of elasticity is helpful to overcome the problem of under and over provisioning and also helpful in good and appropriate dynamic resource provisioning [14].…”

Section: Dynamic Resource Provisioningmentioning

confidence: 99%

Investigating Methods of Resource Provisioning Mechanisms in Cloud: A Review

Malik¹,

Anwar²,

Ilyas³

et al. 2018

ijacsa

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Abstract-Delivering information through cloud computing become a modern computation. For this purpose, electronic device is required to access with an active web server. For delivering different resources, the cloud supplier provides computing power for the cloud users to organize their multiple type of application at any time on different platforms. In cloud computing, the main drawback is relevant to the best use of resources as well as resource provisioning. In cloud computing there is a lack of desired resources that is why the cloud resource provision becomes a daring work. To maintain the quality of services, the provisioning of reasonable resources is need of workloads. The main problem is to find the appropriate workload that depends on the cloud user that is related to resource pair application requirements. This paper reveals the cloud resource provisioning and identification in general and in specific, respectively. In this paper, a methodical analysis of resource provisioning in cloud computing is presented, in which resource provisioning, different types of resource provisioning mechanisms and their comparisons, and benefits are described.

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“…CloudExp used to simulate different types of configurations with different objectives. The work in [26] presented a multi-agent-based dynamic resource provisioning and monitoring for cloud computing system infrastructure. CloudExp is extended to support the multi-agent approach for resource management.…”

Section: Cloudexp Simulatormentioning

confidence: 99%

Experimental comparison of simulation tools for efficient cloud and mobile cloud computing applications

Bahwaireth

Tawalbeh

Benkhelifa

et al. 2016

EURASIP J. on Info. Security

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Cloud computing provides a convenient and on-demand access to virtually unlimited computing resources. Mobile cloud computing (MCC) is an emerging technology that integrates cloud computing technology with mobile devices. MCC provides access to cloud services for mobile devices. With the growing popularity of cloud computing, researchers in this area need to conduct real experiments in their studies. Setting up and running these experiments in real cloud environments are costly. However, modeling and simulation tools are suitable solutions that often provide good alternatives for emulating cloud computing environments. Several simulation tools have been developed especially for cloud computing. In this paper, we present the most powerful simulation tools in this research area. These include CloudSim, CloudAnalyst, CloudReports, CloudExp, GreenCloud, and iCanCloud. Also, we perform experiments for some of these tools to show their capabilities.

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Multi-agent based dynamic resource provisioning and monitoring for cloud computing systems infrastructure

Cited by 100 publications

References 8 publications

DIaaS: Resource Management System for the Intra-Cloud with On-Premise Desktops

DIaaS: Resource Management System for the Intra-Cloud with On-Premise Desktops

Investigating Methods of Resource Provisioning Mechanisms in Cloud: A Review

Experimental comparison of simulation tools for efficient cloud and mobile cloud computing applications

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