The Experts below are selected from a list of 18 Experts worldwide ranked by ideXlab platform
Aditya Thatte - One of the best experts on this subject based on the ideXlab platform.
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NOMS - Caching techniques for rapid provisioning of Virtual Servers in cloud environment
2012 IEEE Network Operations and Management Symposium, 2012Co-Authors: Manish Gupta, Manoj Soni, Aditya ThatteAbstract:Provisioning a Virtual Server Instance in cloud goes through an elaborate workflow, characterized by user request submission, search for the requested image template in image repository, transfer of the template file to compute hosts, followed by expansion and boot up. Optimizing any step in this workflow is crucial in reducing the service time. In this work, we focus on reducing average service time by masking the template file transfer time from repository, and preparing a VM Instance beforehand to service a request instantaneously. We use a strategy of pre-provisioning multiple VM Instances from different templates. The Instances to be pre-provisioned are determined based on request history. We show the benefits of our method using request trace from an enterprise grade cloud environment. Simulation results show more than 50% improvement in reducing average service time while delivering a Server Instance.
Esron Rikardo Nainggolan - One of the best experts on this subject based on the ideXlab platform.
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ANALISA DAN PERANCANGAN JARINGAN PRIVATE CLOUD COMPUTING BERBASIS WEB EYEOS
2016Co-Authors: Dicky Lumena, Anton Anton, Esron Rikardo NainggolanAbstract:Abstract — Private Cloud Computing is the model of Cloud Computing that provides a smaller scope to be able to provide certain services to specific users on an Enterprise scale companies. Expension of the company at Sutindo Raya Mulia, PT will add new employees and new computer devices and their software application that has a license. It will lead to the use of base Servers load in the company. In the Cloud Computing system base Servers, local no longer has to do all the heavy load when used for all resource Servers cloud computing will be the one using openstack. Openstack is a cloud OS that manages the resource for function of compute, storage, network, and can be implemented for the characteristics of Infrastructure as a Service (IAAS). OpenStack can be built through the Virtual Server Instance for eyeOS as one of cloud computing services Software As A Service (SAAS). Computer users simply install the browser on their computer can already implement in the company by using the eyeOS. Keywords: Cloud Computing, EyeOS, OpenStack
Nainggolan, Esron Rikardo - One of the best experts on this subject based on the ideXlab platform.
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ANALISA DAN PERANCANGAN JARINGAN PRIVATE CLOUD COMPUTING BERBASIS WEB EYEOS
'PPPM STMIK Nusa Mandiri', 2016Co-Authors: Lumena Dicky, Anton Anton, Nainggolan, Esron RikardoAbstract:Private Cloud Computing is the model of Cloud Computing that provides a smaller scope to be able to provide certain services to specific users on Enterprise scale companies. Expansion of the company at Sutindo Raya Mulia, PT will add new employees and new computer devices and their software application that has a license. It will lead to the use of base Servers load in the company. In the Cloud Computing system base Servers, local no longer has to do all the heavy load when used for all resource Servers cloud computing will be the one using OpenStack. OpenStack is a cloud OS that manages the resource for a function of computing, storage, network, and can be implemented for the characteristics of Infrastructure as a Service (IAAS). OpenStack can be built through the Virtual Server Instance for eyeOS as one of cloud computing services Software As A Service (SAAS). Computer users simply install the browser on their computer can already implement in the company by using the eyeOS.
Nainggolan E. R. - One of the best experts on this subject based on the ideXlab platform.
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Analisa dan Perancangan Jaringan Private Cloud Computing Berbasis Web Eyeos
'PPPM STMIK Nusa Mandiri', 2016Co-Authors: Lumena D., Anton A., Nainggolan E. R.Abstract:— Private Cloud Computing is the model of Cloud Computing that provides a smaller scope to be able to provide certain services to specific users on an Enterprise scale companies. Expension of the company at Sutindo Raya Mulia, PT will add new employees and new computer devices and their software application that has a license. It will lead to the use of base Servers load in the company. In the Cloud Computing system base Servers, local no longer has to do all the heavy load when used for all resource Servers cloud computing will be the one using openstack. Openstack is a cloud OS that manages the resource for function of compute, storage, network, and can be implemented for the characteristics of Infrastructure as a Service (IAAS). OpenStack can be built through the Virtual Server Instance for eyeOS as one of cloud computing services Software As A Service (SAAS). Computer users simply install the browser on their computer can already implement in the company by using the eyeOS
Manish Gupta - One of the best experts on this subject based on the ideXlab platform.
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NOMS - Caching techniques for rapid provisioning of Virtual Servers in cloud environment
2012 IEEE Network Operations and Management Symposium, 2012Co-Authors: Manish Gupta, Manoj Soni, Aditya ThatteAbstract:Provisioning a Virtual Server Instance in cloud goes through an elaborate workflow, characterized by user request submission, search for the requested image template in image repository, transfer of the template file to compute hosts, followed by expansion and boot up. Optimizing any step in this workflow is crucial in reducing the service time. In this work, we focus on reducing average service time by masking the template file transfer time from repository, and preparing a VM Instance beforehand to service a request instantaneously. We use a strategy of pre-provisioning multiple VM Instances from different templates. The Instances to be pre-provisioned are determined based on request history. We show the benefits of our method using request trace from an enterprise grade cloud environment. Simulation results show more than 50% improvement in reducing average service time while delivering a Server Instance.
