Cost of Virtual Machine Live Migration in Clouds: A Performance Evaluation

Voorsluys, William; Broberg, James; Venugopal, Srikumar; Buyya, Rajkumar

doi:10.1007/978-3-642-10665-1_23

Cited by 371 publications

(244 citation statements)

References 11 publications

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“…For example, 99.999% guaranteed availability means 5 minutes downtime per year. Non-compliance to such SLAs can lead to (monetary) penalties for the providers and can harm their reputation [44]. Reputational damage leads to economical long-term consequences, because the consumer's trust in the service might be lost and fewer customers might use the provider's services in future.…”

Section: Decision Enginementioning

confidence: 99%

“…Based on the model presented by Salfner et al [36] and the characteristics of our architecture, the migration time and downtime will be predicted and measured. Voorsluys et al [44] performed experiments to evaluate the cost of migration of VMs considering service disruptions and violations of SLAs. They concluded that most SLAs can still be met when migrations are performed, so that the reputational harm is within limits.…”

Section: Decision Enginementioning

confidence: 99%

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CloudIDEA: A Malware Defense Architecture for Cloud Data Centers

Fischer

Kittel

Kolosnjaji

et al. 2015

Lecture Notes in Computer Science

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Abstract. Due to the proliferation of cloud computing, cloud-based systems are becoming an increasingly attractive target for malware. In an Infrastructure-as-a-Service (IaaS) cloud, malware located in a customer's virtual machine (VM) affects not only this customer, but may also attack the cloud infrastructure and other co-hosted customers directly. This paper presents CloudIDEA, an architecture that provides a security service for malware defense in cloud environments. It combines lightweight intrusion monitoring with on-demand isolation, evidence collection, and in-depth analysis of VMs on dedicated analysis hosts. A dynamic decision engine makes on-demand decisions on how to handle suspicious events considering cost-efficiency and quality-of-service constraints.

show abstract

Section: Decision Enginementioning

confidence: 99%

Section: Decision Enginementioning

confidence: 99%

CloudIDEA: A Malware Defense Architecture for Cloud Data Centers

Fischer

Kittel

Kolosnjaji

et al. 2015

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…In a cloud environment, usually the VMs experience low CPU utilization, with 30% average [105] and usually having daily, weekly and monthly seasonality [64]. This helps to predict the resource utilization and do a better allocation by taking into account the quantity of resources that a VM will use, in fact enabling using the virtual machine live migration as a load balancing method [150].…”

Section: Resource-allocation Planning and Utilisation Forecastingmentioning

confidence: 99%

“…Migration time is estimated using a linear dependency [150,76,114] between the amount of VM's reserved memory and CPU utilization, as expressed by formula 6.5. The formula could be extended with other factors, such as the average network bandwidth utilization, as the calculation method would remain the same: applying the superposition principle [119].…”

Section: Resource-allocation Planning and Utilisation Forecastingmentioning

confidence: 99%

Service level agreements-driven management of distributed applications in cloud computing environments

Antonescu

Braun

2015

2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)

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“…In this system, for transparent migration of virtual infrastructures between client and server, involve many challenges such as IP address sharing, bandwidth sharing and isolation from local home network traffic etc. [18][25]. They overcome the problem and provide variety of solutions on managing a personal Cloud.…”

Section: Related Workmentioning

confidence: 99%

An Cost Effective Approach for Provisioning In a Cloud

Ghorpade¹,

Wanjari²

2014

IJIRSET

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ABSTRACT:Cloud computing is becoming popular Buzzword today. Cloud computing provides opportunity to dynamically scale the computing resources for applications, which is shared among customers using virtualization technology. Infrastructure as a Service (IaaS) allows the cloud provider freely locate the infrastructure over the internet in cost-effective manner by migrating in the form of virtual machine. A resource monitoring system, monitors utilization of resources of host machine can be used as a base criteria for determining idle machine. Utilizing this types of idle machines results in effective utilization of machine, energy saving etc. Hence, proposed system uses collection of Virtual Machines (VMs) running on unused computers at the edge and allocate them dynamically, based on user demands. Proposed system is Designed and implemented as an inventory management system in which server manages heterogeneous system, handles end-user request and serve them effective virtual machine. There are three main issues discussed in this paper (I) -Resource monitoring and connection establishment‖ (II) -Inventory management system‖ i.e. finding efficient virtual machine and allocating them. (III) -Reallocation of the Virtual Machines‖, re-configuring the VM if required Machines configuration is not available on cloud side. This paper analyses problem from the perspective of an end-users like small and middle organization. Which uses cloud Services in order to achieve scalable provisioning with respect to Qos constraints.

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Cost of Virtual Machine Live Migration in Clouds: A Performance Evaluation

Cited by 371 publications

References 11 publications

CloudIDEA: A Malware Defense Architecture for Cloud Data Centers

CloudIDEA: A Malware Defense Architecture for Cloud Data Centers

Service level agreements-driven management of distributed applications in cloud computing environments

An Cost Effective Approach for Provisioning In a Cloud

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