Migration-based virtual machine placement in cloud systems

Li, Kangkang; Zheng, Huanyang; Wu, Jie

doi:10.1109/cloudnet.2013.6710561

Cited by 62 publications

(26 citation statements)

References 30 publications

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“…This is optimized by having an informed sequence of migration [9] and choosing the migration technique according to workload. Live migration has two major techniques-Precopy and Postcopy [10]. …”

Section: Resultsmentioning

confidence: 99%

Load Management Model for cloud Computing Using Cloudsim

Srivastava¹,

Gohil²,

Patel³

2017

IJCTE

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Abstract-Cloud computing is an upcoming trend in the field of distributed computing in recent years. In cloud, resources are provided as a service in the form of virtual machines to its clients based on demand, which may result in overutilization or underutilization of servers.Cloud must accommodate changing demands for different types of processing with heterogeneous workloads and time constraints. This can be achieved by making decisions of Virtual Machine (VM) allocation and migration request time at the run time. We have evaluated the Load Management model for cloud computing using CloudSim simulator and compared with the default existing VM-Allocation algorithm. The results depict that the model reduces the number of overutilized hosts significantly and also an improved task execution time, thus increasing the performance overall.Index Terms-Dynamic load balancing, virtual machines (VM), VM distribution, cloudsim.

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Section: Resultsmentioning

confidence: 99%

Load Management Model for cloud Computing Using Cloudsim

Srivastava¹,

Gohil²,

Patel³

2017

IJCTE

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“…The problem of placement, migration and scheduling of VMs across a cluster of PMs has been investigated in the past few years, and a number of related approaches have been proposed [6][7][8]. Bazarbayev et al [9] propose a content-based scheduling algorithm for VM placement in cloud data centers, by utilizing similarity between VM disk images.…”

Section: Related Workmentioning

confidence: 99%

A Cross-Entropy-Based Admission Control Optimization Approach for Heterogeneous Virtual Machine Placement in Public Clouds

Pan

Wang²

2016

Entropy

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Virtualization technologies make it possible for cloud providers to consolidate multiple IaaS provisions into a single server in the form of virtual machines (VMs). Additionally, in order to fulfill the divergent service requirements from multiple users, a cloud provider needs to offer several types of VM instances, which are associated with varying configurations and performance, as well as different prices. In such a heterogeneous virtual machine placement process, one significant problem faced by a cloud provider is how to optimally accept and place multiple VM service requests into its cloud data centers to achieve revenue maximization. To address this issue, in this paper, we first formulate such a revenue maximization problem during VM admission control as a multiple-dimensional knapsack problem, which is known to be NP-hard to solve. Then, we propose to use a cross-entropy-based optimization approach to address this revenue maximization problem, by obtaining a near-optimal eligible set for the provider to accept into its data centers, from the waiting VM service requests in the system. Finally, through extensive experiments and measurements in a simulated environment with the settings of VM instance classes derived from real-world cloud systems, we show that our proposed cross-entropy-based admission control optimization algorithm is efficient and effective in maximizing cloud providers' revenue in a public cloud computing environment.

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“…if a VM finished its service duration and released its occupied resources in a particular server, the following qualifications must be guaranteed before performing VM migration to that server: (i) the target server has enough capacity to host the migrated VM, (ii) the migration will save some resources, (iii) the migration will not increase the migrated VM duration. If all these conditions are satisfied, then the migration can be done [21].…”

Section: Virtualization and Vm Migrationhmentioning

confidence: 99%

Energy efficient resource provisioning with VM migration heuristic for Disaggregated Server design

Ali

Al-Salim

Lawey

et al. 2016

2016 18th International Conference on Transparent Optical Networks (ICTON)

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This article introduces an energy efficient heuristic that performs resource provisioning and Virtual Machine (VM) migration in the Disaggregated Server (DS) schema. The DS is a promising paradigm for future data centers where servers' components are disaggregated at the hardware unit levels and resources of similar type are combined in type respective pools, such as processing pools, memory pools and IO pools. We examined 1000 VM requests that demand various processing, memory and IO requirements. Requests have exponentially distributed inter arrival time and with uniformly distributed service duration periods. Resources occupied by a certain VM are released when the VM finishes its service duration. The heuristic optimises VMs allocation and dynamically migrates existing VMs to occupy newly released energy efficient resources. We assess the energy efficiency of the heuristic by applying increasing service duration periods. The results of the numerical simulation indicate that our power savings can reach up to 55% when compared to our pervious study where VM service duration is infinite and resources are not released. Keywords: Virtual Machine, VM Migration, Disaggregated Server, data center, energy consumption. INTRODUCTIONNowadays, virtualization within cloud computing are becoming prevalent technologies that greatly shape our lives, and accordingly, the energy consumption of the physical infrastructure that provides resources for the clouds is growing [1]. Thus, energy management is becoming a key challenge for data centers to reduce all their energy consumption and their total costs. A number of energy efficient data centre and inter data centre network architectures were proposed and studied in [2]- [7].Serious concerns are raised currently regarding traditional server and networking design and significant research efforts were dedicated to improve the design of switches and servers, leading to new paradigms for future data centers designs [8]- [19].In , and different disaggregated server architectures were introduced by presenting the memory and IO ports as separate blades from the server block allowing resources to be disaggregated across a system to enable data centers vertical elasticity. In [17] and [18] the energy sufficiency potential of the DS architecture was studied considering the resource provisioning and VM allocation. In [19] a comprehensive review of the DS was introduced.A DS based data centre, shown in Fig. 1, is a departure from the conventional (Single box Server) to disaggregated resources combined in resource pools. With DS, the different server resources are disaggregated from each other and combined with resources of the same type in resources pool constructing CPU pools, memory pools and IO pools. However the communication among resources within the same pool (Intra Rack Fabric in Fig. 1) or resources from different pools (Inter Rack Fabric in Fig. 1) is an important point that must be managed efficiently.In this paper, we consider a DS-based data center as a new data cente...

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Migration-based virtual machine placement in cloud systems

Cited by 62 publications

References 30 publications

Load Management Model for cloud Computing Using Cloudsim

Load Management Model for cloud Computing Using Cloudsim

A Cross-Entropy-Based Admission Control Optimization Approach for Heterogeneous Virtual Machine Placement in Public Clouds

Energy efficient resource provisioning with VM migration heuristic for Disaggregated Server design

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