SoftUDC: a software-based data center for utility computing

Kallahalla, Mahesh; Uysal, Mustafa; Swaminathan, Ram; Lowell, David E.; Wray, Mike; Christian, Tom; Edwards, Nigel; Dalton, Chris; Gittler, Frederic

doi:10.1109/mc.2004.221

Cited by 60 publications

(27 citation statements)

References 6 publications

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“…We briefly describe the sequence of events involved in receiving a packet -the numbers correspond to those marked in Figure 3.When the hardware receives the packet (1), it raises an interrupt trapped by Xen (2). Xen then determines the domain responsible for the device and posts a virtual interrupt to the corresponding driver domain via the event channel (3).…”

Section: Network I/o Accountingmentioning

confidence: 99%

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Enforcing Performance Isolation Across Virtual Machines in Xen

Gupta

Cherkasova

Gardner

et al. 2006

Lecture Notes in Computer Science

177

167

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Abstract. Virtual machines (VMs) have recently emerged as the basis for allocating resources in enterprise settings and hosting centers. One benefit of VMs in these environments is the ability to multiplex several operating systems on hardware based on dynamically changing system characteristics. However, such multiplexing must often be done while observing per-VM performance guarantees or service level agreements. Thus, one important requirement in this environment is effective performance isolation among VMs. In this paper, we address performance isolation across virtual machines in Xen [1]. For instance, while Xen can allocate fixed shares of CPU among competing VMs, it does not currently account for work done on behalf of individual VMs in device drivers. Thus, the behavior of one VM can negatively impact resources available to other VMs even if appropriate per-VM resource limits are in place.In this paper, we present the design and evaluation of a set of primitives implemented in Xen to address this issue. First, XenMon accurately measures per-VM resource consumption, including work done on behalf of a particular VM in Xen's driver domains. Next, our SEDF-DC scheduler accounts for aggregate VM resource consumption in allocating CPU. Finally, ShareGuard limits the total amount of resources consumed in privileged and driver domains based on administrator-specified limits. Our performance evaluation indicates that our mechanisms effectively enforce performance isolation for a variety of workloads and configurations.

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Section: Network I/o Accountingmentioning

confidence: 99%

“…In large enterprises for example, VMMs enable server and application consolidation in emerging on-demand utility computing models [2,3]. Virtualization holds the promise of achieving greater system utilization while lowering total cost of ownership and responding more effectively to changing business conditions.…”

Section: Introductionmentioning

confidence: 99%

Enforcing Performance Isolation Across Virtual Machines in Xen

Gupta

Cherkasova

Gardner

et al. 2006

Lecture Notes in Computer Science

177

167

View full text Add to dashboard Cite

show abstract

“…VMPlant also allows the creation of flexible VMs that can be efficiently deployed (by implementing a caching-based deployment) across distributed Grid resources. In addition to this, it is typical that these virtual environments can be scheduled among different nodes by using virtualization features such as pausing and migration, as occurs in Globus Virtual Workspace [19] and SoftUDC [20]. Additionally, the latter adds an efficient shared storage between nodes located in different locations.…”

Section: Related Workmentioning

confidence: 99%

Introducing Virtual Execution Environments for Application Lifecycle Management and SLA-Driven Resource Distribution within Service Providers

Goiri

Julià

Ejarque

et al. 2009

2009 Eighth IEEE International Symposium on Network Computing and Applications

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Abstract-Resource management is a key challenge that service providers must adequately face in order to ensure their profitability. This paper describes a proof-of-concept framework for facilitating resource management in service providers, which allows reducing costs and at the same time fulfilling the quality of service agreed with the customers. This is accomplished by means of virtualization. Our approach provides application-specific virtual environments and consolidates them in order to achieve a better utilization of the providers resources. In addition, it implements self-adaptive capabilities for dynamically distributing the providers resources among these virtual environments based on Service Level Agreements. The proposed solution has been implemented as a part of the Semantically-Enhanced Resource Allocator prototype developed within the BREIN European project. The evaluation shows that our prototype is able to react in very short time under changing conditions and avoid SLA violations by rescheduling efficiently the resources.

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“…Works such as [6] and [12] propose solutions using a NFS server that provides the images to every node. However, this approach has some performance problems, since it implies working remotely in the VM creation phase.…”

Section: Support For Fast Vm Creation and Migrationmentioning

confidence: 99%

“…In addition, in the same way than our proposal, this work can store VM images and data in the repository for future usage. SoftUDC [6] shares data between nodes by providing a smart storage virtualization service that allows any machine accessing any data in the pool. However, VM migration between nodes implies moving all required data by the VM from a node to another.…”

Section: Related Workmentioning

confidence: 99%

Efficient Data Management Support for Virtualized Service Providers

Goiri

Julià

Guitart

2009

2009 17th Euromicro International Conference on Parallel, Distributed and Network-Based Processing

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Virtualization has been lately introduced for supporting and simplifying service providers management with promising results. Nevertheless, using virtualization introduces also new challenges that must be considered. One of them relates with the data management in the provider. This paper proposes an innovative approach for performing efficiently all the data-related processes in a virtualized service provider, namely VM creation, VM migration and data stage-in/out. Our solution provides a global repository where clients can upload the task input files and retrieve the output files. In addition, the provider implements a distributed file system (using NFS) in which each node can access its own local disk and the disk of the other nodes. As demonstrated in the evaluation, this allows efficient VM creation and task execution, but also task migration with minimum overhead, while keeping it accessible during the whole process.

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SoftUDC: a software-based data center for utility computing

Cited by 60 publications

References 6 publications

Enforcing Performance Isolation Across Virtual Machines in Xen

Enforcing Performance Isolation Across Virtual Machines in Xen

Introducing Virtual Execution Environments for Application Lifecycle Management and SLA-Driven Resource Distribution within Service Providers

Efficient Data Management Support for Virtualized Service Providers

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