Enforcing Performance Isolation Across Virtual Machines in Xen

By Diwaker Gupta, L. Cherkasova, R. Gardner, Amin Vahdat. International Middleware Conference, 2006

449 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture, Information Systems

View Paper: https://www.semanticscholar.org/paper/117c8dca0918376176e7bc8c0432103ed8e9c34f

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Citations in the corpus

An Early Performance Analysis of Cloud Computing Services for Scientific Computing (2008, unknown): “A recent analysis of the load sharing mechanisms offered by Xen [ 16 ] shows that there exist mechanisms to handle well CPU-sharing.”
Dynamic Scheduling of Virtual Machines Running HPC Workloads in Scientific Grids (2007, background): “In an enterprise environment, however, they must also provide performance and resource isolation; meaning that rogue services should not impact the performance of other applications that share the same infrastructure[14].”
Scheduling I/O in virtual machine monitors (2008, background): “While other studies have examined the impact of VMM scheduling on I/O performance [5, 6, 11], this paper is the first to do so with multiple guest domains concurrently running different types of applications.”
Sandpiper: Black-box and gray-box resource management for virtual machines (2009, methodology): “precise approach requiring a modified scheduler was proposed in [9].”
End-to-end Performance Isolation Through Virtual Datacenters (2014, background): “) remains unchanged—we rely on existing hypervisors to isolate end-host resources [4, 7, 29, 68].”
Black-box and Gray-box Strategies for Virtual Machine Migration (2007, background): “As a result, it is possible to track network and disk I/O activity of various VMs by observing the driver activity in domain-0 [9].”
Automated control of multiple virtualized resources (2009, methodology): “We observed various inaccuracies with Xen’s earlier SEDF scheduler and credit scheduler that are identified by other researchers [12] as well.”
An Analysis of Performance Interference Effects in Virtual Environments (2007, methodology): “Gupta et al. [ 8 ] implemented XenMon to monitor the CPU usage of each guest and device driver domain and passed the usage information to a hypervisor scheduler for fair scheduling between applications that use device driver domains and ones that do not.”