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Performance Interference of Virtual Machines: A Survey

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cpe.5098openalex-snapshot
Optimizing multi‐tier application performance with interference and affinity‐aware placement algorithms
inferredcites →https://doi.org/10.1007/978-3-030-33702-5_20openalex-snapshot
An Energy Efficient and Interference Aware Virtual Machine Consolidation Algorithm Using Workload Classification
inferredcites →https://doi.org/10.1007/978-3-030-59851-8_21openalex-snapshot
Interference-Aware Orchestration in Kubernetes
inferredcites →https://doi.org/10.1007/978-981-10-6620-7_47openalex-snapshot
Understanding Live Migration Techniques Intended for Resource Interference Minimization in Virtualized Cloud Environment
inferredcites →https://doi.org/10.1007/978-981-13-1274-8_37openalex-snapshot
IALM: Interference Aware Live Migration Strategy for Virtual Machines in Cloud Data Centres
inferredcites →https://doi.org/10.1007/s00607-017-0552-yopenalex-snapshot
vmBBProfiler: a black-box profiling approach to quantify sensitivity of virtual machines to shared cloud resources
inferredcites →https://doi.org/10.1007/s00607-021-01014-9openalex-snapshot
Interference Aware Workload Scheduling for Latency Sensitive Tasks in Cloud Environment
inferredcites →https://doi.org/10.1007/s10586-017-1466-3openalex-snapshot
Design and implementation of an analytical framework for interference aware job scheduling on Apache Spark platform
inferredcites →https://doi.org/10.1007/s10586-021-03310-7openalex-snapshot
Design and evaluation of a joint profit and interference-aware VMs consolidation in IaaS cloud datacenter
inferredcites →https://doi.org/10.1007/s11227-013-0939-2openalex-snapshot
Virtual machine consolidation based on interference modeling
inferredcites →https://doi.org/10.1007/s11390-020-9707-yopenalex-snapshot
Interference Analysis of Co-Located Container Workloads: A Perspective from Hardware Performance Counters
inferredcites →https://doi.org/10.1016/j.comcom.2014.07.009openalex-snapshot
Virtual machine placement with two-path traffic routing for reduced congestion in data center networks
inferredcites →https://doi.org/10.1016/j.compeleceng.2015.07.020openalex-snapshot
Use of proactive and reactive hotspot detection technique to reduce the number of virtual machine migration and energy consumption in cloud data center
inferredcites →https://doi.org/10.1016/j.future.2013.02.005openalex-snapshot
Batch scheduling of consolidated virtual machines based on their workload interference model
inferredcites →https://doi.org/10.1016/j.future.2019.11.016openalex-snapshot
dCCPI-predictor: A state-aware approach for effectively predicting cross-core performance interference
inferredcites →https://doi.org/10.1016/j.future.2020.03.058openalex-snapshot
Sequence-to-sequence models for workload interference prediction on batch processing datacenters
inferredcites →https://doi.org/10.1016/j.jpdc.2017.08.010openalex-snapshot
Approaches for optimizing virtual machine placement and migration in cloud environments: A survey
inferredcites →https://doi.org/10.1016/j.simpat.2015.07.002openalex-snapshot
PIASA: A power and interference aware resource management strategy for heterogeneous workloads in cloud data centers
inferredcites →https://doi.org/10.1016/j.sysarc.2014.07.004openalex-snapshot
Challenges in real-time virtualization and predictable cloud computing
inferredcites →https://doi.org/10.1016/j.sysarc.2016.06.006openalex-snapshot
Precise contention-aware performance prediction on virtualized multicore system
inferredcites →https://doi.org/10.1109/access.2020.3029040openalex-snapshot
Panda: Reinforcement Learning-Based Priority Assignment for Multi-Processor Real-Time Scheduling
inferredcites →https://doi.org/10.1109/aiccsa.2017.122openalex-snapshot
Inter-VM Interference in Cloud Environments: A Survey
inferredcites →https://doi.org/10.1109/cloud.2010.65openalex-snapshot
Understanding Performance Interference of I/O Workload in Virtualized Cloud Environments
inferredcites →https://doi.org/10.1109/compsac.2015.14openalex-snapshot
VMon: Monitoring and Quantifying Virtual Machine Interference via Hardware Performance Counter
inferredcites →https://doi.org/10.1109/comst.2018.2794881openalex-snapshot
A Survey on Virtual Machine Migration: Challenges, Techniques, and Open Issues
inferredcites →https://doi.org/10.1109/honet.2018.8551339openalex-snapshot
Prediction Of Cloud Computing Resource Utilization
inferredcites →https://doi.org/10.1109/hpca47549.2020.00023openalex-snapshot
Twig: Multi-Agent Task Management for Colocated Latency-Critical Cloud Services
inferredcites →https://doi.org/10.1109/ic2e.2016.13openalex-snapshot
UIE: User-Centric Interference Estimation for Cloud Applications
inferredcites →https://doi.org/10.1109/ic2e.2019.00035openalex-snapshot
FECBench: A Holistic Interference-aware Approach for Application Performance Modeling
inferredcites →https://doi.org/10.1109/ic2e48712.2020.00015openalex-snapshot
uPredict: A User-Level Profiler-Based Predictive Framework in Multi-Tenant Clouds
inferredcites →https://doi.org/10.1109/icac.2017.17openalex-snapshot
DIAL: Reducing Tail Latencies for Cloud Applications via Dynamic Interference-aware Load Balancing
inferredcites →https://doi.org/10.1109/icdcsw.2011.46openalex-snapshot
A Model of Storage I/O Performance Interference in Virtualized Systems
inferredcites →https://doi.org/10.1109/icnp.2016.7784447openalex-snapshot
Cache contention aware Virtual Machine placement and migration in cloud datacenters
inferredcites →https://doi.org/10.1109/icpads.2017.00092openalex-snapshot
vMCA: Memory Capacity Aggregation and Management in Cloud Environments
inferredcites →https://doi.org/10.1109/iiswc.2013.6704667openalex-snapshot
iBench: Quantifying interference for datacenter applications
inferredcites →https://doi.org/10.1109/infocom.2019.8737460openalex-snapshot
Deep Learning-based Job Placement in Distributed Machine Learning Clusters
inferredcites →https://doi.org/10.1109/inm.2015.7140319openalex-snapshot
Detecting performance interference in cloud-based web services
inferredcites →https://doi.org/10.1109/isads.2015.42openalex-snapshot
Affinity and Conflict-Aware Placement of Virtual Machines in Heterogeneous Data Centers
inferredcites →https://doi.org/10.1109/jproc.2013.2287711openalex-snapshot
Managing Performance Overhead of Virtual Machines in Cloud Computing: A Survey, State of the Art, and Future Directions
inferredcites →https://doi.org/10.1109/jsyst.2017.2722476openalex-snapshot
Dynamic Resource Prediction and Allocation for Cloud Data Center Using the Multiobjective Genetic Algorithm
inferredcites →https://doi.org/10.1109/nca53618.2021.9685244openalex-snapshot
Data-Intensive Workload Consolidation in Serverless (Lambda/FaaS) Platforms
inferredcites →https://doi.org/10.1109/tc.2013.185openalex-snapshot
iAware: Making Live Migration of Virtual Machines Interference-Aware in the Cloud
inferredcites →https://doi.org/10.1109/tc.2015.2481403openalex-snapshot
Heterogeneity and Interference-Aware Virtual Machine Provisioning for Predictable Performance in the Cloud
inferredcites →https://doi.org/10.1109/tcad.2020.3012210openalex-snapshot
Dynamic Memory Bandwidth Allocation for Real-Time GPU-Based SoC Platforms
inferredcites →https://doi.org/10.1109/tcc.2015.2449839openalex-snapshot
Joint Optimization of Operational Cost and Performance Interference in Cloud Data Centers
inferredcites →https://doi.org/10.1109/tcc.2020.2975788openalex-snapshot
Multi-Tier Workload Consolidations in the Cloud: Profiling, Modeling and Optimization
inferredcites →https://doi.org/10.1109/tpds.2015.2442983openalex-snapshot
Predicting Cross-Core Performance Interference on Multicore Processors with Regression Analysis
inferredcites →https://doi.org/10.1109/tpds.2020.3013948openalex-snapshot
Rusty: Runtime Interference-Aware Predictive Monitoring for Modern Multi-Tenant Systems
inferredcites →https://doi.org/10.1109/tsc.2012.2openalex-snapshot
Who Is Your Neighbor: Net I/O Performance Interference in Virtualized Clouds
inferredcites →https://doi.org/10.1145/1165389.945462openalex-snapshot
Xen and the art of virtualization
inferredcites →https://doi.org/10.1145/1508244openalex-snapshot
Proceedings of the 14th international conference on Architectural support for programming languages and operating systems
inferredcites →https://doi.org/10.1145/1730836.1730842openalex-snapshot
Empirical evaluation of latency-sensitive application performance in the cloud
inferredcites →https://doi.org/10.1145/1807128.1807136openalex-snapshot
Virtual machine power metering and provisioning
inferredcites →https://doi.org/10.1145/1944862.1944887openalex-snapshot
Directly characterizing cross core interference through contention synthesis
inferredcites →https://doi.org/10.1145/2038916.2038938openalex-snapshot
Cuanta
inferredcites →https://doi.org/10.1145/2063384openalex-snapshot
Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis
inferredcites →https://doi.org/10.1145/2465351.2465388openalex-snapshot
CPI 2
inferredcites →https://doi.org/10.1145/2493123openalex-snapshot
Proceedings of the 22nd international symposium on High-performance parallel and distributed computing
inferredcites →https://doi.org/10.1145/2508148.2485974openalex-snapshot
Bubble-flux
inferredcites →https://doi.org/10.1145/2788402.2788411openalex-snapshot
Minimizing Interference and Maximizing Progress for Hadoop Virtual Machines
inferredcites →https://doi.org/10.1145/2797211openalex-snapshot
Allocation of Virtual Machines in Cloud Data Centers—A Survey of Problem Models and Optimization Algorithms
inferredcites →https://doi.org/10.1145/2851613.2851625openalex-snapshot
Performance-aware server consolidation with adjustable interference levels
inferredcites →https://doi.org/10.1145/3220192openalex-snapshot
Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing
inferredcites →https://doi.org/10.1145/3234151openalex-snapshot
Brownout Approach for Adaptive Management of Resources and Applications in Cloud Computing Systems
inferredcites →https://doi.org/10.1145/3357223openalex-snapshot
Proceedings of the ACM Symposium on Cloud Computing
inferredcites →https://doi.org/10.1145/3510415openalex-snapshot
Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions
inferredcites →https://doi.org/10.12785/ijcds/080401openalex-snapshot
Managing Performance Interference Effects for Intelligent and Efficient Virtual Machines Placement based on GWO Approach in Cloud
inferredcites →https://doi.org/10.14778/3007263.3007264openalex-snapshot
Not for the timid
inferredcites →https://doi.org/10.18267/pr.2019.dvo.2316.0openalex-snapshot
Exploring the ability of tomorrow's leaders to support smart city projects
inferredcites →https://doi.org/10.48550/arxiv.1601.07400openalex-snapshot
Improving virtual host efficiency through resource and interference aware scheduling
inferredcites →https://doi.org/10.5555/1251203.1251223openalex-snapshot
Live migration of virtual machines
inferredcites →https://doi.org/10.5555/2388996.2389066openalex-snapshot
Measuring interference between live datacenter applications

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Information interaction and partial growth-based multi-population growable genetic algorithm for multi-dimensional resources utilization optimization of cloud computing
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Detecting Anomalies Through Sequential Performance Analysis in Virtualized Environments
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An Energy and Temperature Aware Deep Reinforcement Learning Workflow Scheduler in Cloud Computing
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Dynamic Service Placement in Edge Computing: A Comparative Evaluation of Nature-Inspired Algorithms
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Towards Interference-Resilient Multi-Tenant Microservices via Spatio-Temporal Models of Self-Configuration
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