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Data Centers in the Cloud: A Large Scale Performance Study

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What this work says

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

inferredcites →https://doi.org/10.1109/65.844498openalex-snapshot
A workload characterization study of the 1998 World Cup Web site
inferredcites →https://doi.org/10.1109/icdcsw.2011.53openalex-snapshot
Exploiting Resource Usage Patterns for Better Utilization Prediction
inferredcites →https://doi.org/10.1109/icws.2007.62openalex-snapshot
Capacity Management and Demand Prediction for Next Generation Data Centers
inferredcites →https://doi.org/10.1109/infcom.2011.5935016openalex-snapshot
Kingfisher: Cost-aware elasticity in the cloud
inferredcites →https://doi.org/10.1109/inm.2007.374769openalex-snapshot
Compass: Cost of Migration-aware Placement in Storage Systems
inferredcites →https://doi.org/10.1109/inm.2007.374776openalex-snapshot
Dynamic Placement of Virtual Machines for Managing SLA Violations
inferredcites →https://doi.org/10.1109/mascots.2010.12openalex-snapshot
PAC: Pattern-driven Application Consolidation for Efficient Cloud Computing
inferredcites →https://doi.org/10.1109/noms.2008.4575156openalex-snapshot
ReCon: A tool to Recommend dynamic server Consolidation in multi-cluster data centers
inferredcites →https://doi.org/10.1111/j.1467-9892.2009.00643.xopenalex-snapshot
Time series analysis forecasting and control
inferredcites →https://doi.org/10.1145/1064212.1064253openalex-snapshot
Managing server energy and operational costs in hosting centers
inferredcites →https://doi.org/10.1145/1140277.1140331openalex-snapshot
Consolidating clients on back-end servers with co-location and frequency control
inferredcites →https://doi.org/10.1145/1402958.1402967openalex-snapshot
A scalable, commodity data center network architecture
inferredcites →https://doi.org/10.1145/1402958.1402968openalex-snapshot
Dcell
inferredcites →https://doi.org/10.1145/1496091.1496103openalex-snapshot
The cost of a cloud
inferredcites →https://doi.org/10.1145/1508293.1508299openalex-snapshot
Memory buddies
inferredcites →https://doi.org/10.1145/1519065.1519099openalex-snapshot
Statistical profiling-based techniques for effective power provisioning in data centers
inferredcites →https://doi.org/10.1145/1736020.1736047openalex-snapshot
Power routing
inferredcites →https://doi.org/10.1145/1809049.1809052openalex-snapshot
Efficient resource provisioning in compute clouds via VM multiplexing
inferredcites →https://doi.org/10.1145/1809049.1809053openalex-snapshot
Autonomic mix-aware provisioning for non-stationary data center workloads
inferredcites →https://doi.org/10.1145/1809049.1809073openalex-snapshot
Monalytics
inferredcites →https://doi.org/10.1145/1879141.1879175openalex-snapshot
Network traffic characteristics of data centers in the wild
inferredcites →https://doi.org/10.1145/1952682.1952699openalex-snapshot
CloudNet
inferredcites →https://doi.org/10.1145/1998582.1998606openalex-snapshot
Untangling mixed information to calibrate resource utilization in virtual machines
inferredcites →https://doi.org/10.1145/844128.844151openalex-snapshot
Resource overbooking and application profiling in shared hosting platforms
inferredcites →https://doi.org/10.1287/mnsc.42.10.1383openalex-snapshot
Server Staffing to Meet Time-Varying Demand
inferredcites →https://doi.org/10.1287/opre.1030.0081openalex-snapshot
Dimensioning Large Call Centers
inferredcites →https://doi.org/10.5555/1855711.1855728openalex-snapshot
ElasticTree: saving energy in data center networks

What points at this work

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

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inferred← citeshttps://doi.org/10.1007/978-1-4939-2092-1_43openalex-snapshot
Usage Patterns in Multi-tenant Data Centers: a Large-Case Field Study
inferred← citeshttps://doi.org/10.1007/978-1-4939-2092-1_46openalex-snapshot
Resource Scheduling in Data-Centric Systems
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ELVMC: A Predictive Energy-Aware Algorithm for Virtual Machine Consolidation in Cloud Computing
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A Comprehensive Study on Cloud Computing: Architecture, Load Balancing, Task Scheduling and Meta-Heuristic Optimization
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Sustainable Energy Management in Data Centers: Scalable and Intelligent Solutions
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A Multi-model Optimization Framework for the Model Driven Design of Cloud Applications
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State of Practice of Non-self-aware Virtual Machine Management in Cloud Data Centers
inferred← citeshttps://doi.org/10.1007/s10586-018-2408-4openalex-snapshot
An adaptive overload threshold selection process using Markov decision processes of virtual machine in cloud data center
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Energy-Efficient and Load-Aware VM Placement in Cloud Data Centers
inferred← citeshttps://doi.org/10.1007/s10922-020-09557-6openalex-snapshot
Decomposition Based Cloud Resource Demand Prediction Using Extreme Learning Machines
inferred← citeshttps://doi.org/10.1007/s11227-021-03894-2openalex-snapshot
A cost-effective power-aware approach for scheduling cloudlets in cloud computing environments
inferred← citeshttps://doi.org/10.1007/s11227-022-04337-2openalex-snapshot
CAMIRA: a consolidation-aware migration avoidance job scheduling strategy for virtualized parallel computing clusters
inferred← citeshttps://doi.org/10.1007/s41870-024-01949-0openalex-snapshot
Utilizing multi-population ant colony system and exponential grey prediction model for multi-objective virtual machine consolidation in Cloud Data Centers
inferred← citeshttps://doi.org/10.1016/j.comnet.2014.04.011openalex-snapshot
Energy-aware joint management of networks and Cloud infrastructures
inferred← citeshttps://doi.org/10.1016/j.ejor.2013.12.007openalex-snapshot
Generalized Nash equilibria for SaaS/PaaS Clouds
inferred← citeshttps://doi.org/10.1016/j.future.2016.12.008openalex-snapshot
Bayesian network-based Virtual Machines consolidation method
inferred← citeshttps://doi.org/10.1016/j.future.2017.09.075openalex-snapshot
Energy-aware and multi-resource overload probability constraint-based virtual machine dynamic consolidation method
inferred← citeshttps://doi.org/10.1016/j.future.2024.03.058openalex-snapshot
Towards energy and QoS aware dynamic VM consolidation in a multi-resource cloud
inferred← citeshttps://doi.org/10.1016/j.jnca.2015.11.015openalex-snapshot
Review and analysis of networking challenges in cloud computing
inferred← citeshttps://doi.org/10.1016/j.jpdc.2018.05.010openalex-snapshot
A framework for joint resource allocation of MapReduce and web service applications in a shared cloud cluster
inferred← citeshttps://doi.org/10.1016/j.sintl.2025.100326openalex-snapshot
Lighting the way forward: The bright future of photonic integrated circuits
inferred← citeshttps://doi.org/10.1109/bdcloud-socialcom-sustaincom.2016.89openalex-snapshot
Bayesian Networks-Based Selection Algorithm for Virtual Machine to Be Migrated
inferred← citeshttps://doi.org/10.1109/ccgridw59191.2023.00040openalex-snapshot
MUAR: Maximizing Utilization of Available Resources for Query Processing
inferred← citeshttps://doi.org/10.1109/cit/iucc/dasc/picom.2015.277openalex-snapshot
Enterprise Data Center Globality Measurement
inferred← citeshttps://doi.org/10.1109/cloud.2017.31openalex-snapshot
QPRED: Using Quantile Predictions to Improve Power Usage for Private Clouds
inferred← citeshttps://doi.org/10.1109/cloudnet.2015.7335277openalex-snapshot
A cost-efficient QoS-aware model for cloud IaaS resource allocation in large datacenters
inferred← citeshttps://doi.org/10.1109/comst.2016.2545109openalex-snapshot
Towards Joint Optimization Over ICT and Cooling Systems in Data Centre: A Survey
inferred← citeshttps://doi.org/10.1109/dsn.2013.6575350openalex-snapshot
State-of-the-practice in data center virtualization: Toward a better understanding of VM usage
inferred← citeshttps://doi.org/10.1109/dsn.2015.37openalex-snapshot
Understanding the Dark Side of Big Data Clusters: An Analysis beyond Failures
inferred← citeshttps://doi.org/10.1109/dsn58367.2023.00055openalex-snapshot
How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads
inferred← citeshttps://doi.org/10.1109/iciem48762.2020.9160185openalex-snapshot
A Review on Various Data Encryption Techniques used in Cloud Enabled Data Centre
inferred← citeshttps://doi.org/10.1109/inm.2015.7140330openalex-snapshot
Optimizing capacity allocation for big data applications in cloud datacenters
inferred← citeshttps://doi.org/10.1109/isorc49007.2020.00021openalex-snapshot
Heterogeneous Task Co-location in Containerized Cloud Computing Environments
inferred← citeshttps://doi.org/10.1109/iwqos.2013.6550270openalex-snapshot
A datacenter network tale from a server's perspective
inferred← citeshttps://doi.org/10.1109/noms.2014.6838300openalex-snapshot
Multi-resource characterization and their (in)dependencies in production datacenters
inferred← citeshttps://doi.org/10.1109/tnsm.2016.2601646openalex-snapshot
Virtualization in the Private Cloud: State of the Practice
inferred← citeshttps://doi.org/10.1109/tnsm.2020.3039942openalex-snapshot
CEDULE+: Resource Management for Burstable Cloud Instances Using Predictive Analytics
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Generalized Nash Equilibria for the Service Provisioning Problem in Cloud Systems
inferred← citeshttps://doi.org/10.1109/tsc.2015.2477836openalex-snapshot
Generalized Nash Equilibria for the Service Provisioning Problem in Multi-Cloud Systems
inferred← citeshttps://doi.org/10.1145/2371536.2371565openalex-snapshot
Usage patterns in multi-tenant data centers
inferred← citeshttps://doi.org/10.1145/2541940.2541969openalex-snapshot
VSwapper
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Special Issue on Performance and Resource Management in Big Data Applications
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Demystifying Casualties of Evictions in Big Data Priority Scheduling
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Availability Knob
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Page Fault Support for Network Controllers
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The Elasticity and Plasticity in Semi-Containerized Co-locating Cloud Workload
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Optimization of Computer Resources Using OpenStack Private Cloud
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FaaSKeeper: Learning from Building Serverless Services with ZooKeeper as an Example
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RD-Probe: Scalable Monitoring With Sufficient Coverage In Complex Datacenter Networks
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Prediction Model for Physical Machine Selection for Virtual Machine Placement
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xHeap : Transparent Hugepage Optimizations forMemory Offloading
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Service Provisioning Problem in Cloud and Multi-Cloud Systems
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Energy-Aware Virtual Data Center Migration
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Load-aware virtual machine placement and dynamic migration mechanism for OpenStack
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A Virtual Machine Consolidation Algorithm Based on Dynamic Load Mean and Multi-Objective Optimization in Cloud Computing
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Impact of Data Centers on Power Consumption, Climate Change, and Sustainability
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A Holistic Analysis of Datacenter Operations: Resource Usage, Energy, and Workload Characterization -- Extended Technical Report
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Semi-Markov Availability Model for Infrastructure as a Service Cloud Considering Hidden Failures of Physical Machines
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Multi-resource collaborative optimization for adaptive virtual machine placement
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