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Exploiting Spatio-temporal Tradeoffs for Energy-Aware MapReduce in the Cloud
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1088/1748-9326/3/3/034008openalex-snapshot
Worldwide electricity used in data centers
inferredcites →https://doi.org/10.1109/4.881202openalex-snapshot
A dynamic voltage scaled microprocessor system
inferredcites →https://doi.org/10.1109/hipc.2011.6152649openalex-snapshot
STEAMEngine: Driving MapReduce provisioning in the cloud
inferredcites →https://doi.org/10.1109/inm.2007.374778openalex-snapshot
Server virtualization in autonomic management of heterogeneous workloads
inferredcites →https://doi.org/10.1109/isca.2008.37openalex-snapshot
Understanding and Designing New Server Architectures for Emerging Warehouse-Computing Environments
inferredcites →https://doi.org/10.1109/isscc.2000.839787openalex-snapshot
A dynamic voltage scaled microprocessor system
inferredcites →https://doi.org/10.1109/noms.2006.1687567openalex-snapshot
Application Performance Management in Virtualized Server Environments
inferredcites →https://doi.org/10.1109/sc.2008.5222625openalex-snapshot
Server-storage virtualization: Integration and load balancing in data centers
inferredcites →https://doi.org/10.1145/1165389.945462openalex-snapshot
Xen and the art of virtualization
inferredcites →https://doi.org/10.1145/1250662.1250665openalex-snapshot
Power provisioning for a warehouse-sized computer
inferredcites →https://doi.org/10.1145/1394608.1382148openalex-snapshot
Understanding and Designing New Server Architectures for Emerging Warehouse-Computing Environments
inferredcites →https://doi.org/10.1145/1555349.1555384openalex-snapshot
MapReduce optimization using regulated dynamic prioritization
inferredcites →https://doi.org/10.1145/1740390.1740405openalex-snapshot
On the energy (in)efficiency of Hadoop clusters
inferredcites →https://doi.org/10.1145/1740390.1740406openalex-snapshot
Semantic-less coordination of power management and application performance
inferredcites →https://doi.org/10.1145/1807128.1807150openalex-snapshot
Towards automatic optimization of MapReduce programs
inferredcites →https://doi.org/10.1145/945461.945462openalex-snapshot
Xen and the art of virtualization
inferredcites →https://doi.org/10.14778/1920841.1920862openalex-snapshot
Energy management for MapReduce clusters
inferredcites →https://doi.org/10.5555/1924943.1924962openalex-snapshot
Reining in the outliers in map-reduce clusters using Mantri
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Optimal Virtual Machine Provisioning in Cloud Computing Using Game Theory
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Towards Efficient Power Management in MapReduce: Investigation of CPU-Frequencies Scaling on Power Efficiency in Hadoop
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Power-Efficient Assignment of Virtual Machines to Physical Machines
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Energy Proportionality and Performance in Data Parallel Computing Clusters
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Energy Saving Techniques for Cloud Data Centres: An Empirical Research Analysis
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Governing energy consumption in Hadoop through CPU frequency scaling: An analysis
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Power-efficient assignment of virtual machines to physical machines
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An Energy Efficiency Optimization and Control Model for Hadoop Clusters
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A dynamic resource allocation method in IaaS based on deadline time
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An energy efficient resource management method in virtualized cloud environment
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Spot-on for Timed instances: Striking a Balance between Spot and On-demand Instances
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Cloud Capability Estimation and Recommendation in Black-Box Environments Using Benchmark-Based Approximation
inferred← citeshttps://doi.org/10.1109/cloudcom.2011.22openalex-snapshot
Comparing VM-Placement Algorithms for On-Demand Clouds
inferred← citeshttps://doi.org/10.1109/dasc.2011.111openalex-snapshot
A Power-Aware Scheduling of MapReduce Applications in the Cloud
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On Understanding the Energy Impact of Speculative Execution in Hadoop
inferred← citeshttps://doi.org/10.1109/grid.2012.19openalex-snapshot
Minimizing Cost of Virtual Machines for Deadline-Constrained MapReduce Applications in the Cloud
inferred← citeshttps://doi.org/10.1109/hipc.2011.6152649openalex-snapshot
STEAMEngine: Driving MapReduce provisioning in the cloud
inferred← citeshttps://doi.org/10.1109/iccisci.2012.6297100openalex-snapshot
Interference-aware virtual machine placement in cloud computing systems
inferred← citeshttps://doi.org/10.1109/icppw.2012.38openalex-snapshot
eTune: A Power Analysis Framework for Data-Intensive Computing
inferred← citeshttps://doi.org/10.1109/igcc.2011.6008564openalex-snapshot
Improving MapReduce energy efficiency for computation intensive workloads
inferred← citeshttps://doi.org/10.1109/services.2013.55openalex-snapshot
CloudAdvisor: A Recommendation-as-a-Service Platform for Cloud Configuration and Pricing
inferred← citeshttps://doi.org/10.1109/tc.2012.166openalex-snapshot
Exploiting Spatio-Temporal Tradeoffs for Energy-Aware MapReduce in the Cloud
inferred← citeshttps://doi.org/10.1145/2859889.2859892openalex-snapshot
A Constraint Programming Based Energy Aware Resource Management Middleware for Clouds Processing MapReduce Jobs with Deadlines
inferred← citeshttps://doi.org/10.22215/etd/2017-11783openalex-snapshot
Energy Aware Resource Management for MapReduce Jobs
inferred← citeshttps://doi.org/10.29268/stcc.2013.0007openalex-snapshot
Recommending Optimal Cloud Configuration based on Benchmarking in Black‐Box Clouds
inferred← citeshttps://doi.org/10.4018/978-1-4666-8339-6.ch012openalex-snapshot
Virtual Machine Placement Strategy for Cloud Data Center
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Virtual Machine Placement Strategy for Cloud Data Center
inferred← citeshttps://doi.org/10.4304/jsw.9.4.895-901openalex-snapshot
Resource Scheduling Optimization Algorithm of Energy Consumption for Cloud Computing Based on Task Tolerance
inferred← citeshttps://doi.org/10.48550/arxiv.1304.7121openalex-snapshot
Power-efficient Assignment of Virtual Machines to Physical Machines
inferred← citeshttps://doi.org/10.5120/ijca2015905751openalex-snapshot
An Efficient Way for Data Mining via Overlay-based Networking for Enhanced Service
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A New Approach for Dynamic Virtual Machine Consolidation in Cloud Data Centers
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Energy-efficient Straggler Mitigation for Big Data Applications on the Clouds
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