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A Power-Aware Virtual Machine Mapper Using Firefly Optimization

https://doi.org/10.1109/cbd.2015.25
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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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.1867openalex-snapshot
Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers
inferredcites →https://doi.org/10.1016/j.ejor.2006.03.041openalex-snapshot
A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP
inferredcites →https://doi.org/10.1016/j.future.2011.06.002openalex-snapshot
Design and implementation of adaptive power-aware virtual machine provisioner (APA-VMP) using swarm intelligence
inferredcites →https://doi.org/10.1016/j.ijar.2011.10.005openalex-snapshot
On Providing Quality of Service in Grid Computing through Multi-objective Swarm-Based Knowledge Acquisition in Fuzzy Schedulers
inferredcites →https://doi.org/10.1016/j.jcss.2013.02.004openalex-snapshot
A multi-objective ant colony system algorithm for virtual machine placement in cloud computing
inferredcites →https://doi.org/10.1016/j.peva.2010.08.009openalex-snapshot
Optimality analysis of energy-performance trade-off for server farm management
inferredcites →https://doi.org/10.1016/j.swevo.2013.06.001openalex-snapshot
A comprehensive review of firefly algorithms
inferredcites →https://doi.org/10.1109/cc.2014.6825253openalex-snapshot
Virtual machine scheduling for improving energy efciency in IaaS cloud
inferredcites →https://doi.org/10.1109/cloud.2012.30openalex-snapshot
Analysis of the Power and Hardware Resource Consumption of Servers under Different Load Balancing Policies
inferredcites →https://doi.org/10.1109/ice-ccn.2013.6528550openalex-snapshot
Power-aware Scheduling of fixed priority tasks in soft real-time multicore systems
inferredcites →https://doi.org/10.1109/tevc.2013.2240304openalex-snapshot
A Discrete Firefly Algorithm for the Multi-Objective Hybrid Flowshop Scheduling Problems
inferredcites →https://doi.org/10.1109/tpds.2012.20openalex-snapshot
Survey of Energy-Cognizant Scheduling Techniques
inferredcites →https://doi.org/10.1109/tpds.2012.220openalex-snapshot
Hint-Based Execution of Workloads in Clouds with Nefeli
inferredcites →https://doi.org/10.1109/tpds.2013.183openalex-snapshot
Power Consumption Estimation Models for Processors, Virtual Machines, and Servers
inferredcites →https://doi.org/10.1109/tsc.2010.25openalex-snapshot
A Mathematical Programming Approach for Server Consolidation Problems in Virtualized Data Centers
inferredcites →https://doi.org/10.1155/2013/369209openalex-snapshot
A Novel Artificial Bee Colony Approach of Live Virtual Machine Migration Policy Using Bayes Theorem
inferredcites →https://doi.org/10.3724/sp.j.1001.2011.03883openalex-snapshot
Power-Aware Parallel Loop Scheduling Method for Heterogeneous System
inferredcites →https://doi.org/10.3724/sp.j.1016.2012.01262openalex-snapshot
Power Management of Virtualized Cloud Computing Platform

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4651157openalex-extracted
Bi-Objective Optimization of Bandwidth Resources and Energy Consumption for Efficient Virtual Machine Placement in Cloud Computing
inferred← citeshttps://doi.org/10.1007/s10586-019-03026-9openalex-snapshot
Bio-inspired virtual machine placement schemes in cloud computing environment: taxonomy, review, and future research directions
inferred← citeshttps://doi.org/10.1007/s11227-021-03978-zopenalex-snapshot
An ACO-based multi-objective optimization for cooperating VM placement in cloud data center
inferred← citeshttps://doi.org/10.1016/j.future.2023.06.020openalex-snapshot
Energy-efficient task scheduling for mobile edge computing with virtual machine I/O interference
inferred← citeshttps://doi.org/10.1109/isssc56467.2022.10051462openalex-snapshot
Improving VM Placement in fog Center by Multi-objective optimization
inferred← citeshttps://doi.org/10.1109/tpds.2018.2837743openalex-snapshot
Multi-Objective Optimization for Virtual Machine Allocation and Replica Placement in Virtualized Hadoop
inferred← citeshttps://doi.org/10.1145/3549206.3549232openalex-snapshot
Virtual Machine Placement Techniques Based on Biological Models
inferred← citeshttps://doi.org/10.20944/preprints202402.0170.v1openalex-snapshot
Cloud Computing Transformed IT Organizations With Its On-Demand Model, Notably Infrastructure as a Service (IaaS). Cloud Providers Manage Extensive Physical Devices, Consuming Substantial Energy and Bandwidth for Data Traffic During Virtual Machine D
inferred← citeshttps://doi.org/10.51983/ajcst-2018.7.1.1830openalex-snapshot
Data Privacy and Security in Cloud Environment Using Cryptography Approach
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