On the public citation graph
Optimal selection of VMs for resource task scheduling in geographically distributed clouds using fuzzy c‐mean and MOLP
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4757-3167-5_2openalex-snapshot
Introduction to Mathematical Programming
inferredcites →https://doi.org/10.1007/978-3-319-21091-9openalex-snapshot
Multiobjective Linear Programming
inferredcites →https://doi.org/10.1007/978-3-642-40820-5_7openalex-snapshot
A Network-Aware Virtual Machine Allocation in Cloud Datacenter
inferredcites →https://doi.org/10.1007/s11227-015-1538-1openalex-snapshot
Minimizing latency in geo-distributed clouds
inferredcites →https://doi.org/10.1007/s11227-017-1999-5openalex-snapshot
A method for the optimum selection of datacenters in geographically distributed clouds
inferredcites →https://doi.org/10.1016/0098-3004(84)90020-7openalex-snapshot
FCM: The fuzzy c-means clustering algorithm
inferredcites →https://doi.org/10.1016/j.future.2010.02.004openalex-snapshot
A data placement strategy in scientific cloud workflows
inferredcites →https://doi.org/10.1109/icc.2013.6655092openalex-snapshot
Intelligent virtual machine placement for cost efficiency in geo-distributed cloud systems
inferredcites →https://doi.org/10.1109/infcom.2012.6195847openalex-snapshot
Network aware resource allocation in distributed clouds
inferredcites →https://doi.org/10.1109/infocom.2014.6848063openalex-snapshot
Optimal approximation algorithm of virtual machine placement for data latency minimization in cloud systems
inferredcites →https://doi.org/10.1109/tcc.2017.2701793openalex-snapshot
A New Service Mechanism for Profit Optimizations of a Cloud Provider and Its Users
inferredcites →https://doi.org/10.1109/tsusc.2017.2743499openalex-snapshot
Contention-Aware Reliability Efficient Scheduling on Heterogeneous Computing Systems
inferredcites →https://doi.org/10.1109/ucc.2011.43openalex-snapshot
Multi-objective Meta-heuristics for Scheduling Applications with High Availability Requirements and Cost Constraints in Multi-Cloud Environments
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/spe.2741openalex-snapshot
CloudsStorm: A framework for seamlessly programming and controlling virtual infrastructure functions during the DevOps lifecycle of cloud applications
inferred← citeshttps://doi.org/10.1007/s11227-021-04248-8openalex-snapshot
Selecting services in the cloud: a decision support methodology focused on infrastructure-as-a-service context
inferred← citeshttps://doi.org/10.1007/s11227-024-06349-6openalex-snapshot
Reserve policy-aware VM positioning based on prediction in multi-cloud environment
inferred← citeshttps://doi.org/10.1007/s11277-020-07050-6openalex-snapshot
Resource and Cost Aware Glowworm Mapreduce Optimization Based Big Data Processing in Geo Distributed Data Center
inferred← citeshttps://doi.org/10.1007/s12083-021-01198-zopenalex-snapshot
Building a blockchain-based decentralized ecosystem for cloud and edge computing: an ALLSTAR approach and empirical study
inferred← citeshttps://doi.org/10.1016/j.bdr.2021.100188openalex-snapshot
Federated Geo-Distributed Clouds: Optimizing Resource Allocation Based on Request Type Using Autonomous and Multi-objective Resource Sharing Model
inferred← citeshttps://doi.org/10.1109/cloud62652.2024.00031openalex-snapshot
LGDCloudSim: A Resource Management Simulation System for Large-Scale Geographically Distributed Cloud Data Center Scenarios
inferred← citeshttps://doi.org/10.1109/jcc49151.2020.00018openalex-snapshot
ALLSTAR: A Blockchain Based Decentralized Ecosystem for Cloud and Edge Computing
inferred← citeshttps://doi.org/10.1109/smartiot.2019.00018openalex-snapshot
Large Distributed Virtual Infrastructure Partitioning and Provisioning Across Providers
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