Closed ginfung closed 7 years ago
target -- compare to
A Hyper-Heuristic Scheduling Algorithm for Cloud
[high cited. dataset available. simple to reproduce. objective extension enabled]
beware that when we write this up, your lit review should look like the attached (sectionD).
and note the venn diagram top right. clear reason to do something new, shows that prior work has missed something
@timm that's a good practice. I will summarize these papers.
Problem statement: https://github.com/ai-se/sway_vm_lb/wiki/Problem-Statement
== cloud vm placement [25/2014] Energy Aware Virtual Machine Placement Scheduling in Cloud Computing Based on Ant Colony Optimization Approach [80/2013] Energy and Carbon-Efficient Placement of Virtual Machines in Distributed Cloud Data Centers [192/2013] A multi-objective ant colony system algorithm for virtual machine placement in cloud computing [63/2013] Energy-Saving Virtual Machine Placement in Cloud Data Centers [87/2014] A stochastic model to investigate data center performance and qos in iaas cloud computing systems [72/2015]A survey on virtual machine migration and server consolidation frameworks for cloud data centers
== cloud vm scheduling [45/2014]Task-based system load balancing in cloud computing using particle swarm optimization [150/2014]VM consolidation: A real case based on OpenStack Cloud [57/2014]Efficient optimal algorithm of task scheduling in cloud computing environment [53/2013]Analysis of load balancing techniques in cloud computing
== cloud vm migration [55/2014]SLA-based virtual machine management for heterogeneous workloads in a cloud datacenter
== cloud scheduling [153/2014]Deadline based resource provisioningand scheduling algorithm for scientific workflows on clouds [180/2013]A market-oriented hierarchical scheduling strategy in cloud workflow systems
== cloud genetic algorithm [63/2013] Job scheduling model for cloud computing based on multi-objective genetic algorithm [88/2013]Optimized task scheduling and resource allocation on cloud computing environment using improved differential evolution algorithm [79/2013]Search-based genetic optimization for deployment and reconfiguration of software in the cloud [92/2014]A genetic algorithm for task scheduling on heterogeneous computing systems using multiple priority queues
== cloud qos scheduling [208/2014] Quasar: resource-efficient and QoS-aware cluster management [87/2014] A stochastic model to investigate data center performance and qos in iaas cloud computing systems [77/2014] A comparative study of load balancing algorithms in cloud computing environment [57/2014] A hyper-heuristic scheduling algorithm for cloud