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An adaptive deadline constrained energy‐efficient scheduling heuristic for workflows in clouds

https://doi.org/10.1002/cpe.3592
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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.2889openalex-snapshot
Reclaiming the energy of a schedule: models and algorithms
inferredcites →https://doi.org/10.1007/978-0-387-09457-1_7openalex-snapshot
Comparative Evaluation Of The Robustness Of DAG Scheduling Heuristics
inferredcites →https://doi.org/10.1007/s10723-012-9207-6openalex-snapshot
An Evaluation of the Cost and Performance of Scientific Workflows on Amazon EC2
inferredcites →https://doi.org/10.1016/j.jpdc.2011.04.007openalex-snapshot
A parallel bi-objective hybrid metaheuristic for energy-aware scheduling for cloud computing systems
inferredcites →https://doi.org/10.1016/j.jpdc.2012.01.006openalex-snapshot
Understanding the future of energy-performance trade-off via DVFS in HPC environments
inferredcites →https://doi.org/10.1016/j.jpdc.2012.03.005openalex-snapshot
Adaptive energy-efficient scheduling for real-time tasks on DVS-enabled heterogeneous clusters
inferredcites →https://doi.org/10.1016/j.jpdc.2013.07.019openalex-snapshot
Stochastic DAG scheduling using a Monte Carlo approach
inferredcites →https://doi.org/10.1016/j.sysarc.2012.07.001openalex-snapshot
Three-phase time-aware energy minimization with DVFS and unrolling for Chip Multiprocessors
inferredcites →https://doi.org/10.1016/s1007-0214(10)70071-7openalex-snapshot
Concurrent and storage-aware data streaming for data processing workflows in grid environments
inferredcites →https://doi.org/10.1093/comjnl/bxu002openalex-snapshot
Enhanced Energy-Efficient Scheduling for Parallel Tasks Using Partial Optimal Slacking
inferredcites →https://doi.org/10.1109/71.993206openalex-snapshot
Performance-effective and low-complexity task scheduling for heterogeneous computing
inferredcites →https://doi.org/10.1109/cbd.2014.18openalex-snapshot
Deadline Constrained Energy-Efficient Scheduling for Workflows in Clouds
inferredcites →https://doi.org/10.1109/ccgrid.2009.16openalex-snapshot
Minimizing Energy Consumption for Precedence-Constrained Applications Using Dynamic Voltage Scaling
inferredcites →https://doi.org/10.1109/ccgrid.2010.19openalex-snapshot
Towards Energy Aware Scheduling for Precedence Constrained Parallel Tasks in a Cluster with DVFS
inferredcites →https://doi.org/10.1109/ccgrid.2010.38openalex-snapshot
Linear Combinations of DVFS-Enabled Processor Frequencies to Modify the Energy-Aware Scheduling Algorithms
inferredcites →https://doi.org/10.1109/ccgrid.2012.49openalex-snapshot
Enhanced Energy-Efficient Scheduling for Parallel Applications in Cloud
inferredcites →https://doi.org/10.1109/icpads.2002.1183422openalex-snapshot
Power-aware resource allocation for independent tasks in heterogeneous real-time systems
inferredcites →https://doi.org/10.1109/icppw.2014.26openalex-snapshot
Energy-Aware Workflow Scheduling Using Frequency Scaling
inferredcites →https://doi.org/10.1109/tc.2007.48openalex-snapshot
Energy-Aware Modeling and Scheduling for Dynamic Voltage Scaling with Statistical Real-Time Guarantee
inferredcites →https://doi.org/10.1109/tpds.2003.1214320openalex-snapshot
Scheduling with dynamic voltage/speed adjustment using slack reclamation in multiprocessor real-time systems
inferredcites →https://doi.org/10.1109/tpds.2007.1026openalex-snapshot
Analyzing the Energy-Time Trade-Off in High-Performance Computing Applications
inferredcites →https://doi.org/10.1109/tpds.2010.208openalex-snapshot
Energy Conscious Scheduling for Distributed Computing Systems under Different Operating Conditions
inferredcites →https://doi.org/10.1109/tpds.2012.20openalex-snapshot
Survey of Energy-Cognizant Scheduling Techniques
inferredcites →https://doi.org/10.1109/tpds.2013.270openalex-snapshot
Energy-Efficient Stochastic Task Scheduling on Heterogeneous Computing Systems
inferredcites →https://doi.org/10.1109/tst.2013.6522589openalex-snapshot
QoS-aware virtual machine scheduling for video streaming services in multi-cloud
inferredcites →https://doi.org/10.1145/1542275.1542340openalex-snapshot
Adagio
inferredcites →https://doi.org/10.1155/2014/307809openalex-snapshot
A Novel Data-Driven Terminal Iterative Learning Control with Iteration Prediction Algorithm for a Class of Discrete-Time Nonlinear Systems
inferredcites →https://doi.org/10.1155/2014/370917openalex-snapshot
An Efficient Biobjective Heuristic for Scheduling Workflows on Heterogeneous DVS-Enabled Processors

What points at this work

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

inferred← citeshttps://doi.org/10.1002/cpe.3586openalex-snapshot
Recent research advances in cloud computing and big data
inferred← citeshttps://doi.org/10.1002/cpe.4124openalex-snapshot
Duplication‐controlled static energy‐efficient scheduling on multiprocessor computing system
inferred← citeshttps://doi.org/10.1002/cpe.4731openalex-snapshot
Energy‐efficient task scheduling on heterogeneous computing systems by linear programming
inferred← citeshttps://doi.org/10.1002/cpe.6761openalex-snapshot
Deadline‐constrained cost‐energy aware workflow scheduling in cloud
inferred← citeshttps://doi.org/10.1007/s11277-023-10841-2openalex-snapshot
Simulative Analysis and Performance Evaluation for Data Variety Aware Power Optimization Technique Using Big Data
inferred← citeshttps://doi.org/10.1016/j.sysarc.2021.102311openalex-snapshot
Are task mappings with the highest frequency of servers so good? A case study on Heterogeneous Earliest Finish Time (HEFT) algorithm
inferred← citeshttps://doi.org/10.1088/1742-6596/1994/1/012037openalex-snapshot
An optimized workflow scheduling algorithm on CPU-GPU heterogeneous systems
inferred← citeshttps://doi.org/10.1109/cloud49709.2020.00019openalex-snapshot
Constrained Energy-Cost-Aware Workflow Scheduling for Cloud Environment
inferred← citeshttps://doi.org/10.1109/cscwd.2018.8465172openalex-snapshot
Energy-aware Task Scheduling on DVS-enabled Heterogeneous Clusters by Iterated Local Search
inferred← citeshttps://doi.org/10.1109/hpcc-smartcity-dss.2016.0163openalex-snapshot
Energy-Aware Task Scheduling with Precedence and Deadline Constraints on MPSoCs
inferred← citeshttps://doi.org/10.1109/pccc.2016.7820647openalex-snapshot
Energy-efficient task scheduling for DVFS-enabled heterogeneous computing systems using a linear programming approach
inferred← citeshttps://doi.org/10.1145/3344341.3368822openalex-snapshot
J-OPT: A Joint Host and Network Optimization Algorithm for Energy-Efficient Workflow Scheduling in Cloud Data Centers
inferred← citeshttps://doi.org/10.3390/electronics10020209openalex-snapshot
Bi-Objective Workflow Scheduling on Heterogeneous Computing Systems Using a Memetic Algorithm
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