相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Energy and Migration Cost-Aware Dynamic Virtual Machine Consolidation in Heterogeneous Cloud Datacenters
Quanwang Wu et al.
IEEE TRANSACTIONS ON SERVICES COMPUTING (2019)
Improving Data-Analytics Performance Via Autonomic Control of Concurrency and Resource Units
Gil Jae Lee et al.
ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS (2019)
A Priority-Based Max-Min Scheduling Algorithm for Cloud Environment Using Fuzzy Approach
A. Sandana Karuppan et al.
INTERNATIONAL CONFERENCE ON COMPUTER NETWORKS AND COMMUNICATION TECHNOLOGIES (ICCNCT 2018) (2019)
Novel Scheduling Algorithms for Efficient Deployment of MapReduce Applications in Heterogeneous Computing Environments
Sun-Yuan Hsieh et al.
IEEE TRANSACTIONS ON CLOUD COMPUTING (2018)
A Fuzzy-Based Intelligent Cloud Broker with MapReduce Framework to Evaluate the Trust Level of Cloud Services Using Customer Feedback
Rajganesh Nagarajan et al.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS (2018)
Energy policies for data-center monolithic schedulers
Damian Fernandez-Cerero et al.
EXPERT SYSTEMS WITH APPLICATIONS (2018)
Energy-efficient hadoop for big data analytics and computing: A systematic review and research insights
WenTai Wu et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)
GEODIS: towards the optimization of data locality-aware job scheduling in geo-distributed data centers
Moise W. Convolbo et al.
COMPUTING (2018)
SLA-aware energy-efficient scheduling scheme for Hadoop YARN
Xiaojun Cai et al.
JOURNAL OF SUPERCOMPUTING (2017)
Moving Hadoop into the Cloud with Flexible Slot Management and Speculative Execution
Yanfei Guo et al.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2017)
Self-Adjusting Slot Configurations for Homogeneous and Heterogeneous Hadoop Clusters
Yi Yao et al.
IEEE TRANSACTIONS ON CLOUD COMPUTING (2017)
Experimental Study on Performance and Energy Consumption of Hadoop in Cloud Environments
Aymen Jlassi et al.
CLOUD COMPUTING AND SERVICES SCIENCE, CLOSER 2016 (2017)
Task scheduling for MapReduce in heterogeneous networks
Jia Wang et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2016)
Hybrid Job-Driven Scheduling for Virtual MapReduce Clusters
Ming-Chang Lee et al.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2016)
Dynamic Job Ordering and Slot Configurations for MapReduce Workloads
Shanjiang Tang et al.
IEEE TRANSACTIONS ON SERVICES COMPUTING (2016)
FiDoop: Parallel Mining of Frequent Itemsets Using MapReduce
Yaling Xun et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2016)
Benchmarking Hadoop Performance in the Cloud An in Depth Study of Resource Management and Energy Consumption
Aymen Jlassi et al.
PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND SERVICES SCIENCE, VOL 2 (CLOSER) (2016)
Classification Framework of MapReduce Scheduling Algorithms
Nidhi Tiwari et al.
ACM COMPUTING SURVEYS (2015)
Energy-Aware Scheduling of MapReduce Jobs for Big Data Applications
Lena Mashayekhy et al.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2015)
A Group Mining Method for Big Data on Distributed Vehicle Trajectories in WAN
Jie Yang et al.
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS (2015)
Resource and Deadline-aware Job Scheduling in Dynamic Hadoop Clusters
Dazhao Cheng et al.
2015 IEEE 29TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS) (2015)
A Fuzzy Logic-based Controller for Cost and Energy Efficient Load Balancing in Geo-Distributed Data Centers
Adel Nadjaran Toosi et al.
2015 IEEE/ACM 8TH INTERNATIONAL CONFERENCE ON UTILITY AND CLOUD COMPUTING (UCC) (2015)
MapReduce framework energy adaptation via temperature awareness
Jessica Hartog et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2014)
MapReduce delay scheduling with deadline constraint
Hongliang Li et al.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2014)
A Novel Task Scheduling Approach for Reducing Energy Consumption of MapReduce Cluster
Jie Song et al.
IETE TECHNICAL REVIEW (2014)
Workload Analysis, Implications, and Optimization on a Production Hadoop Cluster: A Case Study on Taobao
Zujie Ren et al.
IEEE TRANSACTIONS ON SERVICES COMPUTING (2014)
A MapReduce task scheduling algorithm for deadline constraints
Zhuo Tang et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2013)
Rack aware scheduling in HPC data centers: an energy conservation strategy
Vikas Ashok Patil et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2013)
On detection of emerging anomalous traffic patterns using GPS data
Linsey Xiaolin Pang et al.
DATA & KNOWLEDGE ENGINEERING (2013)
G-Hadoop: MapReduce across distributed data centers for data-intensive computing
Lizhe Wang et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2013)
Orchestrating an Ensemble of MapReduce Jobs for Minimizing Their Makespan
Abhishek Verma et al.
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING (2013)
Deadline-Based MapReduce Workload Management
Jorda Polo et al.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT (2013)
Exploiting Spatio-Temporal Tradeoffs for Energy-Aware MapReduce in the Cloud
Michael Cardosa et al.
IEEE TRANSACTIONS ON COMPUTERS (2012)
Improving Resource Utilization in MapReduce
Zhenhua Guo et al.
2012 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER) (2012)
Energy Management for MapReduce Clusters
Willis Lang et al.
PROCEEDINGS OF THE VLDB ENDOWMENT (2010)
分享论文
