On the public citation graph
Characterization and Comparison of Cloud versus Grid Workloads
0 signed · 177 inferred · view as graph
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.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-44444-0_9openalex-snapshot
XtremWeb: Building an Experimental Platform for Global Computing
inferredcites →https://doi.org/10.1007/978-0-387-68606-6openalex-snapshot
Adaptive Filtering: Algorithms and Practical Implementation
inferredcites →https://doi.org/10.1007/s10586-010-0121-zopenalex-snapshot
Exploiting performance characterization of BLAST in the grid
inferredcites →https://doi.org/10.1007/s11227-008-0189-xopenalex-snapshot
Workload dynamics on clusters and grids
inferredcites →https://doi.org/10.1016/j.future.2006.11.001openalex-snapshot
Characterizing resource availability in enterprise desktop grids
inferredcites →https://doi.org/10.1016/s0024-6301(97)80978-8openalex-snapshot
The 80/20 principle: The secret of achieving more with less
inferredcites →https://doi.org/10.1017/cbo9781139939690openalex-snapshot
Workload Modeling for Computer Systems Performance Evaluation
inferredcites →https://doi.org/10.1109/ccgrid.2007.23openalex-snapshot
Analysis and Synthesis of Pseudo-Periodic Job Arrivals in Grids: A Matching Pursuit Approach
inferredcites →https://doi.org/10.1109/noms.2012.6212065openalex-snapshot
Workload characterization and prediction in the cloud: A multiple time series approach
inferredcites →https://doi.org/10.1145/1064979.1065005openalex-snapshot
The entropia virtual machine for desktop grids
inferredcites →https://doi.org/10.1145/1375527.1375580openalex-snapshot
A regression-based approach to scalability prediction
inferredcites →https://doi.org/10.1145/2038916.2038919openalex-snapshot
Modeling and synthesizing task placement constraints in Google compute clusters
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.4511060openalex-extracted
Uncertainty Aware Vm Provisioning in Cloud: Multi-Constrained Optimization Approach
inferred← citeshttps://doi.org/10.1002/cpe.4352openalex-snapshot
Reducing the number of response time service level objective violations by a cloud‐HPC convergence scheduler
inferred← citeshttps://doi.org/10.1002/cpe.4906openalex-snapshot
Optimization of checkpointing/recovery strategy in cloud computing with adaptive storage management
inferred← citeshttps://doi.org/10.1002/cpe.7559openalex-snapshot
Predicting machine behavior from Google cluster workload traces
inferred← citeshttps://doi.org/10.1002/cpe.7680openalex-snapshot
Real‐time trust aware scheduling in fog‐cloud systems
inferred← citeshttps://doi.org/10.1002/spe.2303openalex-snapshot
GloudSim: Google trace based cloud simulator with virtual machines
inferred← citeshttps://doi.org/10.1002/spe.2426openalex-snapshot
Resource requests prediction in the cloud computing environment with a deep belief network
inferred← citeshttps://doi.org/10.1007/978-3-030-23374-7_1openalex-snapshot
Characterization of IoT Workloads
inferred← citeshttps://doi.org/10.1007/978-3-030-49556-5_26openalex-snapshot
Anomaly Analysis and Diagnosis for Co-located Datacenter Workloads in the Alibaba Cluster
inferred← citeshttps://doi.org/10.1007/978-3-030-85665-6_3openalex-snapshot
Trace-Based Workload Generation and Execution
inferred← citeshttps://doi.org/10.1007/978-3-319-27308-2_51openalex-snapshot
A Holistic Approach to Log Data Analysis in High-Performance Computing Systems: The Case of IBM Blue Gene/Q
inferred← citeshttps://doi.org/10.1007/978-3-319-39077-2_9openalex-snapshot
Chameleon: Virtual Machine Migration Supporting Cascading Overload Management in Cloud
inferred← citeshttps://doi.org/10.1007/978-3-319-59090-5_9openalex-snapshot
Custom Hardware Versus Cloud Computing in Big Data
inferred← citeshttps://doi.org/10.1007/978-3-319-61756-5_15openalex-snapshot
Open Issues in Cloud Resource Management
inferred← citeshttps://doi.org/10.1007/978-3-319-62238-5_7openalex-snapshot
Energy Saving in Cloud by Using Enhanced Instance Based Learning (EIBL) for Resource Prediction
inferred← citeshttps://doi.org/10.1007/978-3-319-62737-3_11openalex-snapshot
Data Stream Mining Based-Outlier Prediction for Cloud Computing
inferred← citeshttps://doi.org/10.1007/978-3-319-65548-2_8openalex-snapshot
Is High Performance Computing (HPC) Ready to Handle Big Data?
inferred← citeshttps://doi.org/10.1007/978-3-319-93698-7_44openalex-snapshot
Workload Characterization and Evolutionary Analyses of Tianhe-1A Supercomputer
inferred← citeshttps://doi.org/10.1007/978-3-662-48616-0_6openalex-snapshot
Optimizing Workload Category for Adaptive Workload Prediction in Service Clouds
inferred← citeshttps://doi.org/10.1007/978-981-97-0213-8_2openalex-snapshot
Recent Advancements of Public Edge Platforms
inferred← citeshttps://doi.org/10.1007/s00521-019-04022-1openalex-snapshot
Workload-driven coordination between virtual machine allocation and task scheduling
inferred← citeshttps://doi.org/10.1007/s00607-015-0480-7openalex-snapshot
A Big Data analyzer for large trace logs
inferred← citeshttps://doi.org/10.1007/s10489-018-1194-2openalex-snapshot
A load prediction model for cloud computing using PSO-based weighted wavelet support vector machine
inferred← citeshttps://doi.org/10.1007/s10586-016-0564-yopenalex-snapshot
Towards operator-less data centers through data-driven, predictive, proactive autonomics
inferred← citeshttps://doi.org/10.1007/s10586-018-2256-2openalex-snapshot
A case study of a shared/buy-in computing ecosystem
inferred← citeshttps://doi.org/10.1007/s10586-020-03191-2openalex-snapshot
OMBM-ML: efficient memory bandwidth management for ensuring QoS and improving server utilization
inferred← citeshttps://doi.org/10.1007/s10586-025-05479-7openalex-snapshot
Cloud workload prediction based on wavelet transform noise reduction and a TCN-GRU hybrid model
inferred← citeshttps://doi.org/10.1007/s10723-017-9410-6openalex-snapshot
Adaptive Resource Allocation with Job Runtime Uncertainty
inferred← citeshttps://doi.org/10.1007/s10723-022-09639-6openalex-snapshot
An Integrated Deep Learning Prediction Approach for Efficient Modelling of Host Load Patterns in Cloud Computing
inferred← citeshttps://doi.org/10.1007/s10766-016-0439-0openalex-snapshot
Developing an Efficient Pattern Discovery Method for CPU Utilizations of Computers
inferred← citeshttps://doi.org/10.1007/s11227-014-1097-xopenalex-snapshot
A new method based on PSR and EA-GMDH for host load prediction in cloud computing system
inferred← citeshttps://doi.org/10.1007/s11227-014-1131-zopenalex-snapshot
Characterizing and modeling cloud applications/jobs on a Google data center
inferred← citeshttps://doi.org/10.1007/s11227-015-1426-8openalex-snapshot
Multi-step-ahead host load prediction using autoencoder and echo state networks in cloud computing
inferred← citeshttps://doi.org/10.1007/s11227-015-1520-yopenalex-snapshot
A hybrid heuristic-based tuned support vector regression model for cloud load prediction
inferred← citeshttps://doi.org/10.1007/s11227-017-2044-4openalex-snapshot
Host load prediction with long short-term memory in cloud computing
inferred← citeshttps://doi.org/10.1007/s11227-019-02967-7openalex-snapshot
Host load prediction in cloud computing using Long Short-Term Memory Encoder–Decoder
inferred← citeshttps://doi.org/10.1007/s11227-019-02996-2openalex-snapshot
Measuring data-centre workflows complexity through process mining: the Google cluster case
inferred← citeshttps://doi.org/10.1007/s11227-021-04138-zopenalex-snapshot
Cluster resource scheduling in cloud computing: literature review and research challenges
inferred← citeshttps://doi.org/10.1016/j.future.2015.08.018openalex-snapshot
Increasing task consolidation efficiency by using more accurate resource estimations
inferred← citeshttps://doi.org/10.1016/j.hcc.2023.100165openalex-snapshot
Machine learning job failure analysis and prediction model for the cloud environment
inferred← citeshttps://doi.org/10.1016/j.jpdc.2013.10.001openalex-snapshot
Google hostload prediction based on Bayesian model with optimized feature combination
inferred← citeshttps://doi.org/10.1016/j.parco.2015.07.001openalex-snapshot
Analyzing real cluster data for formulating allocation algorithms in cloud platforms
inferred← citeshttps://doi.org/10.1016/j.peva.2018.08.001openalex-snapshot
Characterizing machines lifecycle in Google data centers
inferred← citeshttps://doi.org/10.1016/j.simpat.2018.09.011openalex-snapshot
Green energy efficient scheduling management
inferred← citeshttps://doi.org/10.1016/j.suscom.2017.12.004openalex-snapshot
Modeling, classifying and generating large-scale Google-like workload
inferred← citeshttps://doi.org/10.1088/1742-6596/1032/1/012048openalex-snapshot
A comparison of resource allocation process in grid and cloud technologies
inferred← citeshttps://doi.org/10.1093/comjnl/bxv106openalex-snapshot
Virtual Machine Customization and Task Mapping Architecture for Efficient Allocation of Cloud Data Center Resources
inferred← citeshttps://doi.org/10.1109/access.2021.3070915openalex-snapshot
A Novel Reliability Index to Assess the Computational Resource Adequacy in Data Centers
inferred← citeshttps://doi.org/10.1109/access.2023.3289884openalex-snapshot
Leveraging Sparse Auto-Encoding and Dynamic Learning Rate for Efficient Cloud Workloads Prediction
inferred← citeshttps://doi.org/10.1109/bigdata.2017.8258257openalex-snapshot
Imbalance in the cloud: An analysis on Alibaba cluster trace
inferred← citeshttps://doi.org/10.1109/bigdata.2018.8622518openalex-snapshot
Analyzing Alibaba’s Co-located Datacenter Workloads
inferred← citeshttps://doi.org/10.1109/bigdata.congress.2014.108openalex-snapshot
Trace-Based Analysis and Prediction of Cloud Computing User Behavior Using the Fractal Modeling Technique
inferred← citeshttps://doi.org/10.1109/bigdata50022.2020.9377802openalex-snapshot
Exploring Characteristics of Inter-cluster Machines and Cloud Applications on Google Clusters
inferred← citeshttps://doi.org/10.1109/ccai50917.2021.9447455openalex-snapshot
An Attention-based GRU Encoder Decoder for Hostload Prediction in a Data Center
inferred← citeshttps://doi.org/10.1109/ccgrid.2015.139openalex-snapshot
Predicting and Mitigating Jobs Failures in Big Data Clusters
inferred← citeshttps://doi.org/10.1109/ccgrid.2015.60openalex-snapshot
Statistical Characterization of Business-Critical Workloads Hosted in Cloud Datacenters
inferred← citeshttps://doi.org/10.1109/ccgrid.2015.99openalex-snapshot
Discriminative Model for Google Host Load Prediction with Rich Feature Set
inferred← citeshttps://doi.org/10.1109/ccgrid59990.2024.00051openalex-snapshot
High-throughput Real-time Edge Stream Processing with Topology-Aware Resource Matching
inferred← citeshttps://doi.org/10.1109/cgc.2013.10openalex-snapshot
Host Load Prediction Based on PSR and EA-GMDH for Cloud Computing System
inferred← citeshttps://doi.org/10.1109/cit/iucc/dasc/picom.2015.220openalex-snapshot
C2@home - A Novel User-Side Cloud-of-Clouds Management Architecture
inferred← citeshttps://doi.org/10.1109/cloud.2018.00104openalex-snapshot
Adaptive Online Runtime Prediction to Improve HPC Applications Latency in Cloud
inferred← citeshttps://doi.org/10.1109/cloud.2019.00048openalex-snapshot
A Transactional Framework for Broadening Access to Geo-Diversification
inferred← citeshttps://doi.org/10.1109/cloudtech.2016.7847712openalex-snapshot
Reducing the number of response time SLO violations by a cloud-HPC convergence scheduler
inferred← citeshttps://doi.org/10.1109/compsac.2015.223openalex-snapshot
A Meta-Heuristic Load Balancer for Cloud Computing Systems
inferred← citeshttps://doi.org/10.1109/conit61985.2024.10626633openalex-snapshot
Analysis of Workload in Google Cluster Trace based on Job Termination Events
inferred← citeshttps://doi.org/10.1109/cscloud.2016.21openalex-snapshot
A Consolidation Strategy Supporting Resources Oversubscription in Cloud Computing
inferred← citeshttps://doi.org/10.1109/dsdis.2015.94openalex-snapshot
A Prediction Based Capacity Planning Strategy for Virtual Servers
inferred← citeshttps://doi.org/10.1109/dsmp.2018.8478443openalex-snapshot
Cloud Datacenter Workload Prediction Using Complex-Valued Neural Networks
inferred← citeshttps://doi.org/10.1109/dsn.2015.37openalex-snapshot
Understanding the Dark Side of Big Data Clusters: An Analysis beyond Failures
inferred← citeshttps://doi.org/10.1109/fas-w.2018.00028openalex-snapshot
OMBM-ML: An Efficient Memory Bandwidth Management for Ensuring QoS and Improving Server Utilization
inferred← citeshttps://doi.org/10.1109/ficloud.2018.00055openalex-snapshot
PASHE: Privacy Aware Scheduling in a Heterogeneous Fog Environment
inferred← citeshttps://doi.org/10.1109/fskd.2015.7382084openalex-snapshot
An efficient method for motif discovery in CPU host load
inferred← citeshttps://doi.org/10.1109/gcc45510.2019.1570516010openalex-snapshot
Failure Characterization and Prediction of Scheduling Jobs in Google Cluster Traces
inferred← citeshttps://doi.org/10.1109/hpec49654.2021.9622850openalex-snapshot
The MIT Supercloud Dataset
inferred← citeshttps://doi.org/10.1109/iadcc.2014.6779441openalex-snapshot
Task shape classification and workload characterization of google cluster trace
inferred← citeshttps://doi.org/10.1109/ic2e.2015.25openalex-snapshot
Cloud Desktop Workload: A Characterization Study
inferred← citeshttps://doi.org/10.1109/ic2e52221.2021.00027openalex-snapshot
SLO-aware Virtual Rebalancing for Edge Stream Processing
inferred← citeshttps://doi.org/10.1109/iccac.2015.19openalex-snapshot
Towards Data-Driven Autonomics in Data Centers
inferred← citeshttps://doi.org/10.1109/iccc47050.2019.9064097openalex-snapshot
Research on Load Prediction Based on Improve GWO and ELM in Cloud Computing
inferred← citeshttps://doi.org/10.1109/icfc.2019.00012openalex-snapshot
Diffusion Approximation Models for Cloud Computations with Task Migrations
inferred← citeshttps://doi.org/10.1109/iciinfs.2018.8721402openalex-snapshot
Datacenter Workload Classification and Characterization: An Empirical Approach
inferred← citeshttps://doi.org/10.1109/icoin.2017.7899568openalex-snapshot
Server load prediction using stream mining
inferred← citeshttps://doi.org/10.1109/icpads.2017.00073openalex-snapshot
Maximizing the Profit of Cloud Broker with Priority Aware Pricing
inferred← citeshttps://doi.org/10.1109/icpads47876.2019.00028openalex-snapshot
Characterizing and Balancing the Workloads of Semi-Containerized Clouds
inferred← citeshttps://doi.org/10.1109/icpp.2013.56openalex-snapshot
Characterizing Cloud Applications on a Google Data Center
inferred← citeshttps://doi.org/10.1109/icstcee49637.2020.9276944openalex-snapshot
Improving elasticity in cloud with predictive algorithms
inferred← citeshttps://doi.org/10.1109/iecon.2018.8592822openalex-snapshot
Failure Analysis and Characterization of Scheduling Jobs in Google Cluster Trace
inferred← citeshttps://doi.org/10.1109/igcc.2016.7892623openalex-snapshot
Modeling and generating large-scale Google-like workload
inferred← citeshttps://doi.org/10.1109/incacct61598.2024.10551146openalex-snapshot
Google Cloud Trace: Characterization of Terminated Jobs
inferred← citeshttps://doi.org/10.1109/infcomw.2016.7562213openalex-snapshot
Quantitative workload analysis and prediction using Google cluster traces
inferred← citeshttps://doi.org/10.1109/isca45697.2020.00061openalex-snapshot
CLR-DRAM: A Low-Cost DRAM Architecture Enabling Dynamic Capacity-Latency Trade-Off
inferred← citeshttps://doi.org/10.1109/isgt-europe47291.2020.9248891openalex-snapshot
Characterizing Failure and Repair Time of Servers in a Hyper-scale Data Center
inferred← citeshttps://doi.org/10.1109/isspit.2016.7886058openalex-snapshot
Categorizing hardware failure in large scale cloud computing environment
inferred← citeshttps://doi.org/10.1109/issre.2014.34openalex-snapshot
Failure Analysis of Jobs in Compute Clouds: A Google Cluster Case Study
inferred← citeshttps://doi.org/10.1109/ithings-greencom-cpscom-smartdata.2017.79openalex-snapshot
Characterisation of Hidden Periodicity in Large-Scale Cloud Datacentre Environments
inferred← citeshttps://doi.org/10.1109/iwqos.2013.6550263openalex-snapshot
Optimization and stabilization of composite service processing in a cloud system
inferred← citeshttps://doi.org/10.1109/ojcoms.2020.2969646openalex-snapshot
A Game-Theoretic Analysis of Shared/Buy-in Computing Systems
inferred← citeshttps://doi.org/10.1109/onlinegreencom.2014.7114422openalex-snapshot
Energy-aware scheduling schemes for cloud data centers on Google trace data
inferred← citeshttps://doi.org/10.1109/sbac-pad.2014.44openalex-snapshot
Analyzing Real Cluster Data for Formulating Allocation Algorithms in Cloud Platforms
inferred← citeshttps://doi.org/10.1109/sbac-pad49847.2020.00017openalex-snapshot
Optically Connected Memory for Disaggregated Data Centers
inferred← citeshttps://doi.org/10.1109/scw63240.2024.00070openalex-snapshot
From Failure to Insight: Analyzing Disk Breakdowns in Large-Scale HPC Environments
inferred← citeshttps://doi.org/10.1109/seaa53835.2021.00031openalex-snapshot
An Approach for Ranking Feature-based Clustering Methods and its Application in Multi-System Infrastructure Monitoring
inferred← citeshttps://doi.org/10.1109/sose.2014.50openalex-snapshot
Multi-tenancy in Cloud Computing
inferred← citeshttps://doi.org/10.1109/sti53101.2021.9732590openalex-snapshot
Application of Predictive Maintenance in Industry 4.0: A Use-Case Study for Datacenters
inferred← citeshttps://doi.org/10.1109/tc.2014.2329685openalex-snapshot
Optimization of Composite Cloud Service Processing with Virtual Machines
inferred← citeshttps://doi.org/10.1109/tcc.2013.16openalex-snapshot
Adaptive Algorithm for Minimizing Cloud Task Length with Prediction Errors
inferred← citeshttps://doi.org/10.1109/tcc.2014.2344680openalex-snapshot
Towards Optimized Fine-Grained Pricing of IaaS Cloud Platform
inferred← citeshttps://doi.org/10.1109/tcc.2017.2766227openalex-snapshot
Google Users as Sequences: A Robust Hierarchical Cluster Analysis Study
inferred← citeshttps://doi.org/10.1109/tcc.2019.2920914openalex-snapshot
An Energy and Performance Aware Consolidation Technique for Containerized Datacenters
inferred← citeshttps://doi.org/10.1109/tcc.2020.2992949openalex-snapshot
Autonomic Elasticity Control for Multi-Server Queues Under Generic Workload Surges in Cloud Environments
inferred← citeshttps://doi.org/10.1109/tkde.2025.3619097openalex-snapshot
OMCR: An Online Multivariate Forecaster for Cloud Resource Management
inferred← citeshttps://doi.org/10.1109/tpds.2012.309openalex-snapshot
Error-Tolerant Resource Allocation and Payment Minimization for Cloud System
inferred← citeshttps://doi.org/10.1109/tsc.2014.2376563openalex-snapshot
Modeling Active Virtual Machines on IaaS Clouds Using an M/G/m/m+K Queue
inferred← citeshttps://doi.org/10.1109/tsc.2016.2543718openalex-snapshot
Failure Analysis and Prediction for Big-Data Systems
inferred← citeshttps://doi.org/10.1109/tsc.2019.2914649openalex-snapshot
Scheduling Real-Time Security Aware Tasks in Fog Networks
inferred← citeshttps://doi.org/10.1109/tsc.2021.3063118openalex-snapshot
MespaConfig: Memory-Sparing Configuration Auto-Tuning for Co-Located In-Memory Cluster Computing Jobs
inferred← citeshttps://doi.org/10.1109/ucc.2014.144openalex-snapshot
Workload Analysis for the Scope of User Demand Prediction Model Evaluations in Cloud Environments
inferred← citeshttps://doi.org/10.1109/ucc.2014.17openalex-snapshot
A Methodology for Online Consolidation of Tasks through More Accurate Resource Estimations
inferred← citeshttps://doi.org/10.1109/uic-atc-scalcom-cbdcom-iop.2015.194openalex-snapshot
Towards a Deep Belief Network-Based Cloud Resource Demanding Prediction
inferred← citeshttps://doi.org/10.1109/urtc.2016.8284071openalex-snapshot
Workload characterization of the shared/buy-in computing cluster at boston university
inferred← citeshttps://doi.org/10.1145/2391229.2391236openalex-snapshot
Heterogeneity and dynamicity of clouds at scale
inferred← citeshttps://doi.org/10.1145/2503210.2503217openalex-snapshot
Optimization of cloud task processing with checkpoint-restart mechanism
inferred← citeshttps://doi.org/10.1145/2656075.2656095openalex-snapshot
Prediction and control of bursty cloud workloads
inferred← citeshttps://doi.org/10.1145/2670979.2670999openalex-snapshot
Long-term SLOs for reclaimed cloud computing resources
inferred← citeshttps://doi.org/10.1145/2741948.2741964openalex-snapshot
Large-scale cluster management at Google with Borg
inferred← citeshttps://doi.org/10.1145/2788402.2788404openalex-snapshot
Special Issue on Performance and Resource Management in Big Data Applications
inferred← citeshttps://doi.org/10.1145/2788402.2788406openalex-snapshot
Demystifying Casualties of Evictions in Big Data Priority Scheduling
inferred← citeshttps://doi.org/10.1145/2855667.2855675openalex-snapshot
CPU utilization prediction methods overview
inferred← citeshttps://doi.org/10.1145/3267809.3267830openalex-snapshot
The Elasticity and Plasticity in Semi-Containerized Co-locating Cloud Workload
inferred← citeshttps://doi.org/10.1145/3352460.3358267openalex-snapshot
Quantifying Memory Underutilization in HPC Systems and Using it to Improve Performance via Architecture Support
inferred← citeshttps://doi.org/10.1145/3507548.3507588openalex-snapshot
Use Machine Learning to Predict the Running Time of the Program
inferred← citeshttps://doi.org/10.1371/journal.pone.0175861openalex-snapshot
Speeding up profiling program’s runtime characteristics for workload consolidation
inferred← citeshttps://doi.org/10.14288/1.0167620openalex-snapshot
Failure analysis and prediction in compute clouds
inferred← citeshttps://doi.org/10.1504/ijguc.2016.081016openalex-snapshot
An incremental clustering pattern sequence-based short-term load prediction for cloud computing
inferred← citeshttps://doi.org/10.1504/ijnvo.2014.067878openalex-snapshot
A survey into performance and energy efficiency in HPC, cloud and big data environments
inferred← citeshttps://doi.org/10.1587/transinf.2018edp7038openalex-snapshot
Improving Per-Node Computing Efficiency by an Adaptive Lock-Free Scheduling Model
inferred← citeshttps://doi.org/10.1631/jzus.c1300109openalex-snapshot
A mixture of HMM, GA, and Elman network for load prediction in cloud-oriented data centers
inferred← citeshttps://doi.org/10.17485/ijst/2015/v8i35/72419openalex-snapshot
Exploring Non-Homogeneity and Dynamicity of High Scale Cloud through Hive and Pig
inferred← citeshttps://doi.org/10.2139/ssrn.5380276openalex-snapshot
Cluster Workload Allocation: A Hybrid Heuristic and Transfer Learning Approach
inferred← citeshttps://doi.org/10.23919/inm.2017.7987292openalex-snapshot
Time-series models for cloud workload prediction: A comparison
inferred← citeshttps://doi.org/10.3233/apc200026openalex-snapshot
Cloud vs On-Premise HPC: A Model for Comprehensive Cost Assessment
inferred← citeshttps://doi.org/10.3390/s22052035openalex-snapshot
Analysis of Job Failure and Prediction Model for Cloud Computing Using Machine Learning
inferred← citeshttps://doi.org/10.3850/9783981537079_0987openalex-snapshot
Performance-Centric Scheduling with Task Migration for a Heterogeneous Compute Node in the Data Center
inferred← citeshttps://doi.org/10.47749/t/unicamp.2021.1166371openalex-snapshot
Photonics opportunities in modern computing systems
inferred← citeshttps://doi.org/10.48550/arxiv.1410.4449openalex-snapshot
A Holistic Approach to Log Data Analysis in High-Performance Computing Systems: The Case of IBM Blue Gene/Q
inferred← citeshttps://doi.org/10.48550/arxiv.1508.02111openalex-snapshot
10 Observations on Google Cluster Trace + 2 Measures for Cluster Utilization Enhancement
inferred← citeshttps://doi.org/10.48550/arxiv.1808.02919openalex-snapshot
Characterizing Co-located Datacenter Workloads: An Alibaba Case Study
inferred← citeshttps://doi.org/10.48550/arxiv.1811.06901openalex-snapshot
Anomaly Analysis for Co-located Datacenter Workloads in the Alibaba Cluster
inferred← citeshttps://doi.org/10.48550/arxiv.2007.15582openalex-snapshot
Host Load Prediction with Bi-directional Long Short-Term Memory in Cloud Computing
inferred← citeshttps://doi.org/10.48550/arxiv.2109.03395openalex-snapshot
From Cloud to Edge: A First Look at Public Edge Platforms
inferred← citeshttps://doi.org/10.5121/ijcnc.2019.11601openalex-snapshot
Maintaining Cloud Performance under DDOS Attacks
inferred← citeshttps://doi.org/10.5121/ijcnc.2020.12205openalex-snapshot
Auto Resource Management to Enhance Reliability and Energy Consumption in Heterogeneous Cloud Computing
inferred← citeshttps://doi.org/10.70675/1dfd50d9z2a65z4590zaf3ezf4d42c43feaeopenalex-snapshot
Datacenter management for on-site intermittent and uncertain renewable energy sources
inferred← citeshttps://doi.org/10.70675/716f84fazde9dz487azb475z54b0a563571aopenalex-snapshot
Design de l'expérience utilisateur dans les machines virtuelles : l'approche de l'allocation de ressources prédictive pour les infrastructures cloud
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.