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Evaluation of distributed stream processing frameworks for IoT applications in Smart Cities

Journal of big data, 2019-06, Vol.6 (1), p.1-24, Article 52

2019

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SVNN: an efficient PacBio-specific pipeline for structural variations calling using neural networks

BMC bioinformatics, 2021-06, Vol.22 (1), p.1-335, Article 335

2021

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Learning-based power prediction for geo-distributed Data Centers: weather parameter analysis

Journal of big data, 2020-01, Vol.7 (1), p.1-16, Article 8

2020

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A scheduling algorithm to maximize storm throughput in heterogeneous cluster

Journal of big data, 2023-12, Vol.10 (1), p.103-27, Article 103

2023

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Gapprox: using Gallup approach for approximation in Big Data processing

Journal of big data, 2019-02, Vol.6 (1), p.1-24, Article 20

2019

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IMOS: improved Meta-aligner and Minimap2 On Spark

BMC bioinformatics, 2019-01, Vol.20 (1), p.51-51, Article 51

2019

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On Data Center Demand Response: A Cloud Federation Approach

IEEE access, 2019, Vol.7, p.101829-101843

2019

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Server Consolidation Techniques in Virtualized Data Centers: A Survey

IEEE systems journal, 2017-06, Vol.11 (2), p.772-783

2017

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IEEE_Xplore

Variant Parallelism: Lightweight Deep Convolutional Models for Distributed Inference on IoT Devices

IEEE internet of things journal, 2024-01, Vol.11 (1), p.1-1

2024

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IEEE_Xplore

SRAM Leakage Reduction by Row/Column Redundancy Under Random Within-Die Delay Variation

IEEE transactions on very large scale integration (VLSI) systems, 2010-12, Vol.18 (12), p.1660-1671

2010

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IEEE_Xplore

Heterogeneous Architectures for Big Data Batch Processing in MapReduce Paradigm

IEEE transactions on big data, 2019-03, Vol.5 (1), p.18-33

Goudarzi, Maziar

2019

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IEEE_Xplore

SAIR: significance-aware approach to improve QoR of big data processing in case of budget constraint

The Journal of supercomputing, 2019-09, Vol.75 (9), p.5760-5781

2019

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Structure-aware online virtual machine consolidation for datacenter energy improvement in cloud computing

Computers & electrical engineering, 2015-02, Vol.42, p.74-89

2015

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Tariff-aware power management for reducing the break-even time of on-site solar power installation in data center

Renewable energy focus, 2020-03, Vol.32, p.55-62

2020

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FullPack: Full Vector Utilization for Sub-Byte Quantized Vector-Matrix Multiplication on General Purpose CPUs

IEEE computer architecture letters, 2024, p.1-4

2024

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IEEE_Xplore

Profit Maximization of Big Data Jobs in Cloud Using Stochastic Optimization

IEEE transactions on cloud computing, 2021-10, Vol.9 (4), p.1563-1574

2021

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IEEE_Xplore

Using Data Variety for Efficient Progressive Big Data Processing in Warehouse-Scale Computers

IEEE computer architecture letters, 2017-07, Vol.16 (2), p.166-169

2017

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IEEE_Xplore

H-Storm: A Hybrid CPU-FPGA Architecture to Accelerate Apache Storm

Journal of grid computing, 2023-12, Vol.21 (4), p.65, Article 65

2023

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Faster MapReduce Computation on Clouds Through Better Performance Estimation

IEEE transactions on cloud computing, 2019-07, Vol.7 (3), p.770-783

2019

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IEEE_Xplore

Infrastructure Aware Heterogeneous-Workloads Scheduling for Data Center Energy Cost Minimization

IEEE transactions on cloud computing, 2022-04, Vol.10 (2), p.972-983

2022

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IEEE_Xplore

Energy-Aware Scheduling for Precedence-Constrained Parallel Virtual Machines in Virtualized Data Centers

Journal of grid computing, 2015-06, Vol.13 (2), p.233-253

2015

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MapReduce service provisioning for frequent big data jobs on clouds considering data transfers

Computers & electrical engineering, 2018-10, Vol.71, p.594-610

2018

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A Task-Based Greedy Scheduling Algorithm for Minimizing Energy of MapReduce Jobs

Journal of grid computing, 2018-12, Vol.16 (4), p.535-551

2018

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Advances in Computers

1, 2016

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Power reduction in HPC data centers: a joint server placement and chassis consolidation approach

The Journal of supercomputing, 2014-11, Vol.70 (2), p.845-879

2014

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Evaluation of distributed stream processing frameworks for IoT applications in Smart Cities

SVNN: an efficient PacBio-specific pipeline for structural variations calling using neural networks

Learning-based power prediction for geo-distributed Data Centers: weather parameter analysis

A scheduling algorithm to maximize storm throughput in heterogeneous cluster

Gapprox: using Gallup approach for approximation in Big Data processing

IMOS: improved Meta-aligner and Minimap2 On Spark

On Data Center Demand Response: A Cloud Federation Approach

Server Consolidation Techniques in Virtualized Data Centers: A Survey

Variant Parallelism: Lightweight Deep Convolutional Models for Distributed Inference on IoT Devices

SRAM Leakage Reduction by Row/Column Redundancy Under Random Within-Die Delay Variation

Heterogeneous Architectures for Big Data Batch Processing in MapReduce Paradigm

SAIR: significance-aware approach to improve QoR of big data processing in case of budget constraint

Structure-aware online virtual machine consolidation for datacenter energy improvement in cloud computing

Tariff-aware power management for reducing the break-even time of on-site solar power installation in data center

FullPack: Full Vector Utilization for Sub-Byte Quantized Vector-Matrix Multiplication on General Purpose CPUs

Profit Maximization of Big Data Jobs in Cloud Using Stochastic Optimization

Using Data Variety for Efficient Progressive Big Data Processing in Warehouse-Scale Computers

H-Storm: A Hybrid CPU-FPGA Architecture to Accelerate Apache Storm

Faster MapReduce Computation on Clouds Through Better Performance Estimation

Infrastructure Aware Heterogeneous-Workloads Scheduling for Data Center Energy Cost Minimization

Energy-Aware Scheduling for Precedence-Constrained Parallel Virtual Machines in Virtualized Data Centers

MapReduce service provisioning for frequent big data jobs on clouds considering data transfers

A Task-Based Greedy Scheduling Algorithm for Minimizing Energy of MapReduce Jobs

Advances in Computers

Power reduction in HPC data centers: a joint server placement and chassis consolidation approach

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