J. Kolodziej

发表

CONCURRENCY AND COMPUTATION: PRACTICE AND EXPERIENCE Concurrency Computat.: Pract. Exper. (2012) Published online in Wiley Online Library (wileyonlinelibrary.com). DOI: 10.1002/cpe.2839 SPECIAL ISSUE PAPER Energy efficient genetic-based schedulers in comp

Albert Y. Zomaya, Lizhe Wang, Samee Ullah Khan, 2022 .

A note on new trends in data-aware scheduling and resource provisioning in modern HPC systems

Prem Prakash Jayaraman, Rajkumar Buyya, Rajiv Ranjan, 2015, Future Gener. Comput. Syst..

Hierarchical genetic computation in optimal design

J. Kolodziej, R. Schaefer, A. Paszynska, 2004 .

CHAPTER 1 GAME-BASED MODELS OF GRID USERS ’ DECISIONS IN SECURITY AWARE SCHEDULING

S. Khan, Lizhe Wang, J. Kolodziej, 2012 .

Using Traditional Data Analysis Algorithms to Detect Access Patterns for Big Data Processing

R. Ranjan, Lizhe Wang, Jiaqi Zhao, 2013 .

Maximizing Real-Time System Utilization by Adjusting Task Computation Times

Albert Y. Zomaya, Lizhe Wang, J. Kolodziej, 2012 .

The 18th International Workshop on Nature Inspired Distributed Computing

Azzedine Boukerche, Albert Y. Zomaya, Pascal Bouvry, 2015 .

Advances in Intelligent Modelling and Simulation

Samee Ullah Khan, Joanna Kolodziej, Tadeusz Burczy´nski, 2012 .

Adaptive context‐aware service optimization in mobile cloud computing accounting for security aspects

Piotr Nawrocki, Joanna Kolodziej, Bartlomiej Sniezynski, 2020, Concurr. Comput. Pract. Exp..

Evolutionary hierachical multi-criteria metaheuristics for schheduling in large-scale grid system / Joanna Kolodziej

Joanna Kolodziej, J. Kolodziej, 2012 .

A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems

Albert Y. Zomaya, A. Vishnu, P. Balaji, 2016, Computing.

Using meta-heuristics and machine learning for software optimization of parallel computing systems: a systematic literature review

I. Brandić, S. Pllana, J. Kolodziej, 2018, Computing.

Enhancing the genetic-based scheduling in computational grids by a structured hierarchical population

Fatos Xhafa, Joanna Kolodziej, F. Xhafa, 2011, Future Gener. Comput. Syst..

High-performance modelling and simulation for big data applications

H. Karatza, J. Kolodziej, H. González-Vélez, 2017, Simul. Model. Pract. Theory.

Optimal Worksharing of DNA Sequence Analysis on Accelerated Platforms

Sabri Pllana, Joanna Kolodziej, Suejb Memeti, 2016, Resource Management for Big Data Platforms.

Resource-aware hybrid scheduling algorithm in heterogeneous distributed computing

Valentin Cristea, Florin Pop, Joanna Kolodziej, 2015, Future Gener. Comput. Syst..

Future Generation Computer Systems ( ) – Future Generation Computer Systems Artificial Neural Network Support to Monitoring of the Evolutionary Driven Security Aware Scheduling in Computational Distributed Environments

Samee Ullah Khan, Jie Tao, Daniel Grzonka, 2022 .

Software Tools and Techniques for Big Data Computing in Healthcare Clouds

Albert Y. Zomaya, Rajiv Ranjan, Lizhe Wang, 2015, Future Gener. Comput. Syst..

A Review of Data Intensive Computing

Guoqing Li, Samee U. Khan, Yan Ma, 2012 .

SCORE: Simulator for cloud optimization of resources and energy consumption

Miguel Toro, Damián Fernández-Cerero, Alejandro Fernández-Montes, 2018, Simul. Model. Pract. Theory.

Modelling and simulation of security-aware task scheduling in cloud computing based on Blockchain technology

Joanna Kolodziej, Andrzej Wilczynski, J. Kolodziej, 2020, Simul. Model. Pract. Theory.

Particle Swarm Optimization based dictionary learning for remote sensing big data

Albert Y. Zomaya, Rajiv Ranjan, Ke Lu, 2015, Knowl. Based Syst..

Performance Modelling of Deep Learning on Intel Many Integrated Core Architectures

Sabri Pllana, Joanna Kolodziej, Suejb Memeti, 2019, 2019 International Conference on High Performance Computing & Simulation (HPCS).

Customizing Pareto Simulated Annealing for Multi-Objective Optimization of Control Cabinet Layout

Sabri Pllana, Joanna Kolodziej, Suejb Memeti, 2019, 2019 22nd International Conference on Control Systems and Computer Science (CSCS).

Using a multi-agent system and artificial intelligence for monitoring and improving the cloud performance and security

Sabri Pllana, Daniel Grzonka, Joanna Kolodziej, 2017, Future Gener. Comput. Syst..

Benchmarking OpenCL, OpenACC, OpenMP, and CUDA: programming productivity, performance, and energy consumption

Christoph W. Kessler, Lu Li, Sabri Pllana, 2017, ARMS-CC@PODC.

Using Artificial Neural Network For Monitoring And Supporting The Grid Scheduler Performance

Jie Tao, Daniel Grzonka, Joanna Kolodziej, 2014, ECMS.

Fuzzy cloud service selection framework

Rajiv Ranjan, Lizhe Wang, Joanna Kolodziej, 2014, 2014 IEEE 3rd International Conference on Cloud Networking (CloudNet).

On Exploitation vs Exploration of Solution Space for Grid Scheduling

Fatos Xhafa, Leonard Barolli, Makoto Takizawa, 2011, 2011 Third International Conference on Intelligent Networking and Collaborative Systems.

Intelligent Decision Systems in Large-Scale Distributed Environments

Pascal Bouvry, Horacio González-Vélez, Joanna Kolodziej, 2011, Studies in Computational Intelligence.

Cross-Layer Cloud Resource Configuration Selection in the Big Data Era

Albert Y. Zomaya, Rajiv Ranjan, Lizhe Wang, 2015, IEEE Cloud Computing.

A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems

Sherali Zeadally, Albert Y. Zomaya, Prem Prakash Jayaraman, 2016, Computing.

Future Generation Computer Systems ( ) – Future Generation Computer Systems Security, Energy, and Performance-aware Resource Allocation Mechanisms for Computational Grids

Marek Kisiel-Dorohinicki, Albert Y. Zomaya, Lizhe Wang, 2022 .

Energy and Security Awareness in Evolutionary-Driven Grid Scheduling

Albert Y. Zomaya, Lizhe Wang, Samee Ullah Khan, 2013, Evolutionary Based Solutions for Green Computing.

A survey on Green communications using Adaptive Link Rate

Sherali Zeadally, Lizhe Wang, Samee Ullah Khan, 2013, Cluster Computing.

Hierarchical genetic-based grid scheduling with energy optimization

Lizhe Wang, Samee Ullah Khan, Sajjad Ahmad Madani, 2012, Cluster Computing.

A Taxonomy of Evolutionary Inspired Solutions for Energy Management in Green Computing: Problems and Resolution Methods

Albert Y. Zomaya, Samee U. Khan, Joanna Kolodziej, 2012 .

An overview of energy efficiency techniques in cluster computing systems

Juan Li, Albert Y. Zomaya, Dzmitry Kliazovich, 2013, Cluster Computing.

Genetic Algorithms for Energy-Aware Scheduling in Computational Grids

Fatos Xhafa, Samee Ullah Khan, Joanna Kolodziej, 2011, 2011 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing.

A hybrid intelligence-aided approach to affect-sensitive e-learning

Leyuan Liu, J. Kolodziej, Jingying Chen, 2014, Computing.

Modelling and simulation of secure energy aware fog sensing systems

Ewa Niewiadomska-Szynkiewicz, Joanna Kolodziej, Andrzej Sikora, 2020, Simul. Model. Pract. Theory.

High performance wireless sensor network localisation system

Ewa Niewiadomska-Szynkiewicz, Joanna Kołodziej, Michał Marks, 2014, Int. J. Ad Hoc Ubiquitous Comput..

Modeling Mobility in Cooperative Ad Hoc Networks

Ewa Niewiadomska-Szynkiewicz, Joanna Kolodziej, Andrzej Sikora, 2013, Mob. Networks Appl..

Survey on social networking services

Rajiv Ranjan, Lizhe Wang, Samee U. Khan, 2013 .

Parallel Processing of Massive Remote Sensing Images in a GPU Architecture

Tao Yuan, Lizhe Wang, Yan Ma, 2014, Comput. Informatics.

A Review of Machine Learning and Meta-heuristic Methods for Scheduling Parallel Computing Systems

Ivona Brandic, Sabri Pllana, Joanna Kolodziej, 2018, LOPAL '18.

Load and Thermal-Aware VM Scheduling on the Cloud

Achim Streit, Yousri Mhedheb, Jie Tao, 2013, ICA3PP.

Modeling adaptive security-aware task allocation in mobile cloud computing

J. Kolodziej, B. Sniezynski, Piotr Nawrocki, 2022, Simul. Model. Pract. Theory.

A Taxonomy of Data Scheduling in Data Grids and Data Centers: Problems and Intelligent Resolution Techniques

Fatos Xhafa, Leonard Barolli, Joanna Kolodziej, 2011, 2011 International Conference on Emerging Intelligent Data and Web Technologies.

Data Scheduling in Data Grids and Data Centers: A Short Taxonomy of Problems and Intelligent Resolution Techniques

Samee Ullah Khan, Joanna Kolodziej, S. Khan, 2013, Trans. Comput. Collect. Intell..

Energy-aware parallel task scheduling in a cluster

Albert Y. Zomaya, Rajiv Ranjan, Lizhe Wang, 2013, Future Gener. Comput. Syst..

Security-aware job allocation in mobile cloud computing

Piotr Nawrocki, Joanna Kolodziej, Bartlomiej Sniezynski, 2021, 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid).

Control system for reducing energy consumption in backbone computer network

Ewa Niewiadomska-Szynkiewicz, Joanna Kolodziej, Piotr Arabas, 2013, Concurr. Comput. Pract. Exp..

Maintaining the Feasibility of Hard Real–Time Systems with a Reduced Number of Priority Levels

Muhammad Bilal Qureshi, Nasro Min-Allah, Joanna Kolodziej, 2015, Int. J. Appl. Math. Comput. Sci..

Security supportive energy-aware scheduling and energy policies for cloud environments

Damián Fernández-Cerero, Alejandro Fernández-Montes, Daniel Grzonka, 2018, J. Parallel Distributed Comput..

A survey on text mining in social networks

Albert Y. Zomaya, Lizhe Wang, Samee Ullah Khan, 2015, The Knowledge Engineering Review.

ANN-Based Secure Task Scheduling In Computational Clouds

Ana Respício, Joanna Kolodziej, Jacek Tchórzewski, 2018, ECMS.

A survey on resource allocation in high performance distributed computing systems

Albert Y. Zomaya, Dzmitry Kliazovich, Pascal Bouvry, 2013, Parallel Comput..

Resource Management for Big Data Platforms

Beniamino Di Martino, Florin Pop, Joanna Kolodziej, 2016, Computer Communications and Networks.

Stackelberg games for modeling defense scenarios against cloud security threats

Francesco Palmieri, Joanna Kolodziej, Agnieszka Jakobik, 2018, J. Netw. Comput. Appl..

Modeling hierarchical genetic strategy as a Lindenmayer system

Joanna Kolodziej, J. Kolodziej, 2002, Proceedings. International Conference on Parallel Computing in Electrical Engineering.

A Massively Parallel Approach for Nonlinear Interdependency Analysis of Multivariate Signals with GPGPU

Lizhe Wang, Xiaoli Li, Samee Ullah Khan, 2012, 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum.

Hybrid modelling and simulation of huge crowd over a hierarchical Grid architecture

Lizhe Wang, Jingying Chen, Samee Ullah Khan, 2013, Future Gener. Comput. Syst..

Multi-level hierarchic genetic-based scheduling of independent jobs in dynamic heterogeneous grid environment

Samee Ullah Khan, Joanna Kolodziej, S. Khan, 2012, Inf. Sci..

Modern approaches to modeling user requirements on resource and task allocation in hierarchical computational grids

Fatos Xhafa, Joanna Kolodziej, F. Xhafa, 2011, Int. J. Appl. Math. Comput. Sci..

A Comparative Study Of Data Center Network Architectures

Lizhe Wang, Samee Ullah Khan, Sajjad Ahmad Madani, 2012, ECMS.

A security framework in G-Hadoop for big data computing across distributed Cloud data centres

Jinjun Chen, Rajiv Ranjan, Achim Streit, 2014, J. Comput. Syst. Sci..

Stackelberg Game-Based Models In Energy-Aware Cloud Scheduling

Damián Fernández-Cerero, Alejandro Fernández-Montes, Joanna Kolodziej, 2018, ECMS.

Parallel Problem Solving from Nature - PPSN XI, 11th International Conference, Kraków, Poland, September 11-15, 2010, Proceedings, Part I

Günter Rudolph, Carlos Cotta, Robert Schaefer, 2010, Parallel Problem Solving from Nature.

Big data (lost) in the cloud

Rocco Aversa, Giuseppina Cretella, Beniamino Di Martino, 2014, Int. J. Big Data Intell..

Quality of Cloud Services Determined by the Dynamic Management of Scheduling Models for Complex Heterogeneous Workloads

Laurent Lefèvre, Damián Fernández-Cerero, Alejandro Fernández-Montes, 2018, 2018 11th International Conference on the Quality of Information and Communications Technology (QUATIC).

Hierarchical genetic-based grid scheduling with energy optimization

S. Khan, Lizhe Wang, S. Madani, 2013, Cluster Computing.

Future Generation Computer Systems ( ) – Future Generation Computer Systems Hybrid Modelling and Simulation of Huge Crowd over a Hierarchical Grid Architecture

S. Khan, Lizhe Wang, Dan Chen, 2022 .

Energy-Aware Grid Scheduling of Independent Tasks and Highly Distributed Data

Samee Ullah Khan, Sajjad Ahmad Madani, Nasro Min-Allah, 2013, 2013 11th International Conference on Frontiers of Information Technology.

Agent-based monitoring of the task scheduling in computational clouds

Daniel Grzonka, Joanna Kolodziej, Agnieszka Jakóbik, 2019, J. Intell. Fuzzy Syst..

Energy Efficient Scheduling Methods for Computational Grids and Clouds

Horacio González-Vélez, Daniel Grzonka, Joanna Kolodziej, 2017 .

Hierarchic Genetic Scheduler Of Independent Jobs In Computational Grid Environment

Fatos Xhafa, Joanna Kolodziej, Lukasz Kolanko, 2009, ECMS.

Evolutionary Hierarchical Multi-Criteria Metaheuristics for Scheduling in Large-Scale Grid Systems

Joanna Kolodziej, J. Kolodziej, 2012, Studies in Computational Intelligence.

Modeling and evaluation of highly complex computer systems architectures

Mauro Iacono, Marco Gribaudo, Florin Pop, 2017, J. Comput. Sci..

Performance analysis of data intensive cloud systems based on data management and replication: a survey

Sherali Zeadally, Albert Y. Zomaya, Rajiv Ranjan, 2016, Distributed and Parallel Databases.

Stackelberg security games: models, applications and computational aspects

Joanna Kolodziej, Agnieszka Jakóbik, Andrzej Wilczyński, 2016 .

Game-Based Models of Grid User's Decisions in Security-Aware Scheduling

Lizhe Wang, Samee U. Khan, Dan Chen, 2014 .

Supporting situated computing with intelligent multi-agent systems

Fatos Xhafa, Joanna Kolodziej, F. Xhafa, 2011, Int. J. Space Based Situated Comput..

Security aspects in blockchain-based scheduling in mobile multi-cloud computing

Daniel Grzonka, Joanna Kolodziej, Andrzej Wilczynski, 2021, 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid).

Comparative study of trust and reputation systems for wireless sensor networks

Sherali Zeadally, Lizhe Wang, Samee Ullah Khan, 2013, Secur. Commun. Networks.

Artificial Neural Network support to monitoring of the evolutionary driven security aware scheduling in computational distributed environments

S. Khan, J. Tao, J. Kolodziej, 2014 .

Parallel Processing of Massive EEG Data with MapReduce

Rajiv Ranjan, Lizhe Wang, Jun Wang, 2012, 2012 IEEE 18th International Conference on Parallel and Distributed Systems.

Trusted Performance Analysis on Systems With a Shared Memory

Rajiv Ranjan, Lizhe Wang, Jie Tao, 2017, IEEE Systems Journal.

Hierarchical Evolutionary Search Method of Solving Non-cooperative Games Models of Selected Decision-Making Problems For Water Resource Management

J. Kolodziej, J. Kolodziej, 2007 .

Algorithms and Architectures for Parallel Processing

Rocco Aversa, Jun Zhang, Flora Amato, 2013, Lecture Notes in Computer Science.