H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 30 Citations 3,834 116 World Ranking 8805 National Ranking 17

Overview

What is she best known for?

The fields of study she is best known for:

  • Operating system
  • Computer network
  • Artificial intelligence

Joanna Kolodziej mainly investigates Distributed computing, Scheduling, Job shop scheduling, Fair-share scheduling and Dynamic priority scheduling. Her biological study spans a wide range of topics, including Transport Layer Security, Cloud computing and Computer security model. Joanna Kolodziej has researched Cloud computing in several fields, including Data mining, Interoperability, Information and Communications Technology, Web application and Server.

Her Scheduling research focuses on Resource allocation and how it relates to HPC Challenge Benchmark, Supercomputer and Software. She has included themes like Job scheduler and Genetic algorithm in her Job shop scheduling study. Her Fair-share scheduling research is multidisciplinary, incorporating elements of Batch processing, Heuristics and Flow shop scheduling.

Her most cited work include:

  • A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems (209 citations)
  • Parallel Problem Solving from Nature - PPSN XI (171 citations)
  • An overview of energy efficiency techniques in cluster computing systems (166 citations)

What are the main themes of her work throughout her whole career to date?

Joanna Kolodziej spends much of her time researching Distributed computing, Scheduling, Cloud computing, Job shop scheduling and Grid computing. Her Distributed computing research includes elements of Scalability, Resource allocation, Dynamic priority scheduling, Fair-share scheduling and Data grid. The Scheduling study combines topics in areas such as Artificial neural network, Genetic algorithm, Computational model and Data access.

Her Cloud computing research is multidisciplinary, relying on both Virtual machine, Provisioning, Server and Big data. Her Job shop scheduling study deals with Job scheduler intersecting with Dynamic voltage scaling. Joanna Kolodziej frequently studies issues relating to Administrative domain and Grid computing.

She most often published in these fields:

  • Distributed computing (38.62%)
  • Scheduling (29.66%)
  • Cloud computing (21.38%)

What were the highlights of her more recent work (between 2017-2020)?

  • Cloud computing (21.38%)
  • Scheduling (29.66%)
  • Distributed computing (38.62%)

In recent papers she was focusing on the following fields of study:

Joanna Kolodziej focuses on Cloud computing, Scheduling, Distributed computing, Artificial intelligence and Stackelberg competition. In the field of Cloud computing, her study on Cloud computing security overlaps with subjects such as Models of communication. Her work carried out in the field of Cloud computing security brings together such families of science as Computer security, Scalability, Resource allocation and Idle.

Joanna Kolodziej studies Job shop scheduling, a branch of Scheduling. The various areas that Joanna Kolodziej examines in her Distributed computing study include Big data and Cloud resources. As part of the same scientific family, she usually focuses on Artificial intelligence, concentrating on Machine learning and intersecting with Parallel computing, Mobile cloud computing and Metaheuristic.

Between 2017 and 2020, her most popular works were:

  • SCORE: Simulator for cloud optimization of resources and energy consumption (26 citations)
  • GAME-SCORE: Game-based energy-aware cloud scheduler and simulator for computational clouds (17 citations)
  • Security supportive energy-aware scheduling and energy policies for cloud environments (17 citations)

In her most recent research, the most cited papers focused on:

  • Operating system
  • Computer network
  • Artificial intelligence

Her scientific interests lie mostly in Cloud computing, Scheduling, Stackelberg competition, Job shop scheduling and Simulation. Joanna Kolodziej is interested in Cloud computing security, which is a field of Cloud computing. Joanna Kolodziej interconnects Computer security, Resource allocation, Scalability and Idle in the investigation of issues within Cloud computing security.

Her Distributed computing research extends to the thematically linked field of Job shop scheduling. Her Distributed computing research is multidisciplinary, incorporating perspectives in Virtual machine, Personalization, Data access, Schedule and Blockchain. As part of her studies on Simulation, she often connects relevant subjects like Server.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

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

Abdul Hameed;Alireza Khoshkbarforoushha;Rajiv Ranjan;Prem Prakash Jayaraman.
Computing (2016)

283 Citations

An overview of energy efficiency techniques in cluster computing systems

Giorgio Luigi Valentini;Walter Lassonde;Samee Ullah Khan;Nasro Min-Allah.
Cluster Computing (2013)

257 Citations

Resource-aware hybrid scheduling algorithm in heterogeneous distributed computing

Mihaela-Andreea Vasile;Florin Pop;Radu-Ioan Tutueanu;Valentin Cristea.
Future Generation Computer Systems (2015)

205 Citations

Energy-aware parallel task scheduling in a cluster

Lizhe Wang;Lizhe Wang;Samee U. Khan;Dan Chen;Joanna KołOdziej.
Future Generation Computer Systems (2013)

198 Citations

Parallel Problem Solving from Nature - PPSN XI

Robert Schaefer;Carlos Cotta;Joanna Kołodziej;Günter Rudolph.
Lecture Notes in Computer Science (2010)

172 Citations

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

Jiaqi Zhao;Lizhe Wang;Jie Tao;Jinjun Chen.
Journal of Computer and System Sciences (2014)

163 Citations

A survey on resource allocation in high performance distributed computing systems

Hameed Hussain;Saif Ur Rehman Malik;Abdul Hameed;Samee Ullah Khan.
parallel computing (2013)

144 Citations

A survey on text mining in social networks

Rizwana Irfan;Christine K. King;Daniel Grages;Sam J. Ewen.
Knowledge Engineering Review (2015)

115 Citations

Survey on blind image forgery detection

Tanzeela Qazi;Khizar Hayat;Samee U. Khan;Sajjad A. Madani.
Iet Image Processing (2013)

106 Citations

Comparative study of trust and reputation systems for wireless sensor networks

Osman Khalid;Samee Ullah Khan;Sajjad Ahmad Madani;Khizar Hayat.
Security and Communication Networks (2013)

105 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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