Mutaz Barika

According to our database, Mutaz Barika authored at least 10 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Scheduling Algorithms for Efficient Execution of Stream Workflow Applications in Multicloud Environments.

Mutaz Barika, Saurabh Kumar Garg, Andrew Chan, Rodrigo N. Calheiros

IEEE Trans. Serv. Comput., 2022

A taxonomy study on securing Blockchain-based Industrial applications: An overview, application perspectives, requirements, attacks, countermeasures, and open issues.

Khizar Hameed, Mutaz Barika, Saurabh Garg, Muhammad Bilal Amin, Byeong Kang

J. Ind. Inf. Integr., 2022

2021

Online Scheduling Technique To Handle Data Velocity Changes in Stream Workflows.

Mutaz Barika, Saurabh Garg, Albert Y. Zomaya, Rajiv Ranjan

IEEE Trans. Parallel Distributed Syst., 2021

Detection of SLA Violation for Big Data Analytics Applications in Cloud.

Xuezhi Zeng, Saurabh Garg, Mutaz Barika, Sanat Kumar Bista, Deepak Puthal, Albert Y. Zomaya, Rajiv Ranjan

IEEE Trans. Computers, 2021

SLA Management for Big Data Analytical Applications in Clouds: A Taxonomy Study.

Xuezhi Zeng, Saurabh Kumar Garg, Mutaz Barika, Albert Y. Zomaya, Lizhe Wang, Massimo Villari, Dan Chen, Rajiv Ranjan

ACM Comput. Surv., 2021

2020

IoTSim-SDWAN: A simulation framework for interconnecting distributed datacenters over Software-Defined Wide Area Network (SD-WAN).

Khaled Alwasel, Devki Nandan Jha, Eduardo Hernández, Deepak Puthal, Mutaz Barika, Blesson Varghese, Saurabh Kumar Garg, Philip James, Albert Y. Zomaya, Graham Morgan, Rajiv Ranjan

J. Parallel Distributed Comput., 2020

Cost effective stream workflow scheduling to handle application structural changes.

Mutaz Barika, Saurabh Garg, Rajiv Ranjan

Future Gener. Comput. Syst., 2020

2019

IoTSim-Stream: Modelling stream graph application in cloud simulation.

Mutaz Barika, Saurabh Kumar Garg, Andrew Chan, Rodrigo N. Calheiros, Rajiv Ranjan

Future Gener. Comput. Syst., 2019

Orchestrating Big Data Analysis Workflows in the Cloud: Research Challenges, Survey, and Future Directions.

Mutaz Barika, Saurabh Kumar Garg, Albert Y. Zomaya, Lizhe Wang, Aad van Moorsel, Rajiv Ranjan

ACM Comput. Surv., 2019

Adaptive Scheduling for Efficient Execution of Dynamic Stream Workflows.

Mutaz Barika, Saurabh Garg, Rajiv Ranjan

CoRR, 2019