Deutschenglish

Abdulrahman Nahhas

 Abdulrahman Nahhas
Tätigkeitsbezeichnung:
Wissenschaftler, Koordination
Organisation:
AGWI, VLBA Lab
Telefon:
0391 67-54833
Büro:
Gebäude 58, Raum 639

Neuigkeiten

A Hybrid Job Scheduling approach in cloud computing environments on the usage of heuristics and meta-heuristics methods

Open Enterprise Cloud Initiative: OvGU, Google Cloud and Accenture

Open Enterprise Cloud Initiative: OvGU, Google Cloud and Accenture

A hybrid framework for solving multi-objective scheduling problems

A hybrid framework for solving multi-objective scheduling problems

An adaptive scheduling framework for the dynamic virtual machines placement to reduce energy consumption in cloud data centers

An adaptive scheduling framework for the dynamic virtual machines placement to reduce energy consumption in cloud data centers

Toward Adaptive Manufacturing: Scheduling problems in the Context of Industry 4.0.

Toward Adaptive Manufacturing: Scheduling problems in the Context of Industry 4.0.

MRCC auf der 15th International Conference on Signal Image Technology & Internet based Systems

MRCC auf der 15th International Conference on Signal Image Technology & Internet based Systems

Wissenschaftliche Artikel

2021
Cheyyanda, J. T.; Nahhas, A.; Turowski, K.
An adaptive scheduling framework for the dynamic virtual machines placement to reduce energy consumption in cloud data centers
In: Hawaii International Conference on System Sciences 2021; 2021;
Haertel, C.; Pohl, M.; Bosse, S.; Häusler, R.; Nahhas, A.; Staegemann, D. G.; Volk, M.; Turowski, K.
Methodological Case Study Approach for Detecting Business Model Enablers in Copycat Ventures
In: International Journal of Organizational and Collective Intelligence 11(4); 35-54; 2021;
Kharitonov, A.; Nahhas, A.; Pohl, M.; Turowski, K.
Comparative analysis of machine learning models for anomaly detection in manufacturing
1288-1297; 2021;
Lang, S.; Müller, M.; Reggelin, T.; Nahhas, A.
Open-source discrete-event simulation software for applications in production and logistics: An alternative to commercial tools?
In: Procedia Computer Science; 978-987; 2021;
Müller, H.; Kharitonov, A.; Nahhas, A.; Bosse, S.; Turowski, K.
Addressing IT Capacity Management Concerns Using Machine Learning Techniques
In: SN Computer Science 3; 2021;
Nahhas, A.; Kharitonov, A.; Alwadi, A.; Turowski, K.
Hybrid Approach for Solving Multi-Objective Hybrid Flow Shop Sheduling Problems with Family Setup Times
In: Procedia Computer Science; 1685-1694; 2021;
Nahhas, A.; Krist, M.; Turowski, K.
An adaptive scheduling framework for solving multi-objective hybrid flow shop scheduling problems
2021;
Nahhas, A.; Krist, M.; Turowski, K.
An adaptive scheduling framework for solving multi-objective hybrid flow shop scheduling problems
In: Proceedings HICSS; 2021;
Nahhas, A.; Krist, M.; Turowski, K.
An adaptive scheduling framework for solving multi-objective hybrid flow shop scheduling problems
In: Proceedings HICSS; 2021;
Staegemann, D. G.; Volk, M.; Pohl, M.; Häusler, R.; Nahhas, A.; Abdallah, M.; Turowski, K.
A Preliminary Overwiew of the Situation in Big Data Testing
In: 6th International Conference on Internet of Things, Big Data and Security-IoTBDS; 296-302; 2021;
Staegemann, D. G.; Volk, M.; Saxena, A.; Pohl, M.; Nahhas, A.; Häusler, R.; Abdallah, M.; Bosse, S.; Jamous, N.; Turowski, K.
Challenges in Data Acquisition and Management in Big Data Environments
In: 6th International Conference on Internet of Things, Big Data and Security-IoTBDS; 193-204; 2021;
2020
Bosse, S.; Nahhas, A.; Turowski, K.
Quantitative Analysis of the Effects of Different Carbon Tax Levels on Emissions and Costs of Data Centers.
In: WI2020 Zentrale Tracks; 1349-1363; 2020;
Daase, C.; Staegemann, D. G.; Volk, M.; Nahhas, A.; Turowski, K.
Automation of Customer Initiated Back Office Processes: A Design Science Research Approach to link Robotic Process Automation and Chatbots
In: ACIS 2020 Proceedings 15; 2020;
Haertel, C.; Pohl, M.; Bosse, S.; Nahhas, A.; Staegemann, D. G.; Volk, M.; Turowski, K.
Comparative Study of e-Commerce Ventures: Copycat Enablers in Business Models
In: Proceedings of the 2nd International Conference on Finance, Economics, Management and IT Business - Volume 1: FEMIB,; 80-90; 2020;
Staegemann, D. G.; Volk, M.; Bosse, S.; Häusler, R.; Nahhas, A.; Turowski, K.
Determining Potential Failures and Challenges in Data Driven Endeavors: A Real World Case Study Analysis
In: Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS; 453-460; 2020;
Volk, M.; Staegemann, D. G.; Nahhas, A.; Bosse, S.
Towards a Decision Support System for Big Data Projects
In: WI2020; 2020;
2019
Alwadi, A.; Nahhas, A.; Bosse, S.; Jamous, N.; Turowski, K.
A Modernized Model for PerformanceRequirements and their Interdependencies
In: AICCSA (Hrsg.): 16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019; Abu Dhabi, UAE; IEEE; AICCSA; Abu Dhabi, UAE, IEEE; 2019;
Bosse, S.; Nahhas, A.; Pohl, M.; Turowski, K.
Towards an Automated Optimization-as-a-Service Concept
In: Proceedings of the 4th International Conference on Internet of Things, Big Data and Security; 339-343; 2019;
Nahhas, A.; Bosse, S.; Pohl, M.; Turowski, K.
Toward an autonomic and adaptive load management strategy for reducing energy consumption under performance constraints in data centers
In: 9th International Conference on Cloud Computing and Services Science, CLOSER 2019; 471-478; SciTePress; Crete, Greece; 2019;
Nahhas, A.; Bosse, S.; Staegemann, D. G.; Volk, M.; Turowski, K.
A holistic view of the server consolidation and virtual machines placement problems
In: 15th International Conference on Signal Image Technology & Internet based Systems, SITIS 2019; Sorrento, Italy; 2019;
Pohl, M.; Nahhas, A.; Bosse, S.; Turowski, K.
Proof of Provision: Improving Blockchain Technology by Cloud Computing
In: Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER; SciTePress; 2019;
Staegemann, D. G.; Volk, M.; Nahhas, A.; Abdallah, M.; Turowski, K.
Exploring the Specificities and Challenges of Testing Big Data Systems
In: 15th International Conference on Signal Image Technology & Internet based Systems; 2019;
2018
Alwadi, A.; Nahhas, A.; Bosse, S.; Jamous, N.; Turowski, K.
Toward a Performance Requirements Model for the Early Design Phase of IT Systems
In: Proceedings of the Sixth International Conference on Enterprise Systems; 9-16; Limassol, Cyprus; 2018;
Nahhas, A.; Lang, S.; Bosse, S.; Turowski, K.
Toward Adaptive Manufacturing: Scheduling Problems in the Context of Industry 4.0
In: Proceedings of the Sixth International Conference on Enterprise Systems; 108-115; Limassol, Cyprus; 2018;
Strubelt, H.; Trojahn, S.; Lang, S.; Nahhas, A.
Scheduling Approach for the Simulation of a Sustainable Resource Supply Chain
In: Logistics; 2(3); 2018;
Nahhas, A.; Bosse, S.; Turowski, K.
Load Distribution Strategies for a Sustainable IT Resources Management
In: Multikonferenz Wirtschaftsinformatik (MKWI); 2018;
2017
Aurich, P.; Nahhas, A.; Reggelin, T.; Krist, M.
Simulation based optimization of a four stage hybrid flow shop with sequence-dependent setup times and availability constraints
In: The 16th International Conference on Modeling and applied Simulation; Barcelona; 2017;
Nahhas, A.; Aurich, P.; Bosse, S.; Reggelin, T.; Turowski, K.
Metaheuristic and Hybrid Simulation-Based Optimization for Solving Scheduling Problems with Major and Minor Setup Times
In: The 16th International Conference on Modeling and applied Simulation; Barcelona; 2017;
Nahhas, A.; Alwadi, A.; Reggelin, T.
Simulation and the Emergency Department Overcrowding Problem
368-376; Procedia Engineering; 2017;