What is he best known for?
The fields of study he is best known for:
- Operating system
- The Internet
- Artificial intelligence
His primary areas of investigation include Cloud computing, Distributed computing, Computer security, Artificial intelligence and Data mining.
His studies in Cloud computing integrate themes in fields like Scalability, Efficient energy use and Data science.
The study incorporates disciplines such as Grid computing, Scheduling, Provisioning and Data center in addition to Distributed computing.
The Provisioning study combines topics in areas such as Workload and Quality of service.
His work in Data center addresses subjects such as CloudSim, which are connected to disciplines such as Software.
In the subject of general Computer security, his work in Security service is often linked to Electronic mail, thereby combining diverse domains of study.
His most cited work include:
- Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing (1892 citations)
- Energy-efficient management of data center resources for cloud computing : a vision, architectural elements, and open challenges (257 citations)
- Energy-Efficient Management of Data Center Resources for Cloud Computing: A Vision, Architectural Elements, and Open Challenges (225 citations)
What are the main themes of his work throughout his whole career to date?
Jemal H. Abawajy mostly deals with Distributed computing, Computer security, Artificial intelligence, Computer network and Cloud computing.
His Distributed computing study combines topics from a wide range of disciplines, such as Quality of service, Telecommunications network, Grid computing and Scheduling, Fair-share scheduling.
His Scheduling research is multidisciplinary, incorporating perspectives in Workload and Resource allocation.
The Computer security study combines topics in areas such as Cloud computing security and Internet privacy.
Jemal H. Abawajy interconnects Machine learning, Data mining and Pattern recognition in the investigation of issues within Artificial intelligence.
His study in Cloud computing is interdisciplinary in nature, drawing from both Energy consumption, Provisioning, Efficient energy use and Data science.
He most often published in these fields:
- Distributed computing (27.36%)
- Computer security (21.31%)
- Artificial intelligence (12.35%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (12.35%)
- Cloud computing (10.65%)
- Distributed computing (27.36%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Artificial intelligence, Cloud computing, Distributed computing, Computer security and Scheduling.
His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Malware.
His study of Virtualization is a part of Cloud computing.
His Distributed computing study combines topics from a wide range of disciplines, such as Baseline, Quality of service, Server, Efficient energy use and Big data.
The concepts of his Quality of service study are interwoven with issues in Workload and Directed acyclic graph.
His research investigates the link between Scheduling and topics such as Fog computing that cross with problems in Fault tolerance.
Between 2017 and 2021, his most popular works were:
- Adaptive Computing-Plus-Communication Optimization Framework for Multimedia Processing in Cloud Systems (44 citations)
- Malware Threats and Detection for Industrial Mobile-IoT Networks (31 citations)
- Workflow scheduling in distributed systems under fuzzy environment (28 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- The Internet
- Artificial intelligence
Jemal H. Abawajy mainly investigates Cloud computing, Computer security, Malware, Energy consumption and Data mining.
His work deals with themes such as Quality of service and Distributed computing, which intersect with Cloud computing.
As a part of the same scientific family, Jemal H. Abawajy mostly works in the field of Quality of service, focusing on Workload and, on occasion, Scheduling.
His Computer security research incorporates themes from Electronic trading, Protocol and One-to-many.
His studies deal with areas such as Energy management, Server, Algorithm, Provisioning and Efficient energy use as well as Energy consumption.
Jemal H. Abawajy combines subjects such as Software development, Machine learning, Cluster analysis, Artificial intelligence and Filter with his study of Data mining.
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