What is he best known for?
The fields of study he is best known for:
- Operating system
- Artificial intelligence
- Computer network
His primary areas of investigation include Distributed computing, Cloud computing, Scheduling, Computer network and Resource allocation.
The Distributed computing study combines topics in areas such as Grid computing, Genetic algorithm, Quality of service and Job shop scheduling.
His Cloud computing research is multidisciplinary, relying on both Data center, Virtual machine and Server.
His biological study spans a wide range of topics, including Schedule and Heuristics.
His studies deal with areas such as Computer security and Key distribution in wireless sensor networks as well as Computer network.
His study explores the link between Utility computing and topics such as Real-time computing that cross with problems in Systems engineering.
His most cited work include:
- A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems (577 citations)
- A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems (577 citations)
- A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis (537 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Distributed computing, Cloud computing, Computer network, Scheduling and Artificial intelligence.
His work deals with themes such as Resource allocation, Quality of service, Dynamic priority scheduling, Fair-share scheduling and Server, which intersect with Distributed computing.
His research in Cloud computing intersects with topics in Virtual machine, Scalability and Big data.
He has researched Computer network in several fields, including Wireless network and Key distribution in wireless sensor networks.
His Scheduling research is multidisciplinary, incorporating perspectives in Grid computing, Schedule, Workflow and Parallel computing.
Albert Y. Zomaya has included themes like Machine learning and Pattern recognition in his Artificial intelligence study.
He most often published in these fields:
- Distributed computing (34.82%)
- Cloud computing (19.07%)
- Computer network (16.22%)
What were the highlights of his more recent work (between 2017-2021)?
- Distributed computing (34.82%)
- Cloud computing (19.07%)
- Computer network (16.22%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Distributed computing, Cloud computing, Computer network, Edge computing and Server.
His work carried out in the field of Distributed computing brings together such families of science as Quality of service, Scheduling, Optimization problem and Resource allocation.
His Quality of service study combines topics in areas such as Workload and Provisioning.
Albert Y. Zomaya interconnects Virtual machine, Scalability, Enhanced Data Rates for GSM Evolution and Big data in the investigation of issues within Cloud computing.
His Big data study combines topics from a wide range of disciplines, such as Workflow and Data science.
His Edge computing research includes themes of Wireless, The Internet, Edge device and Reinforcement learning.
Between 2017 and 2021, his most popular works were:
- Federated Learning over Wireless Networks: Optimization Model Design and Analysis (182 citations)
- Secure and Sustainable Load Balancing of Edge Data Centers in Fog Computing (105 citations)
- Blockchain for smart communities: Applications, challenges and opportunities (82 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Computer network
Cloud computing, Distributed computing, Computer network, Edge computing and Artificial intelligence are his primary areas of study.
The various areas that Albert Y. Zomaya examines in his Cloud computing study include Virtual machine, Scalability, Workload, Enhanced Data Rates for GSM Evolution and Big data.
His Distributed computing research incorporates themes from Resource allocation, Quality of service, Wireless network, Optimization problem and Server.
His work on Network congestion, Node and Telecommunications link as part of general Computer network study is frequently linked to Resource management, bridging the gap between disciplines.
The concepts of his Artificial intelligence study are interwoven with issues in Machine learning and Computer vision.
His research in Virtualization focuses on subjects like Data center, which are connected to Real-time computing.
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