2019 - Member of Academia Europaea
2014 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For outstanding contributions to the solution of scheduling problems in parallel and distributed computing systems
2006 - ACM Distinguished Member
2006 - Fellow of the American Association for the Advancement of Science (AAAS)
2004 - IEEE Fellow For contributions to the solution of scheduling problems in parallel computing systems.
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 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.
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.
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.
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.
A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems
Anton Beloglazov;Anton Beloglazov;Rajkumar Buyya;Rajkumar Buyya;Young Choon Lee;Young Choon Lee;Albert Y. Zomaya;Albert Y. Zomaya.
Advances in Computers (2011)
A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis
Adil Fahad;Najlaa Alshatri;Zahir Tari;Abdullah Alamri.
IEEE Transactions on Emerging Topics in Computing (2014)
Energy efficient utilization of resources in cloud computing systems
Young Choon Lee;Albert Y. Zomaya.
The Journal of Supercomputing (2012)
Observations on using genetic algorithms for dynamic load-balancing
A.Y. Zomaya;Yee-Hwei Teh.
IEEE Transactions on Parallel and Distributed Systems (2001)
A Review of Ensemble Methods in Bioinformatics
Pengyi Yang;Yee Hwa Yang;Bing B. Zhou;Albert Y. Zomaya.
Current Bioinformatics (2010)
Remote sensing big data computing
Yan Ma;Haiping Wu;Lizhe Wang;Bormin Huang.
Future Generation Computer Systems (2015)
A parallel bi-objective hybrid metaheuristic for energy-aware scheduling for cloud computing systems
M. Mezmaz;N. Melab;Y. Kessaci;Y. C. Lee.
Journal of Parallel and Distributed Computing (2011)
Parallel and Distributed Computing Handbook
Albert Y. H. Zomaya.
Energy Conscious Scheduling for Distributed Computing Systems under Different Operating Conditions
Young Choon Lee;A. Y. Zomaya.
IEEE Transactions on Parallel and Distributed Systems (2011)
A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems
Abdul Hameed;Alireza Khoshkbarforoushha;Rajiv Ranjan;Prem Prakash Jayaraman.
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.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: