A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems
Federated Learning over Wireless Networks: Optimization Model Design and Analysis
- Nguyen H. Tran, Wei Bao, Albert Y. Zomaya, Minh N. H. Nguyen, C. Hong
- Computer ScienceIEEE Conference on Computer Communications
- 1 April 2019
This work formulates a Federated Learning over wireless network as an optimization problem FEDL that captures both trade-offs and obtains the globally optimal solution by charactering the closed-form solutions to all sub-problems, which give qualitative insights to problem design via the obtained optimal FEDl learning time, accuracy level, and UE energy cost.
A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis
- A. Fahad, Najlaa Alshatri, Abdelaziz Bouras
- Computer ScienceIEEE Transactions on Emerging Topics in Computing
- 12 June 2014
Concepts and algorithms related to clustering, a concise survey of existing (clustering) algorithms as well as a comparison, both from a theoretical and an empirical perspective are introduced.
Energy Conscious Scheduling for Distributed Computing Systems under Different Operating Conditions
- Young Choon Lee, Albert Y. Zomaya
- Computer ScienceIEEE Transactions on Parallel and Distributed…
- 1 August 2011
This work addresses the problem of scheduling precedence-constrained parallel applications on multiprocessor computer systems and presents two energy-conscious scheduling algorithms using dynamic voltage scaling (DVS) and a novel objective function and a variant from that.
Energy efficient utilization of resources in cloud computing systems
Two energy-conscious task consolidation heuristics are presented, which aim to maximize resource utilization and explicitly take into account both active and idle energy consumption and demonstrate their promising energy-saving capability.
Observations on Using Genetic Algorithms for Dynamic Load-Balancing
- Albert Y. Zomaya, Yee-Hwei Teh
- Computer ScienceIEEE Trans. Parallel Distributed Syst.
- 1 September 2001
This work investigates how a genetic algorithm can be employed to solve the dynamic load-balancing problem whereby optimal or near-optimal task allocations can "evolve" during the operation of the parallel computing system.
Genetic Scheduling for Parallel Processor Systems: Comparative Studies and Performance Issues
- Albert Y. Zomaya, C. Ward, B. Macey
- Business, Computer ScienceIEEE Trans. Parallel Distributed Syst.
- 1 August 1999
This paper investigates an alternative paradigm, based on genetic algorithms, to efficiently solve the scheduling problem without the need to apply any restricted assumptions that are problem-specific, such is the case when using heuristics.
An overview of Channel Assignment methods for multi-radio multi-channel wireless mesh networks
The local information dynamics of distributed computation in complex systems
The nature of distributed computation has long been a topic of interest in complex systems science, physics, artificial life and bioinformatics and has been postulated to be associated with the capability to support universal computation.
Minimizing Energy Consumption for Precedence-Constrained Applications Using Dynamic Voltage Scaling
- Young Choon Lee, Albert Y. Zomaya
- Computer Science9th IEEE/ACM International Symposium on Cluster…
- 18 May 2009
This paper addresses the problem of scheduling precedence-constrained parallel applications on high-performance computing systems—specifically with heterogeneous resources—accounting for both application completion time and energy consumption by adopting dynamic voltage scaling (DVS) to minimize energy consumption.