Ligang He
Ligang He
Reader of Computer Science, University of Warwick, United Kingdom
Verified email at - Homepage
Cited by
Cited by
A hybrid chemical reaction optimization scheme for task scheduling on heterogeneous computing systems
Y Xu, K Li, L He, L Zhang, K Li
IEEE Transactions on parallel and distributed systems 26 (12), 3208-3222, 2015
A DAG scheduling scheme on heterogeneous computing systems using double molecular structure-based chemical reaction optimization
Y Xu, K Li, L He, TK Truong
Journal of Parallel and Distributed Computing 73 (9), 1306-1322, 2013
Graph processing on GPUs: A survey
X Shi, Z Zheng, Y Zhou, H Jin, L He, B Liu, QS Hua
ACM Computing Surveys (CSUR) 50 (6), 1-35, 2018
Performance-aware workflow management for Grid computing
DP Spooner, J Cao, SA Jarvis, L He, GR Nudd
The Computer Journal 48 (3), 347-357, 2005
Dynamic scheduling of parallel jobs with QoS demands in multiclusters and grids
L He, SA Jarvis, DP Spooner, X Chen, GR Nudd
Fifth IEEE/ACM International Workshop on Grid Computing, 402-409, 2004
Allocating non-real-time and soft real-time jobs in multiclusters
L He, SA Jarvis, DP Spooner, H Jiang, DN Dillenberger, GR Nudd
IEEE transactions on Parallel and Distributed Systems 17 (2), 99-112, 2006
Developing resource consolidation frameworks for moldable virtual machines in clouds
L He, D Zou, Z Zhang, C Chen, H Jin, SA Jarvis
Future Generation Computer Systems 32, 69-81, 2014
Robot cloud: Bridging the power of robotics and cloud computing
Z Du, L He, Y Chen, Y Xiao, P Gao, T Wang
Future Generation Computer Systems 74, 337-348, 2017
Multi-resource scheduling and power simulation for cloud computing
W Lin, S Xu, L He, J Li
Information Sciences 397, 168-186, 2017
Energy-aware data allocation and task scheduling on heterogeneous multiprocessor systems with time constraints
Y Wang, K Li, H Chen, L He, K Li
IEEE transactions on emerging topics in computing 2 (2), 134-148, 2014
From mobiles to clouds: Developing energy-aware offloading strategies for workflows
B Gao, L He, L Liu, K Li, SA Jarvis
2012 ACM/IEEE 13th International Conference on Grid Computing, 139-146, 2012
Mapping DAG-based applications to multiclusters with background workload
L He, SA Jarvis, DP Spooner, D Bacigalupo, G Tan, GR Nudd
Cluster Computing and the Grid, 2005. CCGrid 2005. IEEE International …, 2005
Mammoth: Gearing Hadoop towards memory-intensive MapReduce applications
X Shi, M Chen, L He, X Xie, L Lu, H Jin, Y Chen, S Wu
IEEE Transactions on Parallel and Distributed Systems 26 (8), 2300-2315, 2014
Optimising static workload allocation in multiclusters
L He, SA Jarvis, DP Spooner, GR Nudd
18th International Parallel and Distributed Processing Symposium, 2004 …, 2004
Dynamic scheduling of parallel real-time jobs by modelling spare capabilities in heterogeneous clusters
L He, SA Jarvis, DP Spooner, GR Nudd
2003 Proceedings IEEE International Conference on Cluster Computing, 2-10, 2003
Managing dynamic enterprise and urgent workloads on clouds using layered queuing and historical performance models
DA Bacigalupo, J Van Hemert, X Chen, A Usmani, AP Chester, L He, ...
Simulation Modelling Practice and Theory 19 (6), 1479-1495, 2011
Energy-efficient hadoop for big data analytics and computing: A systematic review and research insights
WT Wu, WW Lin, CH Hsu, LG He
Future Generation Computer Systems 86, 1351-1367, 2018
SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead
W Wu, L He, W Lin, S Jarvis
arXiv preprint arXiv:1910.01355, 2019
Parallel file system analysis through application I/O tracing
SA Wright, SD Hammond, SJ Pennycook, RF Bird, JA Herdman, I Miller, ...
The Computer Journal 56 (2), 141-155, 2013
An investigation into the application of different performance prediction methods to distributed enterprise applications
DA Bacigalupo, SA Jarvis, L He, DP Spooner, DN Dillenberger, GR Nudd
The Journal of Supercomputing 34 (2), 93-111, 2005
The system can't perform the operation now. Try again later.
Articles 1–20