Li Zhang spends much of his time researching Distributed computing, Server, Computer network, Scheduling and Virtual machine. His Distributed computing research is multidisciplinary, relying on both Scalability, Workload, Hill climbing, Fixed-priority pre-emptive scheduling and Cloud computing. His Server study combines topics in areas such as Service provider, Real-time computing, Kernel virtual address space and Data diffusion machine.
His Computer network research is multidisciplinary, incorporating perspectives in The Internet, Service and Autonomic computing. His studies deal with areas such as Mathematical optimization, Queue, Locality and Resource allocation as well as Scheduling. His Virtual machine study integrates concerns from other disciplines, such as Resource, Multiplexing, Provisioning and Virtualization.
Li Zhang mainly focuses on Distributed computing, Server, Computer network, Real-time computing and Workload. His Distributed computing research incorporates themes from Scalability, Resource allocation, Parallel computing, Scheduling and Cloud computing. His research integrates issues of Queue, Locality and Queueing theory in his study of Scheduling.
The Cloud computing study combines topics in areas such as Provisioning and Service. His study on Server is mostly dedicated to connecting different topics, such as Virtual machine. His Computer network study incorporates themes from Service provider and The Internet.
Li Zhang mostly deals with Artificial intelligence, Deep learning, Lithium, Electrolyte and Artificial neural network. His Artificial intelligence study combines topics in areas such as Machine learning, Bandwidth and Server. Li Zhang performs integrative Server and Training system research in his work.
His research in Deep learning tackles topics such as Cloud computing which are related to areas like Provisioning, Service, Workload and Distributed computing. Li Zhang has included themes like Metadata, Aggregate, Memory management, File server and Cost reduction in his Distributed computing study. His studies deal with areas such as Controller, Layer, Computer network and Visualization as well as Artificial neural network.
His main research concerns Artificial intelligence, Deep learning, Distributed computing, Cloud computing and Workload. His Deep learning research includes elements of Artificial neural network, Bandwidth and Server. His Server research incorporates themes from Embedded system and Computer engineering.
His work in Distributed computing addresses issues such as Scalability, which are connected to fields such as Data analysis, Benchmark and Resource. His Cloud computing research includes themes of Benchmarking, Provisioning and Service. His Workload study integrates concerns from other disciplines, such as Kalman filter, Profiling, Elasticity, User space and Robustness.
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.
ArnetMiner: extraction and mining of academic social networks
Jie Tang;Jing Zhang;Limin Yao;Juanzi Li.
knowledge discovery and data mining (2008)
Improving the Scalability of Data Center Networks with Traffic-aware Virtual Machine Placement
Xiaoqiao Meng;Vasileios Pappas;Li Zhang.
international conference on computer communications (2010)
Efficient resource provisioning in compute clouds via VM multiplexing
Xiaoqiao Meng;Canturk Isci;Jeffrey Kephart;Li Zhang.
international conference on autonomic computing (2010)
Consolidating virtual machines with dynamic bandwidth demand in data centers
Meng Wang;Xiaoqiao Meng;Li Zhang.
international conference on computer communications (2011)
Understanding retweeting behaviors in social networks
Zi Yang;Jingyi Guo;Keke Cai;Jie Tang.
conference on information and knowledge management (2010)
Placement of virtual machines based on server cost and network cost
Douglas M. Freimuth;Xiaoqiao Meng;Vasileios Pappas;Li Zhang.
MapTask scheduling in mapreduce with data locality: throughput and heavy-traffic optimality
Weina Wang;Kai Zhu;Lei Ying;Jian Tan.
IEEE ACM Transactions on Networking (2016)
Energy-Aware Autonomic Resource Allocation in Multitier Virtualized Environments
D. Ardagna;B. Panicucci;M. Trubian;Li Zhang.
IEEE Transactions on Services Computing (2012)
Clock synchronization algorithms for network measurements
Li Zhang;Zhen Liu;C. Honghui Xia.
international conference on computer communications (2002)
Map task scheduling in MapReduce with data locality: Throughput and heavy-traffic optimality
Weina Wang;Kai Zhu;Lei Ying;Jian Tan.
international conference on computer communications (2013)
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