2020 - ACM Distinguished Member
2020 - IEEE Fellow For contributions to high performance and resilient distributed computing
2012 - ACM Senior Member
Song Guo focuses on Distributed computing, Computer network, Cloud computing, Big data and Computer security. The study incorporates disciplines such as Edge device, Scheduling, Server and Approximation algorithm in addition to Distributed computing. His Computer network study incorporates themes from Wireless, Wireless network and Mobile telephony.
His biological study spans a wide range of topics, including Virtual machine, Scalability, Quality of service, Real-time computing and Mobile device. His work carried out in the field of Big data brings together such families of science as Database, Distributed database, Relevance and Data science. The various areas that Song Guo examines in his Computer security study include The Internet, Internet privacy and Social network.
His primary areas of investigation include Computer network, Distributed computing, Cloud computing, Wireless and Multicast. The concepts of his Computer network study are interwoven with issues in Wireless network and Throughput. His biological study deals with issues like Wireless ad hoc network, which deal with fields such as Mobile ad hoc network.
His work is dedicated to discovering how Cloud computing, Big data are connected with Data science and other disciplines. His study in Multicast is interdisciplinary in nature, drawing from both Distributed algorithm and Directional antenna. His biological study spans a wide range of topics, including Sensor node, Key distribution in wireless sensor networks and Real-time computing.
His primary areas of study are Distributed computing, Computer network, Cloud computing, Reinforcement learning and Enhanced Data Rates for GSM Evolution. His Distributed computing study integrates concerns from other disciplines, such as Overhead, Energy consumption, Scheduling, Optimization problem and Server. His study on Quality of service is often connected to Service provider as part of broader study in Computer network.
In his study, which falls under the umbrella issue of Cloud computing, Function and Computer security is strongly linked to Service. He has researched Reinforcement learning in several fields, including Intelligent transportation system, Control, Heuristic, Load balancing and Big data. Song Guo combines subjects such as Wireless network, Quality of experience and Resource allocation with his study of Enhanced Data Rates for GSM Evolution.
His main research concerns Distributed computing, Scheduling, Reinforcement learning, Cloud computing and Enhanced Data Rates for GSM Evolution. His research in Distributed computing intersects with topics in Server, Encryption, Markov chain and Big data. The study incorporates disciplines such as Energy consumption, Optimization problem, Task analysis and Approximation algorithm in addition to Scheduling.
His studies deal with areas such as Data acquisition, Orchestration, Key and Resource allocation as well as Cloud computing. The various areas that he examines in his Enhanced Data Rates for GSM Evolution study include Wireless network, Computer network, Data transmission and Filter. His research integrates issues of Artificial neural network and Cryptography in his study of Computer network.
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Joint Optimization of Task Scheduling and Image Placement in Fog Computing Supported Software-Defined Embedded System
Deze Zeng;Lin Gu;Song Guo;Zixue Cheng.
IEEE Transactions on Computers (2016)
Green Industrial Internet of Things Architecture: An Energy-Efficient Perspective
Kun Wang;Yihui Wang;Yanfei Sun;Song Guo.
IEEE Communications Magazine (2016)
Cost Efficient Resource Management in Fog Computing Supported Medical Cyber-Physical System
Lin Gu;Deze Zeng;Song Guo;Ahmed Barnawi.
IEEE Transactions on Emerging Topics in Computing (2017)
Discriminating DDoS Attacks from Flash Crowds Using Flow Correlation Coefficient
Shui Yu;Wanlei Zhou;Weijia Jia;Song Guo.
IEEE Transactions on Parallel and Distributed Systems (2012)
SAMR: A Self-adaptive MapReduce Scheduling Algorithm in Heterogeneous Environment
Quan Chen;Daqiang Zhang;Minyi Guo;Qianni Deng.
computer and information technology (2010)
A Survey on Energy Internet: Architecture, Approach, and Emerging Technologies
Kun Wang;Jun Yu;Yan Yu;Yirou Qian.
IEEE Systems Journal (2018)
Information and Communications Technologies for Sustainable Development Goals: State-of-the-Art, Needs and Perspectives
Jinsong Wu;Song Guo;Huawei Huang;William Liu.
IEEE Communications Surveys and Tutorials (2018)
Big Data Meet Green Challenges: Big Data Toward Green Applications
Jinsong Wu;Song Guo;Jie Li;Deze Zeng.
IEEE Systems Journal (2016)
Can We Beat DDoS Attacks in Clouds
Shui Yu;Yonghong Tian;Song Guo;Dapeng Oliver Wu.
IEEE Transactions on Parallel and Distributed Systems (2014)
CodePipe: An opportunistic feeding and routing protocol for reliable multicast with pipelined network coding
Peng Li;Song Guo;Shui Yu;Athanasios V. Vasilakos.
international conference on computer communications (2012)
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