I am accepting PhD student applications (including self-funded), please get in touch! I am also teaching at both undergraduate and postgradue levels in computer systems and networks.
2018
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Cui, Lin; Tso, Fung Po; Jia, Weijia Enforcing Network Policy in Heterogeneous Network Function Box Environment Journal Article Journal of Computer Networks, 2018. Links | BibTeX @article{cui2018enforcing,
title = {Enforcing Network Policy in Heterogeneous Network Function Box Environment},
author = {Lin Cui and Fung Po Tso and Weijia Jia},
url = {http://www.poscotso.com/wp-content/uploads/2018/04/cui2018enforcing.pdf},
doi = {10.1016/j.comnet.2018.03.029},
year = {2018},
date = {2018-03-29},
journal = {Journal of Computer Networks},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Genez, Thiago; Tso, Fung Po; Cui, Lin Latency-aware Joint Virtual Machine and Policy Consolidation for Mobile Edge Computing Conference 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC), 2018. Links | BibTeX @conference{Genez2018Latency,
title = {Latency-aware Joint Virtual Machine and Policy Consolidation for Mobile Edge Computing},
author = {Thiago Genez and Fung Po Tso and Lin Cui},
doi = {10.1109/CCNC.2018.8319204},
year = {2018},
date = {2018-01-08},
booktitle = {2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
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2017
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Zhang, Yuxiang; Cui, Lin; Tso, Fung Po; Guan, Quanlong; Jia, Weijia TCon: A Transparent Congestion Control Deployment Platform for Optimizing WAN Transfers Conference The 14th IFIP International Conference on Network and Parallel Computing (NPC 2017) , 2017. Links | BibTeX @conference{Zhang2017,
title = {TCon: A Transparent Congestion Control Deployment Platform for Optimizing WAN Transfers},
author = {Yuxiang Zhang and Lin Cui and Fung Po Tso and Quanlong Guan and Weijia Jia},
url = {http://www.poscotso.com/wp-content/uploads/2017/11/npc2017-zhang-tcon.pdf},
year = {2017},
date = {2017-10-18},
booktitle = {The 14th IFIP International Conference on Network and Parallel Computing (NPC 2017) },
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
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Zhang, Yuxiang; Cui, Lin; Tso, Fung Po; Zhang, Yuan Track: Tracerouting in SDN Networks with Arbitrary Network Functions Conference The 6th IEEE International Conference on Cloud Networking (IEEE CloudNet 2017), 2017. Links | BibTeX @conference{Zhang2017-cloudnet,
title = {Track: Tracerouting in SDN Networks with Arbitrary Network Functions},
author = {Yuxiang Zhang and Lin Cui and Fung Po Tso and Yuan Zhang},
url = {http://www.poscotso.com/wp-content/uploads/2017/11/cloudnet17-track-zhang.pdf},
year = {2017},
date = {2017-09-25},
booktitle = {The 6th IEEE International Conference on Cloud Networking (IEEE CloudNet 2017)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
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Hajji, Wajdi; Tso, Fung Po; Cui, Lin; Pezaros, Dimitrios P Experimental Evaluation of SDN-Controlled, Joint Consolidation of Policies and Virtual Machines Conference The 22 nd IEEE Symposium on Computers and Communications, 2017. Links | BibTeX @conference{Hajji2017,
title = {Experimental Evaluation of SDN-Controlled, Joint Consolidation of Policies and Virtual Machines},
author = {Wajdi Hajji and Fung Po Tso and Lin Cui and Dimitrios P Pezaros},
url = {http://www.poscotso.com/wp-content/uploads/2017/07/sync-iscc.pdf},
year = {2017},
date = {2017-07-03},
booktitle = {The 22 nd IEEE Symposium on Computers and Communications},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
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Cui, L; Tso, F; Jia, W Heterogeneous Network Policy Enforcement in Data Centers Conference IFIP/IEEE International Symposium on Integrated Network Management, Lisbon, Portugal 2017. Links | BibTeX @conference{cui2017heterogeneouscenters,
title = {Heterogeneous Network Policy Enforcement in Data Centers},
author = {Cui, L and Tso, F and Jia, W},
url = {http://poscotso.com/wp-content/uploads/2017/04/hope-2017.pdf},
year = {2017},
date = {2017-05-08},
booktitle = {IFIP/IEEE International Symposium on Integrated Network Management},
organization = {Lisbon, Portugal},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
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Alfoudi, A; Dighriri, M; Lee, GM ; Pereira, R; Tso, F Traffic Management in LTE-WiFi Slicing Networks Conference The 20th Conference on Innovations in Clouds, Internet and Networks (ICIN), Paris, France 2017. Links | BibTeX @conference{alfoudi2017trafficnetworks,
title = {Traffic Management in LTE-WiFi Slicing Networks},
author = {Alfoudi, A and Dighriri, M and Lee, GM and Pereira, R and Tso, F},
url = {http://poscotso.com/wp-content/uploads/2017/04/icin-2017.pdf},
year = {2017},
date = {2017-03-07},
booktitle = {The 20th Conference on Innovations in Clouds, Internet and Networks (ICIN)},
organization = {Paris, France},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
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Kecskemeti, G; Hajji, W; Tso, F Modelling Low Power Compute Clusters for Cloud Simulation Conference The 25th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2017), St. Petersburg, Russia 2017. Links | BibTeX @conference{kecskemeti2017modellingsimulation,
title = {Modelling Low Power Compute Clusters for Cloud Simulation},
author = {Kecskemeti, G and Hajji, W and Tso, F},
url = {http://poscotso.com/wp-content/uploads/2017/04/rpi-pdp17.pdf},
year = {2017},
date = {2017-03-06},
booktitle = {The 25th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2017)},
organization = {St. Petersburg, Russia},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
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2016
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Lin Cui Fung Po Tso, Dimitrios Pezaros Weijia Jia Wei Zhao P PLAN: Joint Policy- and Network-Aware VM Management for Cloud Data Centers Journal Article IEEE Transactions on Parallel and Distributed Systems, 2016, ISSN: 1045-9219. Links | BibTeX @article{Cui2016Plan,
title = {PLAN: Joint Policy- and Network-Aware VM Management for Cloud Data Centers},
author = {Lin Cui , Fung Po Tso, Dimitrios P. Pezaros, Weijia Jia, Wei Zhao},
url = {http://www.poscotso.com/wp-content/uploads/2016/09/policy_aware_vm_migration.pdf},
issn = {1045-9219},
year = {2016},
date = {2016-08-19},
journal = {IEEE Transactions on Parallel and Distributed Systems},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Tso, Fung Po; Jouet, Simon; Pezaros, Dimitrios P Network and Server Resource Management Strategies for Data Centre Infrastructures: A Survey Journal Article Journal of Computer Networks, 2016, ISSN: 1389-1286. Links | BibTeX @article{Tso2016b,
title = {Network and Server Resource Management Strategies for Data Centre Infrastructures: A Survey},
author = {Fung Po Tso and Simon Jouet and Dimitrios P. Pezaros},
url = {http://www.poscotso.com/wp-content/uploads/2016/07/dc_control_comnet.pdf},
doi = {10.1016/j.comnet.2016.07.002},
issn = {1389-1286},
year = {2016},
date = {2016-07-06},
journal = {Journal of Computer Networks},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Hajji, Wajdi ; Tso, Fung Po Understanding the Performance of Low Power Raspberry Pi Cloud for Big Data Journal Article Electronics, 5 (2), 2016, ISSN: 2079-9292. Abstract | Links | BibTeX @article{Hajji2016,
title = {Understanding the Performance of Low Power Raspberry Pi Cloud for Big Data},
author = {Hajji, Wajdi and Tso, Fung Po},
url = {http://www.poscotso.com/wp-content/uploads/2016/06/electronics-05-00029.pdf},
doi = {10.3390/electronics5020029},
issn = {2079-9292},
year = {2016},
date = {2016-06-06},
journal = {Electronics},
volume = {5},
number = {2},
abstract = {Nowadays, Internet-of-Things (IoT) devices generate data at high speed and large volume. Often the data require real-time processing to support high system responsiveness which can be supported by localised Cloud and/or Fog computing paradigms. However, there are considerably large deployments of IoT such as sensor networks in remote areas where Internet connectivity is sparse, challenging the localised Cloud and/or Fog computing paradigms. With the advent of the Raspberry Pi, a credit card-sized single board computer, there is a great opportunity to construct low-cost, low-power portable cloud to support real-time data processing next to IoT deployments. In this paper, we extend our previous work on constructing Raspberry Pi Cloud to study its feasibility for real-time big data analytics under realistic application-level workload in both native and virtualised environments. We have extensively tested the performance of a single node Raspberry Pi 2 Model B with httperf and a cluster of 12 nodes with Apache Spark and HDFS (Hadoop Distributed File System). Our results have demonstrated that our portable cloud is useful for supporting real-time big data analytics. On the other hand, our results have also unveiled that overhead for CPU-bound workload in virtualised environment is surprisingly high, at 67.2%. We have found that, for big data applications, the virtualisation overhead is fractional for small jobs but becomes more significant for large jobs, up to 28.6%.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Nowadays, Internet-of-Things (IoT) devices generate data at high speed and large volume. Often the data require real-time processing to support high system responsiveness which can be supported by localised Cloud and/or Fog computing paradigms. However, there are considerably large deployments of IoT such as sensor networks in remote areas where Internet connectivity is sparse, challenging the localised Cloud and/or Fog computing paradigms. With the advent of the Raspberry Pi, a credit card-sized single board computer, there is a great opportunity to construct low-cost, low-power portable cloud to support real-time data processing next to IoT deployments. In this paper, we extend our previous work on constructing Raspberry Pi Cloud to study its feasibility for real-time big data analytics under realistic application-level workload in both native and virtualised environments. We have extensively tested the performance of a single node Raspberry Pi 2 Model B with httperf and a cluster of 12 nodes with Apache Spark and HDFS (Hadoop Distributed File System). Our results have demonstrated that our portable cloud is useful for supporting real-time big data analytics. On the other hand, our results have also unveiled that overhead for CPU-bound workload in virtualised environment is surprisingly high, at 67.2%. We have found that, for big data applications, the virtualisation overhead is fractional for small jobs but becomes more significant for large jobs, up to 28.6%. |
Cui, Lin; Cziva, Richard; Tso, Fung Po; Pezaros, Dimitrios P Synergistic Policy and Virtual Machine Consolidation in Cloud Data Centers Conference The 34th IEEE International Conference on Computer Communications (INFOCOM), 2016, (Acceptance Ratio: 18.25%). Links | BibTeX @conference{Cui2016,
title = {Synergistic Policy and Virtual Machine Consolidation in Cloud Data Centers},
author = {Lin Cui and Richard Cziva and Fung Po Tso and Dimitrios P. Pezaros},
url = {http://www.poscotso.com/wp-content/uploads/2016/03/sync_cui.pdf},
year = {2016},
date = {2016-04-09},
booktitle = {The 34th IEEE International Conference on Computer Communications (INFOCOM)},
journal = {The 34th IEEE International Conference on Computer Communications (INFOCOM 2016)},
note = {Acceptance Ratio: 18.25%},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
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Tso, Fung Po Understanding The Network I/O Performance of Heterogenous Virtualisation in Cloud Data Centres Technical Report Department of Computer Science, Liverpool John Moores University 2016. Links | BibTeX @techreport{Tso2016,
title = {Understanding The Network I/O Performance of Heterogenous Virtualisation in Cloud Data Centres},
author = {Fung Po Tso},
url = {http://www.poscotso.com/wp-content/uploads/2016/03/tso2016vmperf.pdf},
year = {2016},
date = {2016-03-08},
institution = {Department of Computer Science, Liverpool John Moores University},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
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Cziva, Richard; Jouet, Simon; Stapleton, David; Tso, Fung Po; Pezaros, Dimitrios SDN-based Virtual Machine Management for Cloud Data Centers Journal Article IEEE Transactions on Network and Service Management, 2016, ISSN: 1932-4537. Links | BibTeX @article{Cziva2016,
title = {SDN-based Virtual Machine Management for Cloud Data Centers},
author = {Richard Cziva and Simon Jouet and David Stapleton and Fung Po Tso and Dimitrios Pezaros},
url = {http://www.poscotso.com/wp-content/uploads/2016/03/cziva2016sdn.pdf},
doi = {10.1109/TNSM.2016.2528220},
issn = {1932-4537},
year = {2016},
date = {2016-02-23},
journal = {IEEE Transactions on Network and Service Management},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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