Luo Mai

PhD Student
e-mail: luo[dot]mai11{at}imperial[dot]ac[dot]uk

About me
I'm currently a PhD student at the Department of Computing of Imperial College London. I am advised by Dr. Paolo Costa and Prof. Alexander L. Wolf. My PhD is sponsored by a 2012 - 2015 Google PhD Fellowship in Cloud Computing. I received my Master of Research (MRes) degree at Imperial College at 2012, and Bachelor of Engineering (BEng) degree from Xidian University at 2011.




News
  • Sep. 2014 - NetAgg is accepted by CoNEXT'14 as a full paper.
  • Aug. 2014 - I spend 4 month as a visiting fellow with the data center networking group at Microsoft Research.
  • Nov. 2013 - GearBox is reported by The Register.
  • Aug. 2013 - GearBox is accepted by LADIS co-located with SOSP'2013.
  • Aug. 2013 - I presented a poster about our NaaS project in this year's SIGCOMM, Hong Kong.
  • Mar. 2013 - I presented our NaaS project in the Google PhD Poster Competition. The poster can be found here.


Research goals

My research focus on clean-slate design for future Cloud architectures that provide Big Data applications with programmable and composable network services.


Projects
  • NaaS: Network-as-a-Service in the Cloud (NetAgg @ CoNEXT'14)
    NaaS integrates current cloud computing offerings with direct yet secure access to the network infrastructure by tenants. With Naas, tenants can easily deploy advanced application-specific network services, such as custom routing, in-network data aggregation, redundancy elimination and smart caching. We believe that NaaS has the potential to revolutionise the current cloud offerings because it would increase the performance of tenants' applications through efficient forwarding and in-network operations but also reduce development complexity by combining (distributed) computation and network in a single, coherent, abstraction. (with Lukas Rupprecht, Abdul Alim, Paolo Costa, Peter Pietzuch, Matteo Migliavacca and Alexander L. Wolf, 2012 - Present)

  • GearBox: Arbitrated Resource Planning in Multi-Tenant Clouds (LADIS'13, Press: The Register)
    Current IaaS Cloud providers often delegate the decisions of resource allocation to the the tenants themselves. Although this model ensures certain performance guarantees to the clients, it severely limits the flexibility of resource utilisation in the Cloud itself. In this project, we aim to design, develop and evaluate novel resource planning algorithms for multi- tenant Clouds to increase Cloud resource utilisation and to provide flexible cost models. At the core of this project lies the development of novel models that accurately capture and access the trade-offs among resource allocation, resource costing and application performance metrics. (with Dr. Paolo Costa and Dr. Eva Kalyvianaki, 2012 -- present)

  • Mobile Data Harvesting in Sensor Networks (MASS'11, IJDSN'12)
    In this project, I proposed and developed a light-weight distributed protocol to facilitate rangers to achieve long-lasting data harvesting in a wireless sensor network that is deployed in the vast forest. (with Long-fei Shangguan, Dr. Junzhao Du, Zhenjiang Li, and Mo Li, 2009 -- 2011)

Publications
Google scholar profile page


conference workshop and abstract journal