- 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.
My research focus on clean-slate design for future Cloud architectures that provide Big Data applications with programmable and composable network services.
- 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)
Google scholar profile page
workshop and abstract
NetAgg: Using Middleboxes for Application-specific On-path Aggregation in Data Centres
Luo Mai, Lukas Rupprecht, Abdul Alim, Paolo Costa, Matteo Migliavacca, Peter Pietzuch, Alexander L. Wolf.
10th ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT'14), Sedney, Australia, December 2014
Load Balanced Rendezvous Data Collection in Wireless Sensor Networks
Luo Mai, Longfei Shangguan, Chao Lang, Junzhao Du, Zhenjiang Li, and Mo Li.
8th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS'2011), Valencia, Spain, October 2011. (Nominated for best student papers)
- Exploiting Time-Malleability in Cloud-based Batch Processing Systems
Luo Mai, Evangelia Kalyvianaki, Paolo Costa
7th Workshop on Large-Scale Distributed Systems and Middleware (LADIS) co-located with SOSP'2013, USA.
- Supporting Application-Specific In-Network Processing in Data Centres
Luo Mai, Lukas Rupprecht, Paolo Costa, Matteo Migliavacca, Peter Pietzuch, Alexander L. Wolf
Poster session of SIGCOMM'2013, Hong Kong, China.