List TBD

  • Adaptive, Dynamic Load Balancing of Datacenter and WAN flows

    Introduction Data centers are one of the most important and essential infrastructures in today’s world. Recent years have seen a rapid growth in the number of cloud computing applications, connected IoT devices. With the large scale deployments of 5G in the near future, there will be even more applications, including more bulk transfers of videos […]

  • GDSim: a platform for benchmarking geo-distributed data centers job schedulers

    As cloud providers scale up their data centers and distribute them around the world to meet demand, proposing new job schedulers that into account data center geographical distribution have been receiving considerable attention from the data center management research and practitioner community. However, testing and benchmarking new schedulers for geo-distributed data centers is complicated by […]

  • Decentralized Edge Learning: Towards Fully Decentralized Paradigms of Edge Intelligence

    Introduction As the Internet’s edge has begun to regain prominence in response to unprecedented advances in computing, storage, and wireless communication technology,  wireless edge networks have grown increasingly more complex, not only due to the sheer number of connected devices but also due to the heterogeneity of those devices and the network technologies used to […]

  • DrIVE Associated Team: Distributed Intelligent Vehicular Environment

    Enabling ITS through programmable networks  

  • Socially- and Geographically-Aware Modeling Framework for User Mobility in Wireless Networks

    The "Socially- and Geographically-Aware Modeling Framework for User Mobility in Wireless Networks" is a project sponsored by the NSF under the NeTS Program. One of its main goals is to develop novel, socially-inspired human mobility models that also account for geographic diversity of the region of interest. The proposed models consider features observed in real human networks such as differential popularity, transitivity and clustering as well as geographical features and preferences from users.