Improving Software Middleboxes and Datacenter Task Schedulers
Shared systems have contributed to the popularity of many technologies. However, these systems often confront a common challenge: to ensure that resources are fairly divided without compromising utilization efficiency. In this master's thesis we look at this problem in two distinct systems---software middleboxes and datacenter task schedulers. We first present Sprayer, a system that uses packet spraying to load balance packets to cores in software middleboxes. Our design eliminates the imbalance problems of per-flow solutions and addresses the new challenges of handling shared flow states that come with packet spraying. Then, we present Stateful Dominant Resource Fairness (SDRF), a task scheduling policy for datacenters that looks at past allocations and enforces fairness in the long run. SDRF reduces users' waiting time on average and improves fairness by increasing the number of completed tasks for users with lower demands, with small impact on high-demand users.
H. Sadok, M. E. M. Campista, L. H. M. K. Costa. "O Passado Também Importa: Um Mecanismo de Alocação Justa de Múltiplos Tipos de Recursos ao Longo do Tempo." In SBRC, May 2018. Qualis B2.
H. Sadok, M. E. M. Campista, L. H. M. K. Costa. "Um Mecanismo para Compar-tilhamento de Recursos em Nuvens Colaborativas Baseado na Credibilidade dos Usuários." In SBRC, pp. 458-471, May 2017. Qualis B2.
H. Sadok, M. E. M. Campista, L. H. M. K. Costa. "Per-Packet Load Balancing for Multi-Core Middleboxes." Poster in USENIX NSDI, Apr. 2018. Qualis A1.
R. S. Couto, H. Sadok, P. Cruz, F. F. Silva, T. Sciammarella, M. E. M. Campista, L. H. M. K. Costa, P. B. Velloso, M. G. Rubinstein. "Building an IaaS Cloud with Droplets: a Collaborative Experience with OpenStack." In Journal of Network and Computer Applications, vol. 117, pp. 59-71, Sep. 2018. Qualis A2 (Impact Factor: 3.991).
Barreto, H. F. S. S. M. (2018). Improving software middleboxes and datacenter task schedulers. Master's thesis, Universidade Federal do Rio de Janeiro.
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