Prof. Fábio L. Verdi from UFSCar gave a keynote at the Federal Institute of Paraiba and at the Innovation Pole of Paraiba in July 2023. During his visit, the Prof. had a few meetings regarding future collaborations with SMARTNESS in the context of 5G and Industry 5.0. Also, the IFPB team manifested interest in sending students to attend the MSc and Ph.D. programs at the UFSCar so that a stronger collaboration can be started.
Prof. Fábio, PhD candidate Leandro and Prof. Paulo (IFPB) attended SBRC 2023 in Brasilia in May.
Experimentation is an essential step for many scientific types of research since it enables the researcher to observe the validity of his hypotheses. In the context of computer networks, during the experimentation phase, it is challenging to find load generators that can model traffic patterns for the most diverse types of applications. In this sense, we present WAVE – Workload Assay for Verified Experiments. Being application agnostic, WAVE has been widely performed in load tests for video-on-demand and key-value store applications. In the current version, WAVE can generate loads for two distinct patterns: sinusoid and flashcrowd.
LERIS welcomes Prof. Thiago Caproni Tavares from IF Sul de Minas as a post-doc researcher. Thiago will spend six months in KTH, Sweden as part of his research. Thiago will be investigating 5G throughput prediction using ML algorithms.
LERIS is seeking candidates for a post-doctoral fellowship position for 24 months to work in the recently created SMARTNESS FAPESP Engineering Research Center (ERC). The candidate will work specifically in the area of disaggregation of resources. Disaggregation is a concept where resources are separated into pools, facilitating elasticity, deployment and management. The main idea is to carry out the functional decomposition of applications into blocks of codes and map these blocks to different hardwares such as programmable network devices (e.g. Tofino switches), SmartNICs and FPGAs, which are used to perform network processing and other specialized functions, releasing the CPU to only handle applications. The candidate will need to understand how LLVM and other tools such as Intel® oneAPI DPC++/C++ Compiler may be used to build the solution. The candidate will work under the supervision of Prof. Fábio Luciano Verdi in the scope of DisCoNet Research Strand.
*** How to apply ***
Interested candidates should fill the online formhttps://forms.gle/iT2KwuWmP9mgD4Sx5 until March 20th, 2023, by adding the documents listed below:
1. A motivation letter for the application;
2. Curriculum vitae, with the list of publications, education background, research track-record, and previous experience;
3. Ph.D. degree certificate;
*** Selection process ***
It will be based on the motivation of the proposal, letters of recommendation, curriculum vitae with the list of publications, training and experience, and copy of the University Degree certicate (s). There will be an interview with the finalists which will take place via videoconference.
*** Additional Information ***
Eligibility Criteria: Ph.D. in Computer Science or related areas.
The opportunity is open to Brazilians and foreigners. The selected candidate will receive a FAPESP Postdoctoral Scholarship in the amount of R$ 8,479.20 per month and a Technical Reserve equivalent to 10% of the annual value of the scholarship for contingency funds directly related to the research activity. For more details, check out Fapesp’s webpage http://www.fapesp.br/en/5427. The candidate will work in the LERIS research group located in Sorocaba, SP, Brazil.
Prof. Fábio L. Verdi (UFSCar)
The paper Network Monitoring on Multi-Pipe Switches was accepted to appear at Sigmetrics 2023. The work was done jointly with Marco Chiesa (KTH) during and after Prof. Fábio Verdi post-doc research in Stockholm. The full paper can be obtained here and all the reproducible artifacts can be seen here.