Update e2clab_project.md

_projects/e2clab_project.md

@@ -114,18 +114,6 @@ the reproducible artifacts and the experimental environment. We will demonstrate
 how our Jupyter/Trovi approach for reproducibility helps scientists to reproduce 
 complex Edge-to-Cloud workflows across Chameleon/CHI@Edge/G5K.
 
-## Results for 2023/2024
-
-In 2023, the collaboration between INRIA and ANL continued principally via discussions on reproducibility as well as around an emergent common interest in edge computing. 
-
-On the reproducibility front, Daniel Rosendo presented a paper on practical reproducibility in Edge-to-Cloud experiments at the ACM REP conference on June 27, 2023 {% cite RosendoEtAl2023 %}. The results presented in the paper were largely an outcome of the joint work performed in the prior year.
-
-On the ANL side, we continued our investment in reproducibility topics by engaging a wide community of researchers and educators to advance the mission of popularizing the concept of practical reproducibility in Computer Science. This work was performed as part of the ANL-led REPETO project {% cite Repeto2024 --file external/e2clab_project.bib %}. We held four reproducibility hackathons in collaboration with major CS conferences, including at FAST 2023, ACM REP 2023, ATC/OSDI 2023, and IC2E 2023. In addition, we organized two additional hackathons with the Chameleon community (one at the Chameleon User Meeting in May 2023 and another virtual hackathon in Dec. 2023). These events showed attendees how to package experiments for practical reproducibility and share them on Chameleon’s Trovi service so others could reproduce them. Furthermore, we published a paper (Three Pillars of Practical Reproducibility) at the 2023 IEEE eScience ReWorDS Workshop, outlining the methodology and support needed for practical reproducibility {% cite KeaheyEtAl2023 --file external/e2clab_project.bib %}.
-
-Over the summer of 2023, members of the REPETO project hosted the first Summer of Reproducibility program. The program offers summer internship opportunities for students and mentors who are interested in reproducibility for computer science research. It is modeled on Google Summer of Code: mentors propose a project and students apply for it. We particularly sponsor projects that package experiments to advance practical reproducibility, i.e., the idea that reproducibility can be a mainstream method of scientific exploration, similar to what reading papers is today. Those experiments can be replayed -- and potentially modified and improved to propose and test new ideas -- on Chameleon. The program provides funding for both US-based and international students and collaborations. In 2024, the REPETO project will continue to support the Summer of Reproducibility initiative and a call for projects for this summer is already underway.
-
-The discussions of edge computing are emergent with both INRIA and ANL making separate investigations for the time being. The ANL team is working in the context of the CHI@Edge platform on Chameleon {% cite Chi@Edge2024 --file external/e2clab_project.bib %} and FLOTO projects {% cite KeaheyEtAl2023b --file external/e2clab_project.bib %}. The INRIA team is focusing on two challenges: (1) the efficient provenance data capture at the edge, for reproducibility purposes {% cite RosendoEtAl2023b --file external/e2clab_project.bib %}, and (2) enabling continual learning and federated learning at the edge, in the context of the ENGAGE project {% cite Engage2024 --file external/e2clab_project.bib %}, where initial results target the efficient deployment of such workloads on the edge-cloud continuum {% cite PrigentEtAl2022 --file external/e2clab_project.bib %} and securing the learning in the heterogeneous and volatile edge environments {% cite ChelliEtAl2023 --file external/e2clab_project.bib %}.
-
 ## Results for 2022/2023
 
 This research work was developed during the summer internship of Daniel Rosendo (INRIA) at
@@ -170,6 +158,18 @@ the experimental environment; (2) deploy distributed applications on multiple te
 easily; (3) repeat experiments on the same testbed configurations; and (4) make code, 
 data, environment, and results shared easily.
 
+## Results for 2023/2024
+
+In 2023, the collaboration between INRIA and ANL continued principally via discussions on reproducibility as well as around an emergent common interest in edge computing. 
+
+On the reproducibility front, Daniel Rosendo presented a paper on practical reproducibility in Edge-to-Cloud experiments at the ACM REP conference on June 27, 2023 {% cite RosendoEtAl2023 %}. The results presented in the paper were largely an outcome of the joint work performed in the prior year.
+
+On the ANL side, we continued our investment in reproducibility topics by engaging a wide community of researchers and educators to advance the mission of popularizing the concept of practical reproducibility in Computer Science. This work was performed as part of the ANL-led REPETO project {% cite Repeto2024 --file external/e2clab_project.bib %}. We held four reproducibility hackathons in collaboration with major CS conferences, including at FAST 2023, ACM REP 2023, ATC/OSDI 2023, and IC2E 2023. In addition, we organized two additional hackathons with the Chameleon community (one at the Chameleon User Meeting in May 2023 and another virtual hackathon in Dec. 2023). These events showed attendees how to package experiments for practical reproducibility and share them on Chameleon’s Trovi service so others could reproduce them. Furthermore, we published a paper (Three Pillars of Practical Reproducibility) at the 2023 IEEE eScience ReWorDS Workshop, outlining the methodology and support needed for practical reproducibility {% cite KeaheyEtAl2023 --file external/e2clab_project.bib %}.
+
+Over the summer of 2023, members of the REPETO project hosted the first Summer of Reproducibility program. The program offers summer internship opportunities for students and mentors who are interested in reproducibility for computer science research. It is modeled on Google Summer of Code: mentors propose a project and students apply for it. We particularly sponsor projects that package experiments to advance practical reproducibility, i.e., the idea that reproducibility can be a mainstream method of scientific exploration, similar to what reading papers is today. Those experiments can be replayed -- and potentially modified and improved to propose and test new ideas -- on Chameleon. The program provides funding for both US-based and international students and collaborations. In 2024, the REPETO project will continue to support the Summer of Reproducibility initiative and a call for projects for this summer is already underway.
+
+The discussions of edge computing are emergent with both INRIA and ANL making separate investigations for the time being. The ANL team is working in the context of the CHI@Edge platform on Chameleon {% cite Chi@Edge2024 --file external/e2clab_project.bib %} and FLOTO projects {% cite KeaheyEtAl2023b --file external/e2clab_project.bib %}. The INRIA team is focusing on two challenges: (1) the efficient provenance data capture at the edge, for reproducibility purposes {% cite RosendoEtAl2023b --file external/e2clab_project.bib %}, and (2) enabling continual learning and federated learning at the edge, in the context of the ENGAGE project {% cite Engage2024 --file external/e2clab_project.bib %}, where initial results target the efficient deployment of such workloads on the edge-cloud continuum {% cite PrigentEtAl2022 --file external/e2clab_project.bib %} and securing the learning in the heterogeneous and volatile edge environments {% cite ChelliEtAl2023 --file external/e2clab_project.bib %}.
+
 
 ## Visits and meetings