131 research outputs found
Lessons learned from the design of a mobile multimedia system in the Moby Dick project
Recent advances in wireless networking technology and the exponential development of semiconductor technology have engendered a new paradigm of computing, called personal mobile computing or ubiquitous computing. This offers a vision of the future with a much richer and more exciting set of architecture research challenges than extrapolations of the current desktop architectures. In particular, these devices will have limited battery resources, will handle diverse data types, and will operate in environments that are insecure, dynamic and which vary significantly in time and location. The research performed in the MOBY DICK project is about designing such a mobile multimedia system. This paper discusses the approach made in the MOBY DICK project to solve some of these problems, discusses its contributions, and accesses what was learned from the project
ExPECA: An Experimental Platform for Trustworthy Edge Computing Applications
This paper presents ExPECA, an edge computing and wireless communication
research testbed designed to tackle two pressing challenges: comprehensive
end-to-end experimentation and high levels of experimental reproducibility.
Leveraging OpenStack-based Chameleon Infrastructure (CHI) framework for its
proven flexibility and ease of operation, ExPECA is located in a unique,
isolated underground facility, providing a highly controlled setting for
wireless experiments. The testbed is engineered to facilitate integrated
studies of both communication and computation, offering a diverse array of
Software-Defined Radios (SDR) and Commercial Off-The-Shelf (COTS) wireless and
wired links, as well as containerized computational environments. We exemplify
the experimental possibilities of the testbed using OpenRTiST, a
latency-sensitive, bandwidth-intensive application, and analyze its
performance. Lastly, we highlight an array of research domains and experimental
setups that stand to gain from ExPECA's features, including closed-loop
applications and time-sensitive networking
KheOps: Cost-effective Repeatability, Reproducibility, and Replicability of Edge-to-Cloud Experiments
Distributed infrastructures for computation and analytics are now evolving
towards an interconnected ecosystem allowing complex scientific workflows to be
executed across hybrid systems spanning from IoT Edge devices to Clouds, and
sometimes to supercomputers (the Computing Continuum). Understanding the
performance trade-offs of large-scale workflows deployed on such complex
Edge-to-Cloud Continuum is challenging. To achieve this, one needs to
systematically perform experiments, to enable their reproducibility and allow
other researchers to replicate the study and the obtained conclusions on
different infrastructures. This breaks down to the tedious process of
reconciling the numerous experimental requirements and constraints with
low-level infrastructure design choices.To address the limitations of the main
state-of-the-art approaches for distributed, collaborative experimentation,
such as Google Colab, Kaggle, and Code Ocean, we propose KheOps, a
collaborative environment specifically designed to enable cost-effective
reproducibility and replicability of Edge-to-Cloud experiments. KheOps is
composed of three core elements: (1) an experiment repository; (2) a notebook
environment; and (3) a multi-platform experiment methodology.We illustrate
KheOps with a real-life Edge-to-Cloud application. The evaluations explore the
point of view of the authors of an experiment described in an article (who aim
to make their experiments reproducible) and the perspective of their readers
(who aim to replicate the experiment). The results show how KheOps helps
authors to systematically perform repeatable and reproducible experiments on
the Grid5000 + FIT IoT LAB testbeds. Furthermore, KheOps helps readers to
cost-effectively replicate authors experiments in different infrastructures
such as Chameleon Cloud + CHI@Edge testbeds, and obtain the same conclusions
with high accuracies (> 88% for all performance metrics)
Federating Grid'5000
International audienceA description of past efforts and future plans regarding federation with Grid'5000 (short talk
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