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Abdoulaye Gamatie

Publications and source records attributed to Abdoulaye Gamatie.

2 recordsLinked to original sources

Urban Limits as Design Constraints: Identifying Suitable Locations for Distributed, Photovoltaic-Powered Servers

Urban territories face growing tensions between increasing digital demand, limited resources, and socially constrained built environments. Although distributed computing paradigms such as edge and fog computing are widely presented as solutions for reducing latency and energy dissipation, the scientific literature largely overlooks where such infrastructures can be physically and socially deployed within cities, and typically neglects urban constraints, environmental impacts, and equity considerations. This paper proposes a methodology for identifying suitable urban locations for deploying distributed servers under structural, environmental, and social limits. Relying exclusively on existing infrastructures and anthropised surfaces, it combines legal frameworks, ongoing urban projects, citizen consultations, and scientific literature to construct a place-based glossary of viable site typologies, evaluated through energy, spatial, and qualitative criteria. Applied to the French city of Montpellier, our results illustrate how urban constraints and local resources shape the feasibility of decentralised, solar-powered digital infrastructures, and highlight the value of territorialised approaches for rethinking digital services within urban limits.

cs.DC↗

A Workflow for Fast Evaluation of Mapping Heuristics Targeting Cloud Infrastructures

Resource allocation is today an integral part of cloud infrastructures management to efficiently exploit resources. Cloud infrastructures centers generally use custom built heuristics to define the resource allocations. It is an immediate requirement for the management tools of these centers to have a fast yet reasonably accurate simulation and evaluation platform to define the resource allocation for cloud applications. This work proposes a framework allowing users to easily specify mappings for cloud applications described in the AMALTHEA format used in the context of the DreamCloud European project and to assess the quality for these mappings. The two quality metrics provided by the framework are execution time and energy consumption.

cs.DC↗