Abstract: In order to optimize all available resources (geographically spread) and minimize the processing time for experiments in High Energy and Nuclear ...

PDF | In order to optimize all available resources (geographically spread) and minimize the processing time for experiments in high energy and nuclear.

In this paper we present the extension of our on-going work for automated planning of data transfers along with multi-source multi-destination criteria.

Abstract—In order to optimize all available resources (ge- ographically spread) and minimize the processing time for experiments in High Energy and Nuclear ...

This paper presents the extension of on-going work for automated planning of data transfers along with multi-source multi-destination criteria for efficient ...

We introduce a model for planning data transfers to a single destination (data transfer) as well as its extension for an optimal data set spreading strategy ( ...

Feb 2, 2024 · Efficiency: Optimizes resource usage by ensuring that data is evenly distributed across available nodes. Limitations: Complexity: Managing and ...

For the past decade, HENP experiments have been heading towards a distributed computing model in an effort to concurrently process tasks over enormous data ...

Distributed Data Management (DDM) refers to the process of storing, accessing, and managing data across multiple, geographically dispersed locations.

Sep 24, 2021 · MinIO supports Multi-Site, Active-Active replication for synchronization of objects between an arbitrary number of MinIO deployments.