Anomaly Detection for the Centralised Elasticsearch Service at CERN [PDF]
Frontiers in Big Data, 2021 For several years CERN has been offering a centralised service for Elasticsearch, a popular distributed system for search and analytics of user provided data.
Jennifer R. Andersson +2 more
doaj +7 more sources
Tuning of Elasticsearch Configuration: Parameter Optimization Through Simultaneous Perturbation Stochastic Approximation [PDF]
Frontiers in Big Data, 2022 Elasticsearch is currently the most popular search engine for full-text database management systems. By default, its configuration does not change while it receives data.
Hårek Haugerud +3 more
doaj +3 more sources
BLINK with Elasticsearch for Efficient Entity Linking in Business Conversations [PDF]
arXiv, 2022 An Entity Linking system aligns the textual mentions of entities in a text to their corresponding entries in a knowledge base. However, deploying a neural entity linking system for efficient real-time inference in production environments is a challenging task.
Md Tahmid Rahman Laskar +6 more
arxiv +6 more sources
Towards Practical Visual Search Engine within Elasticsearch [PDF]
arXiv, 2018 In this paper, we describe our end-to-end content-based image retrieval system built upon Elasticsearch, a well-known and popular textual search engine. As far as we know, this is the first time such a system has been implemented in eCommerce, and our efforts have turned out to be highly worthwhile.
Cun Mu +4 more
arxiv +5 more sources
Securing and sharing Elasticsearch resources with Read-onlyREST [PDF]
EPJ Web of Conferences, 2019 In early 2016 CERN IT created a new project to consolidate and centralise Elas-ticsearch instances across the site, with the aim to offer a production quality new IT services to experiments and departments.
Schwickerath Ulrich +2 more
doaj +4 more sources
Simulating and Evaluating a Real-World ElasticSearch System Using the RECAP DES Simulator [PDF]
Future Internet, 2021 Simulation has become an indispensable technique for modelling and evaluating the performance of large-scale systems efficiently and at a relatively low cost. ElasticSearch (ES) is one of the most popular open source large-scale distributed data indexing
Malika Bendechache +4 more
doaj +2 more sources
JISKA (Jurnal Informatika Sunan Kalijaga), 2023 Currently, humans live in an era of data oceans, where the amount of data production is increasing from time to time, which is followed by severe challenges in terms of processing, storing, and analyzing data, especially big data.
Theresia Liana Sinaga +2 more
doaj +3 more sources
Big Data Analysis using Elasticsearch and Kibana: A Rating Correlation to Sustainable Sales of Electronic Goods [PDF]
HighTech and Innovation Journal, 2023 Big data collection involves enormous amounts of raw data. To boost the sustainability of corporate value and support business intelligence and decision-making systems, in-depth data analysis is necessary.
Henderi Henderi +4 more
doaj +2 more sources
Pemanfaatan Elasticsearch untuk Temu Kembali Informasi Tugas Akhir
Jurnal Teknologi dan Sistem Informasi, 2019 Teknologi Informasi (TI) telah menjadi pendukung utama dalam menjalankan operasional di berbagai kebutuhan organisasi, termasuk perguruan tinggi. Bentuk dari produk teknologi informasi yang paling sering digunakan adalah sistem informasi yang dapat ...
Ardian Prima Atmaja +1 more
doaj +3 more sources
Enhancing cloud-based large language model processing with Elasticsearch and transformer models [PDF]
arXivLarge Language Models (LLMs) are a class of generative AI models built using the Transformer network, capable of leveraging vast datasets to identify, summarize, translate, predict, and generate language. LLMs promise to revolutionize society, yet training these foundational models poses immense challenges.
Chunhe Ni +4 more
arxiv +3 more sources