Overview of Web Application Performance Optimization Techniques

• URL: http://arxiv.org/abs/2412.07892v1
• Date: Tue, 10 Dec 2024 19:59:40 GMT
• Title: Overview of Web Application Performance Optimization Techniques
• Authors: Juho Vepsäläinen, Arto Hellas, Petri Vuorimaa,
• Abstract summary: The World Wide Web has helped to transform the world and create digital economies. One of the side effects of this evolution was perhaps suboptimal ways to deliver content over the web, leading to wasted resources and business through lost conversions. In this article, we examine the currently available options and the latest trends related to improving web application performance.
• Score: 2.377308748205625
• License:
• Abstract: During its thirty years of existence, the World Wide Web has helped to transform the world and create digital economies. Although it started as a global information exchange, it has become the most significant available application platform on top of its initial target. One of the side effects of this evolution was perhaps suboptimal ways to deliver content over the web, leading to wasted resources and business through lost conversions. Technically speaking, there are many ways to improve the performance of web applications. In this article, we examine the currently available options and the latest trends related to improving web application performance.

Related papers

• A Survey on Web Application Testing: A Decade of Evolution [22.84916271936475]
  Web Application Testing (WAT) plays a vital role in ensuring web applications' functionality, security, and reliability. Various WAT approaches have been developed over the last decade. This paper examines the main steps involved in WAT, including test-case generation and execution, and evaluation and assessment.
  arXiv  Detail & Related papers  (2024-12-13T04:13:28Z)
• From Context to Action: Analysis of the Impact of State Representation and Context on the Generalization of Multi-Turn Web Navigation Agents [7.41862656697588]
  This study aims to analyze the various contextual elements crucial to the functioning of web navigation agents. We focus on the influence of interaction history and web page representation. Our work highlights improved agent performance across out-of-distribution scenarios.
  arXiv  Detail & Related papers  (2024-10-31T01:51:41Z)
• Enabling Technologies for Web 3.0: A Comprehensive Survey [28.85549752146637]
  Web 3.0 represents the next stage of Internet evolution, aiming to empower users with increased autonomy, efficiency, quality, security, and privacy. We conduct an in-depth survey of enabling technologies in the context of Web 3.0, such as blockchain, semantic web, 3D interactive web, Metaverse, Virtual reality/Augmented reality, Internet of Things technology, and their roles in shaping Web 3.0.
  arXiv  Detail & Related papers  (2023-12-29T10:22:18Z)
• Artificial Intelligence for Web 3.0: A Comprehensive Survey [76.06151253928171]
  We explore the current development state of Web 3.0 and the application of AI Technology in Web 3.0. Our investigation delves into the major challenges and issues present in each of these layers. We illustrate the crucial role of AI in the foundation and growth of Web 3.0.
  arXiv  Detail & Related papers  (2023-08-17T12:36:01Z)
• The Web Can Be Your Oyster for Improving Large Language Models [98.72358969495835]
  Large language models (LLMs) encode a large amount of world knowledge. We consider augmenting LLMs with the large-scale web using search engine. We present a web-augmented LLM UNIWEB, which is trained over 16 knowledge-intensive tasks in a unified text-to-text format.
  arXiv  Detail & Related papers  (2023-05-18T14:20:32Z)
• Online Distillation with Continual Learning for Cyclic Domain Shifts [52.707212371912476]
  We propose a solution by leveraging the power of continual learning methods to reduce the impact of domain shifts. Our work represents an important step forward in the field of online distillation and continual learning, with the potential to significantly impact real-world applications.
  arXiv  Detail & Related papers  (2023-04-03T11:15:05Z)
• Web 3.0: The Future of Internet [53.234101208024335]
  Web 3.0 is a decentralized Web architecture that is more intelligent and safer than before. Web 3.0 is capable of addressing web data ownership according to distributed technology. It will optimize the internet world from the perspectives of economy, culture, and technology.
  arXiv  Detail & Related papers  (2023-03-23T15:37:42Z)
• Web3: The Next Internet Revolution [50.16560061003771]
  Next internet revolution: Web3 is going to open new opportunities for traditional social models. Decentralized finance will be global, and open with financial inclusiveness for unbanked people. Several worthwhile future research directions of Web3 are discussed.
  arXiv  Detail & Related papers  (2023-03-22T23:37:43Z)
• Advanced Data Augmentation Approaches: A Comprehensive Survey and Future directions [57.30984060215482]
  We provide a background of data augmentation, a novel and comprehensive taxonomy of reviewed data augmentation techniques, and the strengths and weaknesses (wherever possible) of each technique. We also provide comprehensive results of the data augmentation effect on three popular computer vision tasks, such as image classification, object detection and semantic segmentation.
  arXiv  Detail & Related papers  (2023-01-07T11:37:32Z)
• SnapMode: An Intelligent and Distributed Large-Scale Fashion Image Retrieval Platform Based On Big Data and Deep Generative Adversarial Network Technologies [2.280980014008583]
  It is nearly impossible for humans to manually catch up with the ongoing evolution and the continuously variable content in this domain. This paper first proposes a scalable focused Web engine based on the distributed computing platforms to extract and process fashion data on e-commerce websites. For the real-life implementation of the proposed solution, a Web-based application is developed on Apache Storm, Kafka, Solr, and Milvus platforms to create a fashion search engine called SnapMode.
  arXiv  Detail & Related papers  (2022-04-08T11:08:03Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.