Library of GraphQL caching solutions - develop & deploy with GraphQL easier & faster. 3 npm packages under the name @cachier - client & server-side custom eviction policy, cache normalization & partial query retrieval. Demo app to visualize the efficiency of our solutions is launched!

Optimized lightweight caching solution for GraphQL utilizing Redis at the query field level

A caching system that maximizes hit ratios under highly variable traffic.

Simulation code of our paper in IEEE Transactions on Mobile Computing: ''Joint Optimization of Base Station Clustering and Service Caching in User-Centric MEC''

⚡ Simple Cache Abstraction Layer for PHP

cs-papers is a repository for white papers and other research papers mainly in the field of software engineering. Happy reading ✌🏾

runtime-memcache is a javascript key-value store for chunks of arbitrary data (strings, objects, numbers) from results of database calls, API calls, or etc. It supports many commonly used caching policies.

Sparrow Mesh core service

A movies surfing android application developed by consuming The Movie Database API that displays a list of upcoming, popular and movies now playing in cinemas.

Efficient Data Caching with BLOC & HIVE in FLUTTER: Explore BLOC pattern integration with HIVE database for streamlined data caching in Flutter. This repo guides on storing API data locally, ensuring smooth offline functionality. Optimize your Flutter apps for offline mode with ease.

A React hook for managing an LRUCache (Least Recently Used Cache) in your React components.

Caching based on write back strategy using Redis

A backend API of review for Atelier e-commerce shop

MVVM architecture is used in the development of this application. Using Retrofit2 and Kotlin Coroutines, this app retrieves data from REST APIs and caches them in Room. I implemented the NetworkBoundResource helper method with Kotlin Flow.

Optimizing Applications with Network, Client, Backend

4.5 Million Data

Java-based caching solution designed to temporarily store key-value pairs with a specified time-to-live (TTL) duration.

Least Frequently Used Cache implementation in O(1) implementation. First paper under the Papers We Love initiative undertaken by Web Enthusiasts Club NITK. Paper chosen and undertaken by @chinmaydd

PWD is a boilerplate to get started with developing a Progressive Web Application. It uses the power of Service Worker to implement dynamic caching mechanism thus making the website go offline.