Codetown
Codetown ::: a software developer's community
Sending strings between two computers via ethernet
A while ago I asked a question about using RS-232 communication with Java. It seems as though I need to abandon that route because it no longer fits the desired system requirements. Thanks to Nem for his advice on that one.
Now what I need to be able to do is send and receive strings between two computers connected via a network hub. The computers in use would not be connected to the outside world and would only be communicating with each other at this point.
I need to be able to send a string like "auto" terminated with a carriage return when a button on a GUI is pressed by the user. The GUI would then need to get back a string like "ok" or "err" also followed by a carriage return.
I am sure that I am making this much harder than I need to, so if anyone can help out it would appreciated. For some reason I am having a lot of trouble absorbing how to use Java, so any help or explanations need to be in beginner terms.
Thanks.
Views: 2368
Replies to This Discussion
-
Permalink Reply by Paul Stearns on
-
Thanks, I will check those out.
Thanks again for the help.
- ‹ Previous
- 1
- 2
- Next ›
Happy 10th year, JCertif!
Notes
Welcome to Codetown!
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
Looking for Jobs or Staff?
Check out the Codetown Jobs group.
InfoQ Reading List
NVIDIA Personal AI Router Distributes AI Tasks Across Local Compute
NVIDIA Personal AI Router (PAIR), now available in beta, lets you combine the inference capacity of multiple computers on your local network and automatically distribute AI requests among them. It is primarily designed for local multi-agent AI workloads, where multiple independent model calls can otherwise overwhelm one GPU.
By Sergio De SimoneNetflix Reworks Conductor for 420 Million Monthly Workflow Executions and 10X Larger Workflows
Netflix has reworked its Conductor workflow orchestration engine to handle larger workloads, increasing supported workflow size from about 2,500 to 30,000 tasks and reducing p99 workflow evaluation latency by about 40%. Conductor 4.0 separates workflow metadata from task data, moves evaluation to asynchronous processing, and introduces dynamic worker allocation and concurrency controls.
By Leela Kumilitsgolint Reaches Stable v7, Bringing Go-Powered Type-Aware Linting to Oxlint
tsgolint has released a stable v7, enhancing TypeScript linting with native Go speed. It offers type-aware linting, leveraging TypeScript's semantic analysis through the typescript-go compiler. Oxlint manages configurations and file discovery. The release, compatible with TypeScript 7.0.2, handles 59 of 61 type-aware rules and shows significant performance improvements over ESLint.
By Daniel CurtisTerraform AWS Provider Continues Rapid Expansion as AWS Infrastructure Becomes More Complex
The Terraform AWS Provider continues its rapid evolution, with v6.62.0 adding support for new AWS capabilities while improving how Terraform understands and manages existing infrastructure.
By Craig RisiPresentation: How To Run on Three Clouds at Once, and When Not To
Ross McFarlane and Kevin Holditch discuss Form3's evolution from a single-cloud setup to a triple active multi-cloud architecture. They share key engineering strategies for cross-cloud networking, distributed databases with CockroachDB and NATS, custom Kubernetes operators, and navigating distinct regional disaster recovery expectations across the UK, Europe, and US financial markets.
By Ross McFarlane, Kevin Holditch
© 2026 Created by Michael Levin.
Powered by
