DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Newsletter
Log In / Join
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Related

  • When One Docker Swarm Replica Became Unreachable Over an Overlay Network: A Production Case With Traefik
  • Documentation Debt Is the Real Risk in Long-Lived Network Infrastructure
  • Beyond Clicking Buttons: Build a Browser Agent That Verifies Its Results With Playwright MCP
  • Distributing Massive AI Models With Network-Layer Multicast

Trending

  • Member Spotlight: Raghava Dittakavi
  • MySQL Instant DDL: Metadata Locks, Waiting Writers, and Query Pileups
  • Fix the Target, Precompute Once: A Backend-Free Word-Ladder Solver With a BFS Distance Field
  • Part 4: Multi-Agent Orchestration — Pairing Goose With Quarkus Flow State Machines

Draft This article hasn't been published, so readers can't see it.

In moderation This article is waiting for review, so readers can't see it yet.

Deleted This article has been deleted, so readers can't see it.

  1. DZone
  2. Data Engineering
  3. IoT
  4. Remote Services Over (Unreliable) Networks

Remote Services Over (Unreliable) Networks

To respond to a network failure, first there has to be a way to detect it.

By 
Scott Lewis
·
May. 05, 16 · Tutorial
Post on X (opens in a new tab) Share on LinkedIn (opens in a new tab)
3.4K Views

Join the DZone community Save articles, join the discussion, and download Refcards and Trend Reports with a free account.

Join for free Already a member? Log in

In a previous post, I described how ECF Remote Services provided a way to create, implement, test, deploy and upgrade transport-independent remote services.

Note that 'transport-independent' does not mean ' transparent'. For example, with network services it's always going to relatively likely that a remote service (whether an OSGi Remote Service or any other kind of service) could fail at runtime.   The truth of this is encapsulated in the first fallacy of distributed computing:  The network is reliable.

A 'transparent' remote services distribution system would attempt to hide this fact from the service designer and implementer.   Alternatively, the ECF Remote Services approach allows one to choose a distribution provider(s) to meet the reliability and availability requirements for that remote service, and/or potentially change that selection in the future if requirements change. Also, the dynamics of OSGi services (inherited by Remote Services), allows network failure to be mapped by the distribution system to dynamic service departure. For example, using Declarative Services, responding at the application level to a network failure can be as simple as implementing a method:

void unbindStudentService(StudentService service) throws Exception {
 // Make service unavailable to application
this.studentService = null;
 // Also could respond by using/binding to a backup service, removing
 // service from UI, etc
}

This is only possible if:
  1. The distribution system detects the failure
  2. The distribution system maps the detected failure to a service unregistration of the proxy

If those two things happen, then using DS the proxy unregistration will result in the unbind method above being called by DS.But the two requirements on the distribution system above may not be satisfied by all distribution providers. For example, for a typical REST/http-based service, there may be no way for the distribution system to detect network failure, and so no unbinding of the service can/will occur.

The use of transport-independent remote services, along with the ability to choose/use/create custom distribution providers as appropriate allows micro service developers to easily deal with the realities of distributed computing, as well as changing service requirements.

remote Network

Published at DZone with permission of Scott Lewis. See the original article here.

Opinions expressed by DZone contributors are their own.

Related

  • When One Docker Swarm Replica Became Unreachable Over an Overlay Network: A Production Case With Traefik
  • Documentation Debt Is the Real Risk in Long-Lived Network Infrastructure
  • Beyond Clicking Buttons: Build a Browser Agent That Verifies Its Results With Playwright MCP
  • Distributing Massive AI Models With Network-Layer Multicast

Partner Resources

×

Comments

Loading comments

The comments didn't load

Please try again in a moment.

Likes

Loading

The next likes didn't load. Please try again.

The likes didn't load

Please try again in a moment.

See who liked this

Log in or join DZone for free to see who liked this article.

Log in Join for free
  • RSS
  • X
  • Facebook

ABOUT US

  • About DZone
  • Support and feedback
  • Community research

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 215
  • Nashville, TN 37211
  • [email protected]

Let's be friends:

  • RSS
  • X
  • Facebook