An Overview of Portable Distributed Techniques
Sanjay Bansal, Nirved Pandey

TL;DR
This paper reviews portable distributed programming techniques like MPI and PVM, analyzing their architecture and performance factors to enhance scalability, fault tolerance, load balancing, and overall efficiency.
Contribution
It provides a comprehensive comparison of portable distributed techniques focusing on architecture, utilities, and key performance characteristics based on literature review.
Findings
MPI and PVM are effective portable distributed techniques.
Scalability and fault tolerance are influenced by specific architectural factors.
Performance improvements depend on load balancing and fault management strategies.
Abstract
In this paper, we reviewed of several portable parallel programming paradigms for use in a distributed programming environment. The Techniques reviewed here are portable. These are mainly distributing computing using MPI pure java based, MPI native java based (JNI) and PVM. We will discuss architecture and utilities of each technique based on our literature review. We explored these portable distributed techniques in four important characteristics scalability, fault tolerance, load balancing and performance. We have identified the various factors and issues for improving these four important characteristics.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsParallel Computing and Optimization Techniques · Distributed and Parallel Computing Systems · Advanced Data Storage Technologies
