# Scheduling and Trade-off Analysis for Multi-Source Multi-Processor Systems with Divisible Loads

## TL;DR

This paper explores scheduling strategies for multi-source, multi-processor systems handling divisible loads, aiming to optimize performance and resource trade-offs in parallel processing environments.

## Contribution

It introduces a novel analysis of scheduling and trade-offs specifically tailored for systems with divisible loads and multiple sources and processors.

## Key findings

- Proposes a new scheduling framework for divisible loads
- Analyzes performance trade-offs in multi-source multi-processor systems
- Provides guidelines for optimizing resource allocation

## Abstract

The main goal of parallel processing is to provide users with performance that is much better than that of single processor systems. The execution of jobs is scheduled, which requires certain resources in order to meet certain criteria. Divisible load is a special but widely used type of data which can be divided into arbitrary sizes and independently processed in parallel. It can be used in applications which are processing a great amount of similar data units.