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Summary

This summary is machine-generated.

The Free Factory platform enables data-intensive web services on commodity hardware using virtual machines called Freegols. This system optimizes distributed batch processing, cache, and storage for high-throughput data operations.

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Area of Science:

Computer Science
Distributed Systems
Cloud Computing

Background:

Deploying data-intensive web services often requires significant infrastructure investment.
Existing solutions may lack flexibility or efficient resource utilization for distributed tasks.

Purpose of the Study:

To introduce the Free Factory, a novel platform for deploying data-intensive web services.
To leverage commodity hardware and free software for scalable and cost-effective data processing.

Main Methods:

Utilizing independently administered virtual machines (Freegols) for application deployment.
Implementing distributed batch processing (MapReduce variation), cache, and storage services within clusters.
Exploiting idle RAM and disk space for caching and reserving disks for high-bandwidth storage.

Main Results:

Each 48-node cluster achieves 4-8 gigabytes per second of disk I/O.
Current applications demonstrate 1 gigabyte per second I/O with 123 disks across two clusters.
Virtualization enables all cluster CPUs to participate in batch jobs.

Conclusions:

The Free Factory offers a flexible and efficient solution for data-intensive web services.
The platform demonstrates high I/O performance and scalability for large datasets.
Future work includes processing multi-hundred terabyte datasets with multiple clusters.