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Published on: February 3, 2021
Free Factories: Unified Infrastructure for Data Intensive Web Services.
Summary
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.
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.
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