Tag: compute storage separation

Tech Talk: Achieving Separation of Compute and Storage in a Cloud World

The rise of compute intensive workloads and the adoption of the cloud has driven organizations to adopt a decoupled architecture for modern workloads – one in which compute scales independently from storage. While this enables scaling elasticity, it introduces new problems – how do you co-locate data with compute, how do you unify data across multiple remote clouds, how do you keep storage and I/O service costs down and many more.  

Enter Alluxio, a virtual unified file system, which sits between compute and storage that allows you to realize the benefits of a  hybrid cloud architecture with the same performance and lower costs. 

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Providing a Unified Data Layer at Memory Speed for Cloud Environments with Huawei and Alluxio

The cloud is rapidly becoming ubiquitous, with continued adoption focused on the flexibility and cost benefits of a utility infrastructure model. Enterprises are increasingly taking a “data first” view of infra- structure, which demands a new way of thinking in a world in which data is stored and accessed from multiple locations and providers. Performance and interoperability challenges, however, can present obstacles to cloud adoption and complicate data management. Techniques such as the use of data silos, ETL processes and multiple data copies, which are commonly employed to accommodate cloud limitations, often tend to offset the expected benefits of cloud infrastructure. Alluxio offers a new way to enhance the benefits of cloud infra- structure without the performance limitations or interoperability challenges resulting from accessing disparate data sources in multiple, often remote, locations.

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Alluxio Overview: Open Source Data Orchestration Technology

Alluxio is an open source data orchestration platform for large-scale analytics and AI/ML applications. It provides a unified namespace for accessing data distributed across private data centers and clouds, and also provides advanced caching to address issues with data locality, performance, and data egress costs. Alluxio provides the data accessibility, locality, and elasticity needed to reduce complexity and improve the performance for analytics and AI/ML workloads.

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Alluxio Architecture and Data Flow

Alluxio was created because we saw a need for innovation at the data layer rising from the growing complexity of connecting multiple compute frameworks to an ever-expanding mix of storage systems and formats. Our approach uses a memory-centric architecture that abstracts files and objects in underlying persistent storage systems and provides a shared data access layer for compute applications.

Alluxio is not a persistent storage system. Instead, Alluxio serves as a data access layer, residing between any persistent storage system (such as Amazon S3, Microsoft Azure Object Store, Apache HDFS or OpenStack Swift) and computation frameworks (such as Apache Spark, Presto or Hadoop MapReduce). This whitepaper provides a technical overview of the Alluxio architecture and describes the data flow for common read and write scenarios.

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