CACSS Cloud Storage System Web Login Portal

CACSS Cloud Storage System (Big Data Ready) Live Demonstration (Amazon S3, Rackspace, Google Cloud Storage Alternatives)

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CACSS Cloud Storage System

  • Neither of Amazon S3’s architecture nor its implementation has yet been made public. As such, it is not available for extension in order to develop the capability of creating private clouds of any size. In order to reveal this secret knowledge behind cloud storage services and thereby a generic solution, we present CACSS, a generic computational and adaptive cloud storage system that adapts existing storage technologies to provide efficient and scalable services.
  • CACSS Cloud Storage System is built as the implementation of one of my papers CACSS: Towards a Generic Cloud Storage Service (In: The 2nd International Conference on Cloud Computing and Services Science, CLOSER 2012, Porto, Portugal. Pages 27-36,SciTePress 2012, ISBN 978-989-8565-05-1.)
  • It is Amazon S3 API Compatible (you only need to change the endpoint from s3.amazonaws.com to s3.bigdatapro.org)
  • Currently deployed across a bunch of virtual machines.
  • Some functions such as object versioning is currently disabled.
  • Please feel free to contact me for any questions you may have.

Web Portal: http://www.bigdatapro.org or http://console.bigdatapro.org

End Point: http://s3.bigdatapro.org (use port 80, SSL is not yet supported)

CACSS Open Source Cloud Storage System Web Login Portal

CACSS OpenSource Cloud Storage System Web Control Panel Demostration

Keywords: Amazon S3, Amazon S3 Architecture, Open Source Amazon S3,  Open Source Cloud Storage System, CACSS, Big Data Storage

 

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Dynamic and high performance Cloud Storage system

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In a 2008 study at the University of California, Santa Cruz funded by the National Science Foundation shows that more than 60% of data is inactive or static, but kept just in case it’s needed. Storing the inactive and active data in the same place is not cost-effective. Same problem also exist among cloud storage providers

  • Dynamic file storage placement: To balance the performance with costs, there is need for cloud storage providers to adapt multi-tier storage systems and enable automatically moving inactive data and storing them in lower cost storage and retrieve it immediately. The data movement is accomplished in a manner that is transparent to the end users.
    • File Access Pattern Recognition
    • File Types: sequential access, random access
    • Performance on-demand service: to enable users to reserve the storage and network I/O for specific files at a specific time in advance. This guarantees the performance of these files. Both users and providers benefit from this service. Users can pay and get better performance on demand without doing much effort.  Providers can better schedule the resource based on the reservations.
      • Storage system and network I/O scheduling
      • Spot pricing, dynamic price over time

 

Existing Product and research:

Hitachi: Tiered Storage Manage:  http://www.hds.com/products/storage-software/hitachi-tiered-storage-manager.html?WT.ac=us_mg_pro_tsm

Hystor: Making the Best Use of Solid State Drives in High Performance Storage Systems.

Energy Efficient Storage Management Cooperated with Large Data Intensive Applications

HybridStore: A Cost-Efficent, High performance Storage System Combining SSDs and HDDs

Cost Effective Storage using Extent based Dynamic Tiering

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