Dell products l.p. (20240111429). TECHNIQUES FOR COLLECTING AND UTILIZING ACTIVITY METRICS simplified abstract

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TECHNIQUES FOR COLLECTING AND UTILIZING ACTIVITY METRICS

Organization Name

dell products l.p.

Inventor(s)

Vamsi K. Vankamamidi of Hopkinton MA (US)

Ajay Karri of South Grafton MA (US)

TECHNIQUES FOR COLLECTING AND UTILIZING ACTIVITY METRICS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240111429 titled 'TECHNIQUES FOR COLLECTING AND UTILIZING ACTIVITY METRICS

Simplified Explanation

The patent application describes a system for determining the read and write temperatures of virtual blocks in a multi-tiered system based on the activity and frequency of read misses and overwrites.

  • Virtual blocks (vlbs) in a multi-tiered system have read and write temperatures determined based on read misses and overwrites.
  • Read temperature describes read activity relative to recency and frequency of read misses.
  • Write temperature describes write activity relative to recency and frequency of overwrites.
  • Read misses and overwrites are recorded per processing core in an active tablet used for recording by only a single core.
  • Active and analytic tablet sets across cores can be switched based on criteria.
  • Analytic tablets are processed to update metrics, including read and write temperatures stored for vlbs.
  • Metrics are used to determine temperature classifications of vlbs, which can be used to promote or demote content referenced by vlbs.

Potential Applications

The technology can be applied in data storage systems, caching mechanisms, and memory management systems to optimize read and write activities based on temperature classifications of virtual blocks.

Problems Solved

This technology solves the problem of inefficient data access and storage management by dynamically adjusting the promotion and demotion of content based on read and write activities.

Benefits

The benefits of this technology include improved system performance, reduced latency in data access, optimized storage utilization, and enhanced overall system efficiency.

Potential Commercial Applications

Potential commercial applications of this technology include cloud computing services, database management systems, content delivery networks, and any system requiring efficient data storage and access management.

Possible Prior Art

One possible prior art could be systems that use temperature-based algorithms for data caching and storage management, but the specific method of determining read and write temperatures for virtual blocks in a multi-tiered system may be novel in this patent application.

Unanswered Questions

How does the system handle concurrent read and write operations on the same virtual block?

The patent application does not provide details on how the system manages concurrent read and write operations on the same virtual block and whether it affects the temperature classifications.

Are there any limitations to the scalability of this system in large-scale data storage environments?

The patent application does not address the potential limitations or challenges in scaling this system for use in large-scale data storage environments and whether it can efficiently handle the increased workload.


Original Abstract Submitted

in a multi-tiered system, read temperature and write temperature per virtual block (vlb) can be determined based on the content referenced by each vlb. the read temperature can describe vlb read activity relative to the recency and frequency of read misses of content referenced by the vlb. the write temperature can describe vlb write activity relative to the recency and frequency of overwrites with respect to content referenced by the vlb. read misses and overwrites can be recorded per processing core in an active tablet used for recording by only a single core. active and analytic tablet sets across cores can be switched based on criteria. analytic tablets can be processed and used to update metrics, including read and write temperatures, stored for vlbs. the metrics can be used to determine temperature classifications of vlbs. content referenced by vlbs can be promoted and/or demoted using vlb temperature classifications.