Adobe, Inc.

Ayush Chauhan

Atanu Ranjan Sinha

Shiv Kumar Saini

Koyel Mukherjee

Sapthotharan Krishnan Nair

Karanpreet Singh

Kavya Barnwal

Saarthak Sandip Marathe

Raunak Shah

Brahmbhatt Paresh Anand

Khushi

Manupriya Gupta

Harsh Kesarwani

In implementations of systems for cloud-based resource allocation using meters, a computing device implements a resource system to receive resource data describing an amount of cloud-based resources reserved for consumption by client devices during a period of time and a total amount of cloud-based resources consumed by the client devices during the period of time. The resource system determines a consumption distribution using each meter included in a set of meters. Each of the consumption distributions allocates a portion of the total amount of the cloud-based resources consumed to each client device of the client devices. A particular meter used to determine a particular consumption distribution is selected based on a Kendall Tau coefficient of the particular consumption distribution. An amount of cloud-based resources to allocate for a future period of time is estimated using the particular meter and an approximate Shapley value.

Cloud-based resource allocation using meters

Some techniques described herein relate to determining how to optimally store datasets in a multi-tiered storage device with compression. In one example, a method includes assigning, to a data partition of a dataset, a priority based on access patterns of the data partition. Compression data is accessed describing results of compressing a data sample associated with the data partition using multiple compression schemes. Based both on the priority of the data partition and the compression data, a storage tier is determined for storing the data partition in the multi-tiered storage device. Further, based both on the priority of the data partition and the compression data, a compression scheme is determined for compressing the data partition for storage in the multi-tiered storage device. The data partition is compressed using the compression scheme to produce a compressed data partition, and the compressed data partition is stored in the storage tier.

Optimizing storage-related costs with compression in a multi-tiered storage device

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Austin, TX, United States of America

Ayush Chauhan