DeepAI AI Chat
Log In Sign Up

Understanding the Performance of Ceph Block Storage for Hyper-Converged Cloud with All Flash Storage

by   Moo-Ryong Ra, et al.

Hyper-converged cloud refers to an architecture that an operator runs compute and storage services on the same set of physical servers. Although the hyper-converged design comes with a number of benefits, it makes crucial operational tasks, such as capacity planning and cost analysis, fairly complicated. The problem becomes more onerous if we consider a complex distributed system, such as Ceph, for the cloud with the proliferation of SSD drives. In this paper, we aim to answer some of these questions based on comprehensive microbenchmarks, and consequently better understand the behavior of Ceph in a hyper-converged cloud with all-flash storage. We reported our findings based on the study, devised a cost model and compared the cost of hyper-converged architecture with dedicated storage architecture. Additionally we summarized our experience based on the interactions with many teams at AT&T in the past couple of years.


page 3

page 4


Complying with Data Handling Requirements in Cloud Storage Systems

In past years, cloud storage systems saw an enormous rise in usage. Howe...

An In-Depth Comparative Analysis of Cloud Block Storage Workloads: Findings and Implications

Cloud block storage systems support diverse types of applications in mod...

Towards Decentralised Cloud Storage with IPFS: Opportunities, Challenges, and Future Directions

The InterPlanetary File System (IPFS) is a novel decentralised storage a...

A Penny a Function: Towards Cost Transparent Cloud Programming

Understanding and managing monetary cost factors is crucial when develop...

IceCube experience using XRootD-based Origins with GPU workflows in PNRP

The IceCube Neutrino Observatory is a cubic kilometer neutrino telescope...

Building Reliable Cloud Services Using P# (Experience Report)

Cloud services must typically be distributed across a large number of ma...

Accelerating Transfer Learning with Near-Data Computation on Cloud Object Stores

Near-data computation techniques have been successfully deployed to miti...