Predictable Data Centers (PDC)

Predictable Data Centers (PDC)

Established: September 1, 2010

Performance predictability is a key requirement for high-performant applications in today’s multi-tenant datacenters. Online services running in infrastructure datacenters need such predictability to satisfy applications SLAs. Cloud datacenters require guaranteed performance to bound customer costs and spur adoption. However, the network and storage stack used in today’s datacenters is unaware of such application requirements. This projects examines how to enable preditable datacenters.

Performance predictability is a key requirement for high-performant applications in today’s multi-tenant data centers. Online services running in infrastructure data centers need such predictability to satisfy application SLAs. Cloud data centers require guaranteed performance to bound customer costs and spur adoption. However, several components of today’s datacenters are at odds with such high-level application SLAs.

The Predictable Data Centers (PDC) project tackles the issue of unpredictable application performance in data centers. A key contributor to such unpredictability is shared resources like network and storage. The bandwidth across the cloud network and to the cloud storage service can vary significantly. To address this, we are designing a predictable data center architecture that offers performance SLAs across shared resources. Efforts like Oktopus, D3 and Hadrian enable a predictable network. More recently, we have been working on predictable storage. We have designed IOFlow, a software-defined storage architecture that enables performance SLAs across shared storage.

Projects

IOFlowIOFlow

Software-defined storage

 

Hadrian

Hadrian

Network Sharing in Multi-tenant Data Centers

 

Bazaar

Bazaar

Bridging the Tenant-Provider Gap in Cloud Services

 

Oktopus

Oktopus

Towards Predictable Datacenter Networks

 

D3

D3

Meeting Deadlines in Data Center Networks

 

External Collaborators
  •  Virajith Jalaparti (UIUC)
  • Changhoon Kim (MS Azure)
  • Christo Wilson (Northeastern University)

People

Publications