Volley: Automated Data Placement for Geo-Distributed Cloud Services

: As cloud services grow to span more and more globally distributed datacenters, there is an increasingly urgent need for automated mechanisms to place application data across these datacenters. This placement must deal with business constraints such as WAN bandwidth costs and datacenter capacity limits, while also minimizing user-perceived latency. The task of placement is further complicated by the issues of shared data, data inter-dependencies, application changes and user mobility. We document these challenges by analyzing monthlong traces from Microsoft's Live Messenger and Live Mesh, two large-scale commercial cloud services. We present Volley, a system that addresses these challenges. Cloud services make use of Volley by submitting logs of datacenter requests. Volley analyzes the logs using an iterative optimization algorithm based on data access patterns and client locations, and outputs migration recommendations back to the cloud service. To scale to the data volumes of c...

• Type: Conference
• Year: 2010
• Where: NSDI
• Authors: Sharad Agarwal, John Dunagan, Navendu Jain, Stefan Saroiu, Alec Wolman
• Keywords: Cloud Service, Computer Networks, Datacenter Capacity, Datacenter Capacity Limits, NSDI 2010