Workload-aware live storage migration for clouds

Latency-Aware Live Migration for Databases

Optimal Storage Aware Caching Policies for Content-Centric Clouds

Caches in Content-Centric Networks (CCN) are increasingly adopting flash memory based storage. The current flash cache technology stores all files with the largest possible “expiry date,” i.e. the files are written in the memory so that they are retained for as long as possible. This, however, does not leverage the CCN data characteristics where content is typically short-lived and has a distin...

Dynamic service migration and workload scheduling in edge-clouds

Edge-clouds provide a promising new approach to significantly reduce network operational costs by moving computation closer to the edge. A key challenge in such systems is to decide where and when services should be migrated in response to user mobility and demand variation. The objective is to optimize operational costs while providing rigorous performance guarantees. In this paper, we model t...

Dynamic Service Migration and Workload Scheduling in Micro-Clouds

Mobile Micro-Clouds provide a promising approach to significantly improve tactical network operations by moving computation closer to the edge. A key challenge in such systems is to decide where and when services should be migrated in response to user mobility and demand variation. The objective is to optimize operational costs while providing rigorous performance guarantees. In this work, we m...

LoadIQ : Learning to Identify Workload Phases from a Live Storage

Eno Thereska began by relating some common abstractions used in today’s datastores. For example, key-value stores, file stores, and graph stores are all used to store data, but the different abstractions are often paired with certain assumptions and designs. When workloads change, we end up needing to redesign systems for a new set of assumptions. In his talk, Eno proposes the radical idea of u...