Key-value (KV) stores based on multi-stage structures are widely deployed in the cloud to
ingest massive amounts of easily searchable user data. However, current KV storage …

Internet services access networked storage many times while processing a request. Just a
few slow storage accesses per request can raise response times a lot, making the whole …

Storing data close to where it is used improves the performance of cloud applications.
However, data access patterns change dynamically over time. Many datastores statically …

As one database offloading strategy, elastic key-value stores are often introduced to speed
up the application performance with dynamic scalability. Since the workload is varied …

Edge computing enables application services to leverage low-latency responses. This paper
describes the design of infrastructure-as-a-service for edge computing (EC-IaaS) to realize …

To provide low latency and high throughput guarantees, most large key-value stores keep
the data in the memory of many servers. Despite the natural parallelism across lookups, the …

Key-value (KV) stores based on the LSM tree have become a foundational layer in the
storage stack of datacenters and cloud services. Current approaches for achieving reliability …

In the current era of technology, computers have shrinked to the point that more than half of
the world population always carries one with them-their mobile devices. These are used in …

Mobile edge computing (MEC) literally pushes cloud computing from remote datacenters to
the life radius of end users. By leveraging the widely adopted European …

In this paper, we describe how we extended a distributed key-value store called Anna into
an autoscaling, multi-tier service for the cloud. In its extended form, Anna is designed to …