Recent demands for storing and querying big data have revealed various shortcomings of
traditional relational database systems. This, in turn, has led to the emergence of a new kind …

Wi-Fi based fingerprinting systems, mostly utilize the Received Signal Strength Indicator
(RSSI), which is known to be unreliable due to environmental and hardware effects. In this …

Renewable energy is becoming an important power source for data centers, especially with
the zero-carbon waste pledges made by big cloud providers. However, one of the main …

Causal consistency is an intermediate consistency model that can be achieved together with
high availability and high-performance requirements even in presence of network partitions …

Transactional Causal Consistency (TCC) extends causal consistency, the strongest
consistency model compatible with availability, with interactive read-write transactions, and …

Eventual consistency is a popular consistency model for geo-replicated data stores.
Although eventual consistency provides high performance and availability, it can cause …

Today, many applications offload computation and storage to the cloud. Unfortunately, the
high network latency between clients and datacenters can impair novel, latency-constrained …

The current causal consistency model has trouble facing the high synchronization
overheads and response delays found in cloud storage systems. This paper proposes a …

Confidence measures play a key role in spoken term detection (STD) tasks. The confidence
measure expresses the posterior probability of the search term appearing in the detection …

Several distributed services ranging from key‐value stores to cloud storage require fault‐
tolerance and reliability features. For enabling fast recovery and seamless transition, primary …