In this paper we present PEAS, a robust energy-conserving protocol that can build long-
lived, resilient sensor networks using a very large number of small sensors with short battery …

This paper proposes a Geo-distributed key-value datastore, named ChainReaction, that
offers causal+ consistency, with high performance, fault-tolerance, and scalability …

Classical approaches to performance prediction rely on two, typically antithetic, techniques:
Machine Learning (ML) and Analytical Modeling (AM). ML takes a black box approach …

In this article we introduce GMU, a genuine partial replication protocol for transactional
systems, which exploits an innovative, highly scalable, distributed multiversioning scheme …

In this paper we investigate the issue of automatically identifying the “natural” degree of
parallelism of an application using software transactional memory (STM), ie, the workload …

Processing-In-Memory (PIM) is a novel approach that augments existing DRAM memory
chips with lightweight logic. By allowing to offload computations to the PIM system, this …

Automatic parallelization for clusters is a promising alternative to time-consuming, error-
prone manual parallelization. However, automatic parallelization is frequently limited by the …

We present HyFlow---a distributed software transactional memory (D-STM) framework for
distributed concurrency control. HyFlow is a Java framework for D-STM, with pluggable …

One of the main challenges to harness the potential of Cloud computing is the design of
programming models that simplify the development of large-scale parallel applications and …

We propose a novel algorithm for hybrid transactional replication (HTR) of highly
dependable services. It combines two schemes: a transaction is executed either …