Resource management in a cloud environment is a hard problem, due to: the scale of
modern data centers; the heterogeneity of resource types and their interdependencies; the …

Despite the evolution and enhancements that mobile devices have experienced, they are
still considered as limited computing devices. Today, users become more demanding and …

We introduce ChronoStream, a distributed system specifically designed for elastic stateful
stream computation in the cloud. ChronoStream treats internal state as a first-class citizen …

Handheld mobile devices have evolved from simple voice communication devices to
general purpose devices capable of executing complex applications. Despite this evolution …

Mobile applications, such as augment reality, natural language processing, object
recognition and multimedia-based services, are becoming increasingly ubiquitous and can …

Developers are always on the lookout for simple solutions to manage their applications on
cloud platforms. Major cloud providers have already been offering automatic elasticity …

Cloud computing has made the resources needed to execute large-scale in-memory
distributed computations widely available. Specialized programming models, eg …

An important class of applications computes on long-running or infinite streams of data, often
with known fixed data rates. The latter is referred to as synchronous data flow~(SDF) …

We examine the elastic scaling of Deep Learning (DL) jobs and propose a novel resource
allocation strategy for DL training jobs, resulting in improved job run time performance as …

Geo-replication is essential in reliable large-scale cloud applications. We argue that existing
replication solutions are too rigid to support today's diversity of data consistency and …