Cloud computing provides on-demand access to affordable hardware (such as multicore
CPUs, GPUs, disk drives, and networking equipment) and software (databases, application …

Major cloud computing operators provide powerful monitoring tools to understand the
current (and prior) state of the distributed systems deployed in their infrastructure. While …

Incremental and approximate computations are increasingly being adopted for data
analytics to achieve low-latency execution and efficient utilization of computing resources …

In the Infrastructure-as-a-Service (IaaS) cloud computing market, spot instances refer to
virtual servers that are rented via an auction. Spot instances allow IaaS providers to sell …

PrivApprox: Privacy-Preserving Stream Analytics Page 1 This paper is included in the
Proceedings of the 2017 USENIX Annual Technical Conference (USENIX ATC ’17). July 12–14 …

When organizations move computation to the cloud, they must choose from a myriad of
cloud services that can be used to outsource these jobs. The impact of this choice on price …

Approximate computing aims for efficient execution of workflows where an approximate
output is sufficient instead of the exact output. The idea behind approximate computing is to …

The rapid increase in heterogeneity, scale and diversity of cloud resources and services
leads to a growing-up complexity in their management and control. The development of new …

Data provenance strives for explaining how the computation was performed by recording a
trace of the execution. The provenance trace is useful across a wide-range of workflows to …

Cloud Computing is emerging today as a service model used to relocate locally-based data
and applications to virtualized services available via Internet at a lower cost. A key to exploit …