Video streaming has become the most common application in handhelds and this trend is
expected to grow in future to account for about 75% of all mobile data traffic by 2021. Thus …

Modern stream-data processing platforms are required to execute processing pipelines over
high-volume, yet high-velocity, datasets under tight latency constraints. Apache Flink has …

Power-aware computing is becoming popular using heterogeneous ecosystem. For recent
execution units, the heterogeneity is exhibited via the hybrid cores, as well as via virtual and …

Short-term cache allocation grants and then revokes access to processor cache lines
dynamically. For online services, short-term allocation can speed up targeted query …

Devising an elastic resource allocation controller of data analytical applications in virtualized
data-center has received a great attention recently, mainly due to the fact that even a slight …

As studied in literatures, Computational Sprinting (CS) is a promising technique to tackle the
thermal challenge for Chip Multi-Processors (CMPs) in dark silicon era. Sprinting pattern, the …

Technologies that improve the performance of parallel applications by increasing the
nominal operating frequency of processors respecting a given TDP (Thermal Design Power) …

Co-location of processing infrastructure and IoT devices at the edge is used to reduce
response latency and long-haul network use for IoT applications. As a result, edge clouds for …

Ever tightening power caps constrain the sustained processing speed of modern
processors. With computational sprinting, processors reserve a small power budget that can …

The convergence of real-time embedded systems, wireless sensor networks, and machine
learning, has fueled the rapid development of the Internet of Things (IoT), engendering new …