Kostas Katrinis

TL;DR: This paper provides an initial task-focused taxonomy for HPC technologies, which covers both programming interfaces and runtime mechanisms and demonstrates the usefulness of the taxonomy by classifying state-of-the-art task-based environments in use today.

TL;DR: The algorithm integrates two new techniques: i) a utility-based model using the rate-distortion function as the application utility measure for optimizing the overall video quality; and ii) a two-timescale approach of rate averages to satisfy both media and TCP-friendliness.

TL;DR: In this paper, the authors propose a highly modular software-defined architecture for the next generation datacentre, where SoC-based microservers, memory modules and accelerators are placed in separated modular server trays interconnected via a high-speed, low-latency opto-electronic system fabric, and be allocated in arbitrary sets, as driven by fit-for-purpose resource/power management software.

TL;DR: MiceTrap is proposed, an OpenFlow-based TE approach targeting datacenter mice flows that employs scalability against the number of mice flows through flow aggregation, together with a software-configurable weighted routing algorithm that offers improved load balancing for mice flows.

TL;DR: A system that reduces the skew impact of the communication-heavy phase of MapReduce by transparently predicting data communication volume at runtime and mapping the many end-to-end flows among the various processes to the underlying network, using emerging software-defined networking technologies to avoid hotspots in the network is presented.