Data aggregation can reduce the data transmission between the nodes, and thus save the
energy and extend the life of the network. Many related researches on in-network data …

Recent trends led to higher data volumes to be transferred and processed over the network.
Legacy routing protocols, eg, OSPF for intra-domain routing, send data from a source to …

To capitalize on multicore power, modern high-speed data transfer applications usually
adopt multi-threaded design and aggregate multiple network interfaces. However, NUMA …

The layout-aware data scheduling (LADS) data movement framework optimizes congestion
for end-to-end data transfers. During data transfer, LADS can avoid congested storage …

Computational science simulations produce huge volumes of data for scientific research
organizations. Often, this data is shared by data centers distributed geographically for …

The scale of scientific data generated by experimental facilities and simulations in high-
performance computing facilities has been proliferating with the emergence of IoT-based big …

Various scientific research organizations generate several petabytes of data per year
through computational science simulations. These data are often shared by geographically …

Various components are involved in the end-to-end path of data transfer. Protecting data
integrity from failures in these intermediate components is a key feature of big data transfer …

Ceph, an object-based distributed storage system, has a communication subsystem called
Async messenger. In the Async messenger, a worker thread in the thread pool is assigned to …

Process orientation within companies is widely acknowledged to deal with modern business
challenges. However, business processes usually run across many departments, creating …