Tootfinder

WANify: Gauging and Balancing Runtime WAN Bandwidth for Geo-distributed Data Analytics
Anshuman Das Mohapatra, Kwangsung Oh
https://arxiv.org/abs/2508.12961 https://

WANify: Gauging and Balancing Runtime WAN Bandwidth for Geo-distributed Data Analytics
Accurate wide area network (WAN) bandwidth (BW) is essential for geo-distributed data analytics (GDA) systems to make optimal decisions such as data and task placement to improve performance. Existing GDA systems, however, measure WAN BW statically and independently between data centers (DCs), while data transfer occurs dynamically and simultaneously among DCs during workload execution. Also, they use a single connection WAN BW that cannot capture actual WAN capacities between distant DCs. Such…

Replaced article(s) found for physics.med-ph. https://arxiv.org/list/physics.med-ph/new
[1/1]:
- Cerebral blood flow monitoring using a deep learning implementation of the two-layer DCS analytic...
Pan, Li, Zhang, Mollins, Wang, Erdogan, Hua, Zang, Finlayson, Henderson, Li

It's almost like POTUS is trying to distract us from something.
"Assessing DC's Violent Crime Trends"
https://open.substack.com/pub/jasher/p/assessing-dcs-violent-crime-trends

Axial quasi-normal modes of slowly rotating black holes in dynamical Chern-Simons gravity to second-order in spin and coupling
Tharaka Alapati (IIT Bombay), S. Shankaranarayanan (IIT Bombay)
https://arxiv.org/abs/2506.03600

Axial quasi-normal modes of slowly rotating black holes in dynamical Chern-Simons gravity to second-order in spin and coupling
We compute the quasi-normal mode (QNM) frequencies of slowly rotating black holes in dynamical Chern-Simons (dCS) gravity, including corrections up to second order in the black hole's dimensionless spin parameter ($χ$) and second order in the dCS coupling parameter ($α$). Due to the complexities of constructing a Newman-Penrose tetrad at this order, we employ a metric perturbation approach. We derive a system of coupled ordinary differential equations for the primary axial $l$-mode and the po…

Tetris: Efficient Intra-Datacenter Calls Packing for Large Conferencing Services
Rohan Gandhi, Ankur Mallick, Ken Sueda, Rui Liang
https://arxiv.org/abs/2508.00426 https://

Tetris: Efficient Intra-Datacenter Calls Packing for Large Conferencing Services
Conference services like Zoom, Microsoft Teams, and Google Meet facilitate millions of daily calls, yet ensuring high performance at low costs remains a significant challenge. This paper revisits the problem of packing calls across Media Processor (MP) servers that host the calls within individual datacenters (DCs). We show that the algorithm used in Teams -- a large scale conferencing service as well as other state-of-art algorithms are prone to placing calls resulting in some of the MPs becom…