Suboptimal codon pairs trigger ribosome collisions and cellular quality control responses in tRNA modification mutants. [PDF]
Wu J +13 more
europepmc +1 more source
A Multi‐Layered Analysis of Energy Consumption in Spark
ABSTRACT Although energy has become a major concern in data processing systems, it is usually hard to get a deep understanding of how performance and energy consumption relate to each other when planning how to configure a computing environment to execute a specific data‐oriented workload.
Nestor D. O. Volpini +2 more
wiley +1 more source
Unreliable M [X]/G(P1,P2)/1 feedback retrial queues with combined working vacation. [PDF]
S B, M C S.
europepmc +1 more source
Stall‐Free Asynchronous State Repartitioning With a Proactive Workload Tracking Window
ABSTRACT High‐throughput stateful applications rely on dynamic data repartitioning to adapt to changing workloads, but this process presents significant challenges. This paper provides a detailed analysis of such challenges, drilling down into the tradeoffs between adaptation, computational overhead, and service availability. We identify that a primary
Douglas Pereira Luiz +1 more
wiley +1 more source
Data Analytics and Administrative Decision-Making in Nursing Management: A Systematic Review. [PDF]
Darach N +3 more
europepmc +1 more source
ABSTRACT Task‐based programming interfaces introduce a paradigm in which computations are decomposed into fine‐grained units of work known as “tasks”. StarPU is a runtime system originally developed to support task‐based parallelism on on‐premise heterogeneous architectures by abstracting low‐level hardware details and efficiently managing resource ...
Vanderlei Munhoz +5 more
wiley +1 more source
Multi-objective layout optimization of hospital outpatient clinics based on NSGA II. [PDF]
Zhao Y, Gu J.
europepmc +1 more source
Transient Solution of a Two Homogeneous Servers Markovian Queueing System with Environmental, Catastrophic and Restoration Effects [PDF]
Darvinder Kumar, Gulab Singh Bura
openalex +1 more source
Framework for Task Offloading in O‐RAN Architecture for Heterogeneous Computing Applications
This work proposes a task offloading framework in ORAN architecture, optimizing computational assignment across user devices, edge cloud, and regional cloud. By efficiently selecting processing nodes and allocating computational and radio resources, it minimizes delay while accommodating diverse latency requirements for gold, silver, and bronze‐tier ...
Samira Taheri +3 more
wiley +1 more source

