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Publications associées (32)
Channel-Aware 5G RAN Slicing with Customizable Schedulers
This paper focuses on 5G RAN slicing, where the 5G radio resources must be divided across slices (or enterprises) so as to achieve high spectrum efficiency, fairness and isolation across slices, and the ability for each slice to customize how the radio res ...
USENIX ASSOC2023Enabling inter-area reserve exchange through stable benefit allocation mechanisms *
Maryam Kamgarpour, Gabriela Hug, Orcun Karaca
The establishment of a single European day-ahead market has accomplished the integration of the regional day-ahead markets. However, reserve provision and activation remain an exclusive responsibility of regional operators. This limited spatial coordinatio ...
PERGAMON-ELSEVIER SCIENCE LTD2022Content Based Status Updates
Emre Telatar, Elie Najm, Rajai Nasser
Consider a stream of status updates generated by a source, where each update is of one of two types: high priority or ordinary (low priority). These updates are to be transmitted through a network to a monitor. However, the transmission policy of each pack ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020Task scheduling for highly concurrent analytical and transaction workloads
Anastasia Ailamaki, Iraklis Psaroudakis
Systems and method for a task scheduler with dynamic adjustment of concurrency levels and task granularity are disclosed for improved execution of highly concurrent analytical and transactional systems. The task scheduler can avoid both over commitment and ...
2020Improving Main-memory Database System Performance through Cooperative Multitasking
Database systems access memory either sequentially or randomly. Contrary to sequential access and despite the extensive efforts of
computer architects, compiler writers, and system builders, random access to data larger than the processor cache has been s ...
EPFL2019Exploiting Flow Graph of System of ODEs to Accelerate the Simulation of Biologically-Detailed Neural Networks
Felix Schürmann, Michael Lee Hines, Bruno Ricardo Da Cunha Magalhães
Exposing parallelism in scientific applications has become a core requirement for efficiently running on modern distributed multicore SIMD compute architectures. The granularity of parallelism that can be attained is a key determinant for the achievable ac ...
IEEE2019