Results 181 to 190 of about 106,211 (332)

Deadline-aware and energy-efficient IoT task scheduling in fog computing systems: A semi-greedy approach

, 2022
Sadoon Azizi, Mohammad Shojafar, Jemal Abawajy, Rajkumar Buyya   +3 more
openalex   +2 more sources

SLA aware deep reinforcement learning for adaptive EdgeCloud task scheduling. [PDF]

Sci Rep
Yamsani N, P CR.
europepmc   +1 more source

Scheduling od hard real- time periodic systems with various kinds of deadline and offset constraints

, 1999
Joël Goossens, Raymond Devillers
openalex   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

A bi-level mobility-aware deep reinforcement learning approach for fault-tolerant task offloading in vehicular edge-cloud computing. [PDF]

Sci Rep
Babaiyan V, Bushehrian O, Javidan R.
europepmc   +1 more source

An IoT-based task scheduling optimization scheme considering the deadline and cost-aware scientific workflow for cloud computing [PDF]

, 2019
Xiaojin Ma, Honghao Gao, Huahu Xu, Minjie Bian   +3 more
openalex   +1 more source

Awareness–Action and Policy Acceptability in Mitigating Greenhouse Gas Emissions: Key Stakeholders in Germany's Cattle Dairy and Meat Chains

Australian Journal of Agricultural and Resource Economics, EarlyView.
ABSTRACT This paper presents a systematic literature review and targeted searches to define a synthesis framework mapping the awareness–action gap, progression along the awareness–action continuum and policy acceptability in greenhouse gas (GHG) emissions mitigation among key stakeholders in Germany's cattle dairy and meat chains.
Karen Arcia, Livia Cerini, Stephan von Cramon‐Taubadel   +2 more
wiley   +1 more source

Greedy and Dynamic Programming Algorithms for Scheduling Deadline-Sensitive Parallel Tasks.

, 2015
Patrick Loiseau, Xiaohu Wu
openalex   +1 more source

Autonomic scheduling of deadline-constrained bag of tasks in hybrid clouds

, 2016
Víctor M. Peláez, Antonìo Campos, Daniel F. García, Joaquín Entrialgo   +3 more
openalex   +2 more sources

Comparing the success and failure of the Murray–Darling Basin Plan's water recovery programs

Australian Journal of Public Administration, EarlyView.
Abstract The Murray–Darling Basin (MDB) Plan is held up by some as an exemplar for world‐leading water policy, whilst others have called it a failure. Total proposed recovery was to return 3200 GL of consumptive (e.g. namely irrigation) water use to non‐consumptive (e.g.
Sarah Ann Wheeler
wiley   +1 more source