Results 281 to 290 of about 3,971,753 (362)
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Energy Utilization Task Scheduling for MapReduce in Heterogeneous Clusters
IEEE Transactions on Services Computing, 2022Nowadays, energy costs are the most important factor in cloud computing. Therefore, the implementation of energy-aware task scheduling methods is of utmost importance.
Jia Wang +4 more
semanticscholar +1 more source
IEEE Transactions on Mobile Computing
In an edge-cloud cooperative computing network, the task offloading performance can be further improved by the edge-cloud and edge-edge cooperation, in which the tasks can be offloaded from an edge server to the cloud server or another edge server.
Wenhao Fan +6 more
semanticscholar +1 more source
In an edge-cloud cooperative computing network, the task offloading performance can be further improved by the edge-cloud and edge-edge cooperation, in which the tasks can be offloaded from an edge server to the cloud server or another edge server.
Wenhao Fan +6 more
semanticscholar +1 more source
Proportional Fairness-Aware Task Scheduling in Space-Air-Ground Integrated Networks
IEEE Transactions on Services ComputingSpace-Air-Ground Integrated Networks (SAGIN) is considered as the key structure of the next generation network. The space satellites and air nodes are potential candidates to assist and offload the computing tasks.
Gang Sun +3 more
semanticscholar +1 more source
Biobjective Task Scheduling for Distributed Green Data Centers
IEEE Transactions on Automation Science and Engineering, 2021The industry of data centers is the fifth largest energy consumer in the world. Distributed green data centers (DGDCs) consume 300 billion kWh per year to provide different types of heterogeneous services to global users.
Haitao Yuan +4 more
semanticscholar +1 more source
Scheduling independent multiprocessor tasks
Algorithmica, 1997zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Amoura, A. K. +3 more
openaire +1 more source
SIAM Journal on Discrete Mathematics, 1997
Summary: Scheduling a set of tasks on a set of machines so as to yield an efficient schedule is a basic problem in computer science and operations research. Most of the research on this problem incorporates the potentially unrealistic assumption that communication between the different machines is instantaneous.
Phillips, Cynthia +2 more
openaire +2 more sources
Summary: Scheduling a set of tasks on a set of machines so as to yield an efficient schedule is a basic problem in computer science and operations research. Most of the research on this problem incorporates the potentially unrealistic assumption that communication between the different machines is instantaneous.
Phillips, Cynthia +2 more
openaire +2 more sources
Multifunction Radar: Task Scheduling
Journal of Mathematical Modelling and Algorithms, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Duron, Cyril, Proth, Jean-Marie
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Dependency-Aware Task Scheduling in Vehicular Edge Computing
IEEE Internet of Things Journal, 2020Vehicular edge computing (VEC) offers a new paradigm to improve vehicular services and augment the capabilities of vehicles. In this article, we study the problem of task scheduling in VEC, where multiple computation-intensive vehicular applications can ...
Yujiong Liu +6 more
semanticscholar +1 more source
Scheduling Multiprocessor Tasks to Minimize Schedule Length
IEEE Transactions on Computers, 1986The problem considered in this paper is the deterministic scheduling of tasks on a set of identical processors. However, the model presented differs from the classical one by the requirement that certain tasks need more than one processor at a time for their processing. This assumption is especially justified in some microprocessor applications and its
Błażewicz, Jacek +2 more
openaire +2 more sources
2011
In many real-time control applications, periodic activities represent the major computational demand in the system. Periodic tasks typically arise from sensory data acquisition, low-level servoing, control loops, action planning, and system monitoring.
openaire +1 more source
In many real-time control applications, periodic activities represent the major computational demand in the system. Periodic tasks typically arise from sensory data acquisition, low-level servoing, control loops, action planning, and system monitoring.
openaire +1 more source

