Results 21 to 30 of about 1,050 (215)
Modeling and Solution Procedure for a Preemptive Multi-Objective Multi-Mode Project Scheduling Model in Resource Investment Problems [PDF]
In this paper, a preemptive multi-objective multi-mode project scheduling model for resource investment problem is proposed. The first objective function is to minimize the completion time of project (makespan);the second objective function is to ...
Mostafa Salimi, Amir Abbas Najafi
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A Global DAG Task Scheduler Using Deep Reinforcement Learning and Graph Convolution Network
Parallelization of tasks and efficient utilization of processors are considered important and challenging in operating large-scale real-time systems.
Hyunsung Lee +4 more
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Novel Predictive Home Appliance's Management Algorithm in Smart Grids
Smart home appliances and applications are gaining popularity, due to the high level of service they provide to users. In a smart home, all electrical and smart appliances are interconnected together to form a special private network. Due to economic and
Wail Mardini +2 more
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Efficient task scheduling on the cloud is critical for optimal utilization of resources in data centers. It became even more challenging with the emergence of 5G and IoT applications that generate massive number of tasks with stringent latency ...
Zulfiqar Ali Khan +3 more
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Background. In preemptive job scheduling, total weighted tardiness minimization is commonly reduced to solving a combinatorial problem, which becomes practically intractable as the number of jobs and the numbers of their processing periods increase.
Vadym V. Romanuke
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Exact and Heuristic Algorithms for Thrift Cyclic Scheduling
Non-preemptive schedulers, despite their many discussed drawbacks, remain a very popular choice for practitioners of real-time and embedded systems. The non-preemptive ‘thrift’ cyclic scheduler—variations of which can be found in other application areas ...
Michael J. Short
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Big data is generated from various sources, such as the Internet of things, social media, databases, wearables, smart cars, and so on, and is characterized by five V’s: volume, value, variety, velocity, and veracity.
Mohammad Bigdeli +3 more
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Mixed-Criticality (MC) systems have to guarantee the timely execution of high-criticality tasks even under adversarial processor conditions. Prior work addresses preemptive scheduling, leaving the NP hard, non-preemptive scheduling problem unexplored ...
Muhammad ElMahdy +2 more
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A dynamic load scheduling in IaaS cloud using binary JAYA algorithm
Datacenters receive dynamic workloads with disparate specifications to be scheduled on virtual machines (VMs). These unpredictable, alarmingly growing workloads with varying resource specifications may bring down the servers of datacenters into an ...
Kaushik Mishra +2 more
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New procedures with new activity assumptions for solving resource constrained project scheduling problems [PDF]
The resource-constrained project scheduling problem (RCPSP) is a well-known and widely studied topic. The underlying problem assumes that non-preemptions and that constant resources are restrictions imposed on project activities, which are to be ...
Samer Ben Issa, Yiliu Tu
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