Examples of well-known static offline scheduling algorithms are the Heterogeneous Earliest Finish Time (HEFT) [8] and the Dynamic Critical Path (DCP) [2]. A semi-static algorithm with periodic rescheduling is presented by Kwok et al. in [38]. Lucchese et al. present a semi-static algorithm...
Some examples of multi-objective optimization scheduling algorithms used in Kubernetes include genetic algorithms, Ant Colony Optimization, and particle swarm optimization. These algorithms can help optimize different objectives, such as response time, resource utilization, energy consumption, and other factors...
Parameters of the algorithms are tuned by an optimization problem and then all algorithms are compared by numerical examples. The achieved results demonstrate the validity of the model and the efficient performance of the proposed algorithms against exact methods. These algorithms also lead to better ...
In addition, QoS-aware scheduling algorithms should be concerned with the mutual interactions among applications deployed on the same server and load balancing[41]. Scheduling approaches focusing on multi-tenant, instance-intensive workflows should consider three other aspects: (1) the quality of ...
with a mathematical formulation. The solution algorithms are presented in Section 3, and Section 4 reports the results of computational experiments. Finally, Section 5 summarizes the main results, gives the conclusions, and describes the limitations as well as some areas for further ...
These interval-hitting problems are conceptually easier to deal with than their discrete counterparts. As we show, some algorithms for interval-hitting problems extend to their corresponding gap scheduling problems, while for other these discrete variants require different techniques. ...
Chapter2–Scheduling ZhangYangFall2010 Contentofthislecture WhatisScheduling?ClassificationofSchedulingActivityProcessBehaviorWhentoSchedule?SchedulingAlgorithms WhatisScheduling? Decidingwhichprocess/threadshouldoccupytheresource(CPU,disk,etc)(CPU(horsepower))Iwanttorideit Whoseturnisit?Process1...
Nonlinear Programming Theory and Algorithms 3rd Edition非线性规划理论与算法第三版 RICHARD DURRETT, PROBABILITY:THEORY AND EXAMPLES, 3RD ED. (2003) Discrete Dynamical Systems and Chaotic Machines- Theory and Applications Information Theory, Inference, and Learning Algorithms(1).pdf A First Course in Cha...
To evaluate the validity of the proposed algorithm, the experiments have been conducted utilizing different test cases in four parts. First of all, according to the standard test set established in Kacem59, we use eight small-scale cases to compare with other algorithms17,32,60,61in “Small ...
We argue that algorithms generated by this framework retain many of the desirable characteristics of BEDS while being compatible with a wide range of objectives and constraints. PDF Paper record Setting Publication Post-Op Unit Objective Modeling Method Non-stationary Inputs Reported Implementation master...