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Performance Evaluation, 1981
Scheduling disciplines have traditionally been specified in terms of queues and algorithms for routing jobs between the queues. Alternatively, a discipline may be formally defined by a policy function, a function of job and system parameters. A policy function scheduler is a parameterized scheduler that - when supplied with a specific policy function -
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Scheduling disciplines have traditionally been specified in terms of queues and algorithms for routing jobs between the queues. Alternatively, a discipline may be formally defined by a policy function, a function of job and system parameters. A policy function scheduler is a parameterized scheduler that - when supplied with a specific policy function -
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Non-clairvoyantly Scheduling to Minimize Convex Functions
Algorithmica, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fox, Kyle +3 more
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Productivity Scheduling Method: Linear Schedule Analysis with Singularity Functions
Journal of Construction Engineering and Management, 2009This paper describes a new integrated method of linear schedule analysis using singularity functions. These functions have previously been used for structural analysis and are newly applied to scheduling. Linear schedules combine information on time and amount of work for each activity.
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Scheduling with Deadlines and Loss Functions
Management Science, 1959The problem of this paper is that of scheduling several one-stage tasks on several processors, which are capable of handling the tasks with varying degrees of efficiency, to minimize the total loss, which is a sum of losses associated with the individual tasks.
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Scheduling jobs with general learning functions
Journal of Systems Science and Systems Engineering, 2011This paper deals with single-machine scheduling problems with a more general learning effect based on sum-of-processing-time. In this study, sum-of-processing-time-based learning effect means that the processing time of a job is defined by a decreasing function of the total normal processing time of jobs that come before it in the sequence.
Li-Yan Wang +3 more
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Online Scheduling with General Cost Functions
SIAM Journal on Computing, 2012We consider a general online scheduling problem where the goal is to minimize $\sum_j w_j g(F_j)$, where $w_j$ is the weight/importance of job $J_j$, $F_j$ is the flow time of the job in the schedule, and $g$ is an arbitrary nondecreasing cost function. Numerous natural scheduling objectives are special cases of this general framework. We show that the
Sungjin Im, Benjamin Moseley, Kirk Pruhs
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An Analytical Treatment of Policy Function Schedulers
Operations Research, 1978This paper presents an analysis of time-sharing computer facilities using scheduling algorithms defined in terms of priority functions. We consider the class of algorithms in which a job's priority is defined by the difference between the time it spent in the system and an arbitrary function F of its attained service, where F is called the policy ...
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Single-machine scheduling with learning functions
Applied Mathematics and Computation, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, Ji-Bo, Wang, Dan, Zhang, Guo-Dong
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Package-Aware Scheduling of FaaS Functions
Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018We consider the problem of scheduling small cloud functions on serverless computing platforms. Fast deployment and execution of these functions is critical, for example, for microservices architectures. However, functions that require large packages or libraries are bloated and start slowly.
Cristina L. Abad +2 more
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Schedule-induced ethanol polydipsia: Function of ethanol concentration
Pharmacology Biochemistry and Behavior, 1980Rats were maintained in cages with automatic food dispensers that provided a 24 hr feeding regimen known to produce schedule-induced ethanol polydipsia. For ten days water was the only available fluid; then for 17 days either 5% or 10% ethanol replaced water. The ethanol concentrations were then switched between groups for a final 13 days.
T A, Roehrs, H H, Samson
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