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相关论文: Non-Asymptotic Performance Analysis of Size-Based …

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We obtain asymptotic bounds for the tail distribution of steady-state waiting time in a two server queue where each server processes incoming jobs at a rate equal to the rate of their arrivals (that is, the half-loaded regime). The job…

概率论 · 数学 2016-04-05 Jose Blanchet , Karthyek Murthy

We consider the problem of scheduling to minimize mean response time in M/G/1 queues where only estimated job sizes (processing times) are known to the scheduler, where a job of true size $s$ has estimated size in the interval $[\beta s,…

性能 · 计算机科学 2022-03-25 Ziv Scully , Isaac Grosof , Michael Mitzenmacher

We study the asymptotic response time tail in the M/G/n multi-server queue with heavy-tailed (regularly varying) job sizes, a setting representative of modern computing workloads. For single-server systems, tail optimization is well…

性能 · 计算机科学 2026-05-14 Zhouzi Li , Mor Harchol-Balter , Alan Scheller-Wolf

We consider the stochastic scheduling problem of minimizing the expected makespan on $m$ parallel identical machines. While the (adaptive) list scheduling policy achieves an approximation ratio of $2$, any (non-adaptive) fixed assignment…

离散数学 · 计算机科学 2021-06-30 Guillaume Sagnol , Daniel Schmidt genannt Waldschmidt

Dispatching systems, where arriving jobs are immediately assigned to one of multiple queues, are ubiquitous in computer systems and service systems. A natural and practically relevant model is one in which each queue serves jobs in FCFS…

性能 · 计算机科学 2024-01-30 Runhan Xie , Isaac Grosof , Ziv Scully

In large-scale distributed systems, balancing the load in an efficient way is crucial in order to achieve low latency. Recently, some load balancing policies have been suggested which are able to achieve a bounded maximum queue length in…

性能 · 计算机科学 2022-01-12 Tim Hellemans , Grzegorz Kielanski , Benny Van Houdt

For a single server system, Shortest Remaining Processing Time (SRPT) is an optimal size-based policy. In this paper, we discuss scheduling a single-server system when exact information about the jobs' processing times is not available.…

其他计算机科学 · 计算机科学 2023-01-24 Maryam Akbari-Moghaddam , Douglas G. Down

We study size-based schedulers, and focus on the impact of inaccurate job size information on response time and fairness. Our intent is to revisit previous results, which allude to performance degradation for even small errors on job size…

数据结构与算法 · 计算机科学 2014-07-28 Matteo Dell'Amico , Damiano Carra , Mario Pastorelli , Pietro Michiardi

Our interest lies in load balancing jobs in large scale systems consisting of multiple dispatchers and FCFS servers. In the absence of any information on job sizes, dispatchers typically use queue length information reported by the servers…

分布式、并行与集群计算 · 计算机科学 2021-04-16 Tim Hellemans , Benny Van Houdt

We present an analysis of large-scale load balancing systems, where the processing time distribution of tasks depends on both the task and server types. Our study focuses on the asymptotic regime, where the number of servers and task types…

概率论 · 数学 2023-06-19 Zhisheng Zhao , Debankur Mukherjee

Work sharing and work stealing are two scheduling paradigms to redistribute work when performing distributed computations. In work sharing, processors attempt to migrate pending jobs to other processors in the hope of reducing response…

分布式、并行与集群计算 · 计算机科学 2019-09-02 Benny Van Houdt

It is well known that size-based scheduling policies, which take into account job size (i.e., the time it takes to run them), can perform very desirably in terms of both response time and fairness. Unfortunately, the requirement of knowing…

性能 · 计算机科学 2019-07-11 Matteo Dell'Amico

We study the conditional sojourn time distributions of processor sharing (PS), foreground background processor sharing (FBPS) and shortest remaining processing time first (SRPT) scheduling disciplines on an event where the job size of a…

性能 · 计算机科学 2008-05-15 Predrag R. Jelenkovic , Xiaozhu Kang , Jian Tan

In this work, we are interested in studying multi-agent routing settings, where adversarial agents are part of the assignment and decision loop, degrading the performance of the fleet by incurring bounded delays while servicing…

多智能体系统 · 计算机科学 2025-04-02 Roee M. Francos , Daniel Garces , Stephanie Gil

Distributed storage systems often employ erasure codes to achieve high data reliability while attaining space efficiency. Such storage systems are known to be susceptible to long tails in response time. It has been shown that in modern…

信息论 · 计算机科学 2017-08-04 Vaneet Aggarwal , Tian Lan

We propose a mean functional which exists for any probability distributions, and which characterizes the Pareto distribution within the set of distributions with finite left endpoint. This is in sharp contrast to the mean excess plot which…

统计方法学 · 统计学 2024-04-05 Bernhard Klar

In the context of decision making under explorable uncertainty, scheduling with testing is a powerful technique used in the management of computer systems to improve performance via better job-dispatching decisions. Upon job arrival, a…

性能 · 计算机科学 2025-02-13 Jonatha Anselmi , Josu Doncel

We consider a time-slotted job-assignment system consisting of a central server, $N$ task-specific networks of machines, and multiple users. Each network specializes in executing a distinct type of task. Users stochastically generate jobs…

信息论 · 计算机科学 2026-02-03 Subhankar Banerjee , Sennur Ulukus

We propose deterministic timed automata (DTA) as a model-independent language for specifying performance and dependability measures over continuous-time stochastic processes. Technically, these measures are defined as limit frequencies of…

系统与控制 · 计算机科学 2015-03-17 Tomáš Brázdil , Jan Krčál , Jan Křetínský , Antonín Kučera , Vojtěch Řehák

A "scheduled" arrival process is one in which the n th arrival is scheduled for time n, but instead occurs at a different time. The difference between the scheduled time and the arrival time is called the perturbation. The sequence of…

概率论 · 数学 2021-02-16 V. F. Araman , H. Chen , P. W. Glynn , L. Xia
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