Projects per year

### Abstract

We consider a parallel-server system with homogeneous servers where incoming tasks, arriving at rate λ, are dispatched by n dispatchers, each of them balancing a fraction 1/n of the load to K/n servers. Servers are first-come-first-served (FCFS) queues and dispatchers implement size interval task assignment policy with equal load (SITA-E), a size-based policy such that the servers are equally loaded. We compare the performance of a system with n>1 dispatchers and a single dispatcher. We show that the performance of a system with n dispatchers, K servers, and arrival rate λ coincides with that of a system with one dispatcher, K/n servers, and arrival rate λ/n. We define the degradation factor as the ratio between the performance of a system with K servers and arrival rate λ and the performance of a system with K/n servers and arrival rate λ/n. We establish a partial monotonicity on n for the degradation factor and, therefore, the degradation factor is lower bounded by one. We then investigate the upper bound of the degradation factor for particular distributions. We consider two continuous service time distributions: uniform and bounded Pareto and a discrete distribution with two values, which is the distribution that maximizes the variance for a given mean. We show that the performance degradation is small for uniformly distributed job sizes but that for Bounded Pareto and two points distributions it can be unbounded. We have investigated the degradation using the distribution obtained from real traces.

Original language | English |
---|---|

Article number | 8672485 |

Pages (from-to) | 875 - 888 |

Number of pages | 14 |

Journal | IEEE/ACM Transactions on Networking |

Volume | 27 |

Issue number | 2 |

Early online date | 2019 |

DOIs | |

Publication status | Published - 1 Apr 2019 |

MoE publication type | A1 Journal article-refereed |

### Keywords

- Degradation
- Servers
- Routing
- Task analysis
- Dispatching
- IEEE transactions
- Time factors
- Parallel-server routing
- performance degradation
- economies of scale.

## Fingerprint Dive into the research topics of 'Performance Degradation in Parallel-Server Systems'. Together they form a unique fingerprint.

## Projects

- 1 Finished

## Faster Queues for Big Data - Nopeammat jonot suurten tietomassojen käsittelyyn

Hyytiä, E., Aalto, S., Viitasaari, L., Osti, P., Wu, X. & Bilenne, O.

01/01/2016 → 31/12/2017

Project: Academy of Finland: Other research funding

## Cite this

Doncel, J., Aalto, S., & Ayesta, U. (2019). Performance Degradation in Parallel-Server Systems.

*IEEE/ACM Transactions on Networking*,*27*(2), 875 - 888. [8672485]. https://doi.org/10.1109/TNET.2019.2902531