Arbeitspapier
Method for throughput maximization of multiclass networks with flexible servers
In this paper, we study the throughput of multiclass networks featuring several types of flexible servers as well as general constraints both on the number of servers having the same skills and on the number of servers allowed at each station. Each job class is characterized by its processing station, and each station is characterized by the amount of work assigned to that station upon job arrival. Servers may have different skills and efficiencies. We propose a simple method calculating an upper bound for the maximum network throughput achievable with static server allocation.
- Sprache
-
Englisch
- Erschienen in
-
Series: ETLA Discussion Papers ; No. 1261
- Klassifikation
-
Wirtschaft
Optimization Techniques; Programming Models; Dynamic Analysis
Existence and Stability Conditions of Equilibrium
Computable General Equilibrium Models
- Thema
-
server allocation
flexible server
multiclass network
throughput
bottleneck
Unternehmensarchitektur
Dynamische Optimierung
Allgemeines Gleichgewicht
Theorie
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Naumov, Valeriy
Martikainen, Olli
- Ereignis
-
Veröffentlichung
- (wer)
-
The Research Institute of the Finnish Economy (ETLA)
- (wo)
-
Helsinki
- (wann)
-
2011
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Naumov, Valeriy
- Martikainen, Olli
- The Research Institute of the Finnish Economy (ETLA)
Entstanden
- 2011
Ähnliche Objekte (12)
UAV positioning for throughput maximization
Online revenue maximization for server pricing
Throughput maximization for periodic packet scheduling
A competitive algorithm for throughput maximization on identical machines
Purification scheduling control for throughput maximization in quantum networks
A general framework for handling commitment in online throughput maximization
Throughput maximization for irregular reconfigurable intelligent surface assisted NOMA systems
Distributed weighted sum-rate maximization with multi-cell uplink-downlink throughput duality
Assignment maximization
Parameterized maximization
Throughput maximization-based optimal power allocation for energy-harvesting cognitive radio networks with multiusers
Multi-class inverted stippling
UAV positioning for throughput maximization
Online revenue maximization for server pricing
Throughput maximization for periodic packet scheduling
A competitive algorithm for throughput maximization on identical machines
Purification scheduling control for throughput maximization in quantum networks
A general framework for handling commitment in online throughput maximization
Throughput maximization for irregular reconfigurable intelligent surface assisted NOMA systems
Distributed weighted sum-rate maximization with multi-cell uplink-downlink throughput duality
Assignment maximization
Parameterized maximization
Throughput maximization-based optimal power allocation for energy-harvesting cognitive radio networks with multiusers
Multi-class inverted stippling
UAV positioning for throughput maximization
Online revenue maximization for server pricing
Throughput maximization for periodic packet scheduling
A competitive algorithm for throughput maximization on identical machines
Purification scheduling control for throughput maximization in quantum networks
A general framework for handling commitment in online throughput maximization
Throughput maximization for irregular reconfigurable intelligent surface assisted NOMA systems
Distributed weighted sum-rate maximization with multi-cell uplink-downlink throughput duality
Assignment maximization
Parameterized maximization
Throughput maximization-based optimal power allocation for energy-harvesting cognitive radio networks with multiusers