Dynamic quality of service control in packet switch scheduling

Recent research in packet switch scheduling algorithms has moved beyond throughput maximization to quality of service (QoS) control. Several classes of algorithms have been shown to achieve maximal throughput under certain system conditions. Between classes and within each class, QoS performance var...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Ross, K., Bambos, N.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 401 Vol. 1
container_issue
container_start_page 396
container_title
container_volume 1
creator Ross, K.
Bambos, N.
description Recent research in packet switch scheduling algorithms has moved beyond throughput maximization to quality of service (QoS) control. Several classes of algorithms have been shown to achieve maximal throughput under certain system conditions. Between classes and within each class, QoS performance varies based on arrival traffic and properties of the scheduling algorithm being utilized. Here we compare two classes of throughput-maximizing algorithms and their performance with respect to buffer sizes. These classes are randomized algorithms, which can be characterized as offline algorithms, and projective cone scheduling algorithms, which are online since they respond to the current workload in the system. In each class, parameters can be fine-tuned to reflect the priorities of individual switch ports. We show how the online algorithms lead to significantly better quality of service performance.
doi_str_mv 10.1109/ICC.2005.1494382
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_1494382</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1494382</ieee_id><sourcerecordid>1494382</sourcerecordid><originalsourceid>FETCH-LOGICAL-i105t-1efec73526c7421d8d1edf1c51a35d2ac873af2b25ccd667111c8e3cb489b4463</originalsourceid><addsrcrecordid>eNotj0tLw0AUhQcfYFvdC27mDyTOnUdmshEkvgoFN7oukzs3djRNaiZV8u8t2NWB83E-OIxdg8gBRHm7rKpcCmFy0KVWTp6wGZTKZeCcOmVzYZ1Q7lDYswMwRmSqEPaCzVP6PKxkqWDG7h6mzm8j8u-9b-M48b7hiYafiMSx78ahb3ns-M7jF408_cYRNzzhhsK-jd3HJTtvfJvo6pgL9v70-Fa9ZKvX52V1v8oiCDNmQA2hVUYWaLWE4AJQaAANeGWC9Ois8o2spUEMRWEBAB0prLUra60LtWA3_95IROvdELd-mNbH3-oPgSZKQg</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Dynamic quality of service control in packet switch scheduling</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Ross, K. ; Bambos, N.</creator><creatorcontrib>Ross, K. ; Bambos, N.</creatorcontrib><description>Recent research in packet switch scheduling algorithms has moved beyond throughput maximization to quality of service (QoS) control. Several classes of algorithms have been shown to achieve maximal throughput under certain system conditions. Between classes and within each class, QoS performance varies based on arrival traffic and properties of the scheduling algorithm being utilized. Here we compare two classes of throughput-maximizing algorithms and their performance with respect to buffer sizes. These classes are randomized algorithms, which can be characterized as offline algorithms, and projective cone scheduling algorithms, which are online since they respond to the current workload in the system. In each class, parameters can be fine-tuned to reflect the priorities of individual switch ports. We show how the online algorithms lead to significantly better quality of service performance.</description><identifier>ISSN: 1550-3607</identifier><identifier>ISBN: 0780389387</identifier><identifier>ISBN: 9780780389380</identifier><identifier>EISSN: 1938-1883</identifier><identifier>DOI: 10.1109/ICC.2005.1494382</identifier><language>eng</language><publisher>IEEE</publisher><subject>Algorithm design and analysis ; Delay ; Dynamic scheduling ; Packet switching ; Personal communication networks ; Quality of service ; Scheduling algorithm ; Switches ; Telecommunication traffic ; Throughput</subject><ispartof>IEEE International Conference on Communications, 2005. ICC 2005. 2005, 2005, Vol.1, p.396-401 Vol. 1</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1494382$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,4036,4037,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1494382$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ross, K.</creatorcontrib><creatorcontrib>Bambos, N.</creatorcontrib><title>Dynamic quality of service control in packet switch scheduling</title><title>IEEE International Conference on Communications, 2005. ICC 2005. 2005</title><addtitle>ICC</addtitle><description>Recent research in packet switch scheduling algorithms has moved beyond throughput maximization to quality of service (QoS) control. Several classes of algorithms have been shown to achieve maximal throughput under certain system conditions. Between classes and within each class, QoS performance varies based on arrival traffic and properties of the scheduling algorithm being utilized. Here we compare two classes of throughput-maximizing algorithms and their performance with respect to buffer sizes. These classes are randomized algorithms, which can be characterized as offline algorithms, and projective cone scheduling algorithms, which are online since they respond to the current workload in the system. In each class, parameters can be fine-tuned to reflect the priorities of individual switch ports. We show how the online algorithms lead to significantly better quality of service performance.</description><subject>Algorithm design and analysis</subject><subject>Delay</subject><subject>Dynamic scheduling</subject><subject>Packet switching</subject><subject>Personal communication networks</subject><subject>Quality of service</subject><subject>Scheduling algorithm</subject><subject>Switches</subject><subject>Telecommunication traffic</subject><subject>Throughput</subject><issn>1550-3607</issn><issn>1938-1883</issn><isbn>0780389387</isbn><isbn>9780780389380</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj0tLw0AUhQcfYFvdC27mDyTOnUdmshEkvgoFN7oukzs3djRNaiZV8u8t2NWB83E-OIxdg8gBRHm7rKpcCmFy0KVWTp6wGZTKZeCcOmVzYZ1Q7lDYswMwRmSqEPaCzVP6PKxkqWDG7h6mzm8j8u-9b-M48b7hiYafiMSx78ahb3ns-M7jF408_cYRNzzhhsK-jd3HJTtvfJvo6pgL9v70-Fa9ZKvX52V1v8oiCDNmQA2hVUYWaLWE4AJQaAANeGWC9Ois8o2spUEMRWEBAB0prLUra60LtWA3_95IROvdELd-mNbH3-oPgSZKQg</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Ross, K.</creator><creator>Bambos, N.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2005</creationdate><title>Dynamic quality of service control in packet switch scheduling</title><author>Ross, K. ; Bambos, N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i105t-1efec73526c7421d8d1edf1c51a35d2ac873af2b25ccd667111c8e3cb489b4463</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Algorithm design and analysis</topic><topic>Delay</topic><topic>Dynamic scheduling</topic><topic>Packet switching</topic><topic>Personal communication networks</topic><topic>Quality of service</topic><topic>Scheduling algorithm</topic><topic>Switches</topic><topic>Telecommunication traffic</topic><topic>Throughput</topic><toplevel>online_resources</toplevel><creatorcontrib>Ross, K.</creatorcontrib><creatorcontrib>Bambos, N.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ross, K.</au><au>Bambos, N.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Dynamic quality of service control in packet switch scheduling</atitle><btitle>IEEE International Conference on Communications, 2005. ICC 2005. 2005</btitle><stitle>ICC</stitle><date>2005</date><risdate>2005</risdate><volume>1</volume><spage>396</spage><epage>401 Vol. 1</epage><pages>396-401 Vol. 1</pages><issn>1550-3607</issn><eissn>1938-1883</eissn><isbn>0780389387</isbn><isbn>9780780389380</isbn><abstract>Recent research in packet switch scheduling algorithms has moved beyond throughput maximization to quality of service (QoS) control. Several classes of algorithms have been shown to achieve maximal throughput under certain system conditions. Between classes and within each class, QoS performance varies based on arrival traffic and properties of the scheduling algorithm being utilized. Here we compare two classes of throughput-maximizing algorithms and their performance with respect to buffer sizes. These classes are randomized algorithms, which can be characterized as offline algorithms, and projective cone scheduling algorithms, which are online since they respond to the current workload in the system. In each class, parameters can be fine-tuned to reflect the priorities of individual switch ports. We show how the online algorithms lead to significantly better quality of service performance.</abstract><pub>IEEE</pub><doi>10.1109/ICC.2005.1494382</doi></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1550-3607
ispartof IEEE International Conference on Communications, 2005. ICC 2005. 2005, 2005, Vol.1, p.396-401 Vol. 1
issn 1550-3607
1938-1883
language eng
recordid cdi_ieee_primary_1494382
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Algorithm design and analysis
Delay
Dynamic scheduling
Packet switching
Personal communication networks
Quality of service
Scheduling algorithm
Switches
Telecommunication traffic
Throughput
title Dynamic quality of service control in packet switch scheduling
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T03%3A06%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Dynamic%20quality%20of%20service%20control%20in%20packet%20switch%20scheduling&rft.btitle=IEEE%20International%20Conference%20on%20Communications,%202005.%20ICC%202005.%202005&rft.au=Ross,%20K.&rft.date=2005&rft.volume=1&rft.spage=396&rft.epage=401%20Vol.%201&rft.pages=396-401%20Vol.%201&rft.issn=1550-3607&rft.eissn=1938-1883&rft.isbn=0780389387&rft.isbn_list=9780780389380&rft_id=info:doi/10.1109/ICC.2005.1494382&rft_dat=%3Cieee_6IE%3E1494382%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=1494382&rfr_iscdi=true