Bandwidth and buffer allocation in a multiservice environment for multirate signals

Drigas, AS; Protonotarious, EN

dc.contributor.author	Drigas, AS	en
dc.contributor.author	Protonotarious, EN	en
dc.date.accessioned	2014-03-01T02:47:50Z
dc.date.available	2014-03-01T02:47:50Z
dc.date.issued	1988	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33384
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0024123455&partnerID=40&md5=3771de06bffca3b07d125e0b6715b929	en
dc.subject.other	Data Storage, Digital	en
dc.subject.other	Digital Communication Systems	en
dc.subject.other	Abstract Only	en
dc.subject.other	Bandwidth Sharing	en
dc.subject.other	Buffer Allocation	en
dc.subject.other	Multiserver System	en
dc.subject.other	Resource Allocation	en
dc.subject.other	Data Transmission	en
dc.title	Bandwidth and buffer allocation in a multiservice environment for multirate signals	en
heal.type	conferenceItem	en
heal.publicationDate	1988	en
heal.abstract	Summary form given only, as follows. Resource allocation is considered in cases of random contention for M identical resources from two statistically different customer types. In particular, attention is focused on sharing bandwidth among customer classes or allocating packets in a buffer before a multiserver system. These two problems can be commonly formulated. The general problem is to determine the optimal policy for accepting or rejecting a call when the type of requesting customer is known as well as the state vector which has as components the numbers of customers of each type that are in service. The optimal choice of buffer size and bandwidth is involved in the design of service facility as well as the rules of sharing resources among users. The objective of this study was to develop analytical models and computational algorithms for the determination of the optimal state subset for slotted time systems with call traffic modeled as stationary independent arrival processes and with service time modeled as a general discrete time distribution. The parameters optimized are the ones generally accepted as throughput, utiliztion and blocking of the system. In addition quantitative estimates for the relative optimum throughput, utilization and blocking are obtained.	en
heal.publisher	Publ by IEEE, New York, NY, USA	en
heal.journalName	[No source information available]	en
dc.identifier.volume	25 n 13	en
dc.identifier.spage	160	en