<?xml version='1.0' encoding='utf-8'?>
<CERIF xmlns='urn:xmlns:org:eurocris:cerif-1.5-1' xsi:schemaLocation='urn:xmlns:org:eurocris:cerif-1.5-1 http://www.eurocris.org/Uploads/Web%20pages/CERIF-1.5/CERIF_1.5_1.xsd' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' release='1.5' date='2012-10-07' sourceDatabase='Output Profile'>
<cfResPubl>
<cfResPublId>ibn-ResPubl-17761</cfResPublId>
<cfResPublDate>2012-04-03</cfResPublDate>
<cfVol>68</cfVol>
<cfIssue>1</cfIssue>
<cfStartPage>70</cfStartPage>
<cfISSN>1024-7696</cfISSN>
<cfURI>https://ibn.idsi.md/ro/vizualizare_articol/17761</cfURI>
<cfTitle cfLangCode='EN' cfTrans='o'>Matrix algorithm for Polling models with PH distribution</cfTitle>
<cfKeyw cfLangCode='EN' cfTrans='o'>Polling Model; Kendall Equation; Generalization of
Classical Kendall Functional Equation; k-Busy Period; Matrix Algorithm</cfKeyw>
<cfAbstr cfLangCode='EN' cfTrans='o'>Polling systems provide performance evaluation criteria for a variety of
demand-based, multiple-access schemes in computer and communication systems [1].
For studying this systems it is necessary to find their important characteristics. One
of the important characteristics of these systems is the k-busy period [2]. In [3] it is
showed that analytical results for k-busy period can be viewed as the generalization
of classical Kendall functional equation [4]. A matrix algorithm for solving the gene-
ralization of classical Kendall functional equation is proposed. Some examples and
numerical results are presented.</cfAbstr>
<cfResPubl_Class>
<cfClassId>eda2d9e9-34c5-11e1-b86c-0800200c9a66</cfClassId>
<cfClassSchemeId>759af938-34ae-11e1-b86c-0800200c9a66</cfClassSchemeId>
<cfStartDate>2012-04-03T24:00:00</cfStartDate>
</cfResPubl_Class>
<cfResPubl_Class>
<cfClassId>e601872f-4b7e-4d88-929f-7df027b226c9</cfClassId>
<cfClassSchemeId>40e90e2f-446d-460a-98e5-5dce57550c48</cfClassSchemeId>
<cfStartDate>2012-04-03T24:00:00</cfStartDate>
</cfResPubl_Class>
<cfPers_ResPubl>
<cfPersId>ibn-person-475</cfPersId>
<cfClassId>49815870-1cfe-11e1-8bc2-0800200c9a66</cfClassId>
<cfClassSchemeId>b7135ad0-1d00-11e1-8bc2-0800200c9a66</cfClassSchemeId>
<cfStartDate>2012-04-03T24:00:00</cfStartDate>
</cfPers_ResPubl>
<cfPers_ResPubl>
<cfPersId>ibn-person-33605</cfPersId>
<cfClassId>49815870-1cfe-11e1-8bc2-0800200c9a66</cfClassId>
<cfClassSchemeId>b7135ad0-1d00-11e1-8bc2-0800200c9a66</cfClassSchemeId>
<cfStartDate>2012-04-03T24:00:00</cfStartDate>
</cfPers_ResPubl>
<cfPers_ResPubl>
<cfPersId>ibn-person-16507</cfPersId>
<cfClassId>49815870-1cfe-11e1-8bc2-0800200c9a66</cfClassId>
<cfClassSchemeId>b7135ad0-1d00-11e1-8bc2-0800200c9a66</cfClassSchemeId>
<cfStartDate>2012-04-03T24:00:00</cfStartDate>
</cfPers_ResPubl>
</cfResPubl>
<cfPers>
<cfPersId>ibn-Pers-475</cfPersId>
<cfPersName_Pers>
<cfPersNameId>ibn-PersName-475-3</cfPersNameId>
<cfClassId>55f90543-d631-42eb-8d47-d8d9266cbb26</cfClassId>
<cfClassSchemeId>7375609d-cfa6-45ce-a803-75de69abe21f</cfClassSchemeId>
<cfStartDate>2012-04-03T24:00:00</cfStartDate>
<cfFamilyNames>Mishkoy</cfFamilyNames>
<cfFirstNames>Gheorghe</cfFirstNames>
</cfPersName_Pers>
</cfPers>
<cfPers>
<cfPersId>ibn-Pers-33605</cfPersId>
<cfPersName_Pers>
<cfPersNameId>ibn-PersName-33605-3</cfPersNameId>
<cfClassId>55f90543-d631-42eb-8d47-d8d9266cbb26</cfClassId>
<cfClassSchemeId>7375609d-cfa6-45ce-a803-75de69abe21f</cfClassSchemeId>
<cfStartDate>2012-04-03T24:00:00</cfStartDate>
<cfFamilyNames>Krieger</cfFamilyNames>
<cfFirstNames>Udo</cfFirstNames>
</cfPersName_Pers>
</cfPers>
<cfPers>
<cfPersId>ibn-Pers-16507</cfPersId>
<cfPersName_Pers>
<cfPersNameId>ibn-PersName-16507-3</cfPersNameId>
<cfClassId>55f90543-d631-42eb-8d47-d8d9266cbb26</cfClassId>
<cfClassSchemeId>7375609d-cfa6-45ce-a803-75de69abe21f</cfClassSchemeId>
<cfStartDate>2012-04-03T24:00:00</cfStartDate>
<cfFamilyNames>Bejenari</cfFamilyNames>
<cfFirstNames>Diana</cfFirstNames>
</cfPersName_Pers>
</cfPers>
</CERIF>