Date: Fri, 29 Mar 2024 10:19:12 +0100 (CET)
Message-ID: <68264654.111616.1711703952177@srvdoc.doc.ipesoft.com>
Subject: Exported From Confluence
MIME-Version: 1.0
Content-Type: multipart/related;
boundary="----=_Part_111615_1128038065.1711703952177"
------=_Part_111615_1128038065.1711703952177
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable
Content-Location: file:///C:/exported.html
Redundancia komunika=C4=8Dn=C3=BDch ciest umo=C5=BE=C5=88uje zv=
=C3=BD=C5=A1i=C5=A5 bezpe=C4=8Dnos=C5=A5 komunik=C3=A1cie medzi vybran=C3=
=BDmi klient procesmi syst=C3=A9mu D2000 a procesom D2000 Server.
Nasleduj=C3=BAci obr=C3=A1zok zobrazuje syst=C3=A9m D2000 s pou=C5=BEit=
=C3=ADm redundancie komunika=C4=8Dn=C3=BDch ciest medzi procesmi D2000 Archiv a D2000 HI a procesom D2000 Server.
Technol=C3=B3gia DUAL TCP/IP umo=C5=BE=C5=88uje realizova=C5=A5 spojenie=
medzi procesom D2000 Server<=
/a> a klientsk=C3=BDmi procesmi syst=C3=A9mu D2000 prostredn=C3=ADctvom dvo=
ch nez=C3=A1visl=C3=BDch TCP/IP kan=C3=A1lov. V pr=C3=ADpade, =C5=BEe d=C3=
=B4jde k v=C3=BDpadku jedn=C3=A9ho kan=C3=A1la, komunik=C3=A1cia je automat=
icky a transparentne presmerovan=C3=A1 do druh=C3=A9ho kan=C3=A1la.
Technol=C3=B3gia DUAL TCP/IP je pou=C5=BEite=C4=BEn=C3=A1, pokia=C4=BE med=
zi serverom a klientsk=C3=BDmi procesmi existuj=C3=BA dve nez=C3=A1visl=C3=
=A9 TCP/IP siete, do ktor=C3=BDch s=C3=BA pripojen=C3=A9 serverovsk=C3=BD a=
klientsk=C3=A9 po=C4=8D=C3=ADta=C4=8De (t.j. ka=C5=BEd=C3=BD po=C4=8D=C3=
=ADta=C4=8D m=C3=A1 dve sie=C5=A5ov=C3=A9 karty). DUAL TCP/IP zabezpe=C4=8D=
uje redundantn=C3=A9 spojenia medzi serverom a klientsk=C3=BDmi procesmi, t=
ak=C5=BEe aplik=C3=A1cia bude pracova=C5=A5 aj v pr=C3=ADpade po=C5=A1koden=
ia alebo v=C3=BDpadku jednej siete.
Princ=C3=ADpy komunik=C3=A1cie:
- Klient sa pok=C3=BAsi pripoji=C5=A5 cez obidva TCP/IP kan=C3=A1le na pr=
oces D2000 Server
- Prv=C3=BD kan=C3=A1l, ktor=C3=A9mu sa pripojenie podar=C3=AD je tzv. akt=C3=ADvny
- Komunik=C3=A1cia prebieha akt=C3=ADvnym kan=C3=A1lom, pri=C4=8Dom druh=
=C3=BD kan=C3=A1l je tzv. z=C3=A1lo=C5=BEn=C3=BD
- Z=C3=A1lo=C5=BEn=C3=BDm kan=C3=A1lom komunik=C3=A1cia neprebieha - je u=
dr=C5=BEovan=C3=BD v pohotovosti a jeho priechodnos=C5=A5 je monitorovan=C3=
=A1 pomocou periodicky odosielan=C3=BDch "WATCHDOG" spr=C3=A1v
- V pr=C3=ADpade poruchy akt=C3=ADvneho kan=C3=A1la sa jeho stav na nefun=
k=C4=8Dn=C3=BD a stav z=C3=A1lo=C5=BEn=C3=A9ho kan=C3=A1lu sa zmen=C3=AD na=
akt=C3=ADvny. Klient proces sa cez nefunk=C4=8Dn=C3=BD kan=C3=A1l periodic=
ky pok=C3=BA=C5=A1a op=C3=A4tovne nadviaza=C5=A5 preru=C5=A1en=C3=A9 spojen=
ie. Ak sa spojenie obnov=C3=AD, kan=C3=A1l je pova=C5=BEovan=C3=BD za z=C3=
=A1lo=C5=BEn=C3=BD.
Syst=C3=A9m D2000 umo=C5=BE=C5=88uje nastavi=C5=A5 jeden z kan=C3=A1lov ak=
o kan=C3=A1l preferovan=C3=BD, t.j. ak je kan=C3=A1l funk=C4=8Dn=C3=BD, v=
=C5=BEdy bude akt=C3=ADvny. Toto nastavenie sa vykon=C3=A1va v syst=C3=A9mo=
v=C3=BDch registroch na strane klienta a m=C3=A1 dve mo=C5=BEnosti:
- V k=C4=BE=C3=BA=C4=8Di HKEY_LOCAL_MACHINE\SOFTWARE\Ipesoft\D2000V=
70\PreferredNetAddr sa nastav=C3=AD maska siete, ktor=C3=A1 bude pr=
eferovan=C3=A1 (napr. PreferredNetAddr=3D172.16.0.0 znamen=C3=A1, =
=C5=BEe preferovan=C3=A1 bude sie=C5=A5 s danou maskou)
- V k=C4=BE=C3=BA=C4=8Di HKEY_LOCAL_MACHINE\SOFTWARE\Ipesoft\D2000V=
70\PreferredNetNr sa uvedie poradov=C3=A9 =C4=8D=C3=ADslo sie=C5=A5=
ov=C3=A9ho adapt=C3=A9ra, ktor=C3=BD bude preferovan=C3=BD (napr. Prefer=
redNetNr=3D1 znamen=C3=A1, =C5=BEe preferovan=C3=BD bude prv=C3=BD sie=
=C5=A5ov=C3=BD adapt=C3=A9r)
Pozn=C3=A1mka:
Prioritu nastavenia preferovan=C3=A9ho kan=C3=A1la m=C3=A1 prv=C3=A1 mo=C5=
=BEnos=C5=A5; ak t=C3=A1to nie je zadan=C3=A1, alebo zadan=C3=A1 hodnota vy=
hovuje obom sie=C5=A5am, do =C3=BAvahy sa vezme nastavenie poradov=C3=A9ho =
=C4=8D=C3=ADsla siete.
------=_Part_111615_1128038065.1711703952177
Content-Type: application/octet-stream
Content-Transfer-Encoding: base64
Content-Location: file:///C:/e8a5c01cc8c974a26ab39e9abcd4b1e8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------=_Part_111615_1128038065.1711703952177--