Given the availability of high-speed Ethernet and HW based protocol offload, clustered systems using a commodity network fabric (e.g., TCP/IP over Ethernet) are expected to become more attractive for a range of e-business and data center applications. In this paper, we describe a comprehensive simulation to study the performance of clustered database systems using such a fabric. The simulation model currently supports both TCP and SCTP as the transport protocol and models an Oracle 9i like clustered DBMS running a TPC-C like workload. The model can be used to study a wide variety of issues regarding the performance of clustered DBMS systems including the impact of enhancements to network layers (transport, IP, MAC), QoS mechanisms or latency improvements, and cluster-wide power control issues.
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Krishna KANT, Amit SAHOO, Nrupal JANI, "DCLUE: A Distributed Cluster Emulator" in IEICE TRANSACTIONS on Information,
vol. E89-D, no. 2, pp. 433-440, February 2006, doi: 10.1093/ietisy/e89-d.2.433.
Abstract: Given the availability of high-speed Ethernet and HW based protocol offload, clustered systems using a commodity network fabric (e.g., TCP/IP over Ethernet) are expected to become more attractive for a range of e-business and data center applications. In this paper, we describe a comprehensive simulation to study the performance of clustered database systems using such a fabric. The simulation model currently supports both TCP and SCTP as the transport protocol and models an Oracle 9i like clustered DBMS running a TPC-C like workload. The model can be used to study a wide variety of issues regarding the performance of clustered DBMS systems including the impact of enhancements to network layers (transport, IP, MAC), QoS mechanisms or latency improvements, and cluster-wide power control issues.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e89-d.2.433/_p
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@ARTICLE{e89-d_2_433,
author={Krishna KANT, Amit SAHOO, Nrupal JANI, },
journal={IEICE TRANSACTIONS on Information},
title={DCLUE: A Distributed Cluster Emulator},
year={2006},
volume={E89-D},
number={2},
pages={433-440},
abstract={Given the availability of high-speed Ethernet and HW based protocol offload, clustered systems using a commodity network fabric (e.g., TCP/IP over Ethernet) are expected to become more attractive for a range of e-business and data center applications. In this paper, we describe a comprehensive simulation to study the performance of clustered database systems using such a fabric. The simulation model currently supports both TCP and SCTP as the transport protocol and models an Oracle 9i like clustered DBMS running a TPC-C like workload. The model can be used to study a wide variety of issues regarding the performance of clustered DBMS systems including the impact of enhancements to network layers (transport, IP, MAC), QoS mechanisms or latency improvements, and cluster-wide power control issues.},
keywords={},
doi={10.1093/ietisy/e89-d.2.433},
ISSN={1745-1361},
month={February},}
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TY - JOUR
TI - DCLUE: A Distributed Cluster Emulator
T2 - IEICE TRANSACTIONS on Information
SP - 433
EP - 440
AU - Krishna KANT
AU - Amit SAHOO
AU - Nrupal JANI
PY - 2006
DO - 10.1093/ietisy/e89-d.2.433
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E89-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2006
AB - Given the availability of high-speed Ethernet and HW based protocol offload, clustered systems using a commodity network fabric (e.g., TCP/IP over Ethernet) are expected to become more attractive for a range of e-business and data center applications. In this paper, we describe a comprehensive simulation to study the performance of clustered database systems using such a fabric. The simulation model currently supports both TCP and SCTP as the transport protocol and models an Oracle 9i like clustered DBMS running a TPC-C like workload. The model can be used to study a wide variety of issues regarding the performance of clustered DBMS systems including the impact of enhancements to network layers (transport, IP, MAC), QoS mechanisms or latency improvements, and cluster-wide power control issues.
ER -