The Experts below are selected from a list of 145842 Experts worldwide ranked by ideXlab platform
Jong Suk Ahn - One of the best experts on this subject based on the ideXlab platform.
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A Network Bandwidth computation technique for IP storage with QoS guarantees
Lecture Notes in Computer Science, 2004Co-Authors: Young Jin Nam, Junkil Ryu, Chanik Park, Jong Suk AhnAbstract:IP storage becomes more commonplace with the prevalence of the iSCSI (Internet SCSI) protocol that enables the SCSI protocol to run over the existing IP Network. Meanwhile, storage QoS that assures a required storage service for each storage client has gained in importance with increased opportunities for multiple storage clients to share the same IP storage. Considering the existence of other competing Network traffic in IP Network, we have to provide storage I/O traffic with guaranteed Network Bandwidth. Most importantly, we need to calculate the required Network Bandwidth to assure a given storage QoS requirement between a storage client and IP storage. This paper proposes a Network Bandwidth computation technique that not only accounts for the overhead caused by the underlying Network protocols, but also guarantees the minimum data transfer delay over the IP Network. Performance evaluations with various I/O workload patterns on our IP storage testbed verify the correctness of the proposed technique; that is, allocating a part (0.6-20%) of the entire Network Bandwidth can assure the given storage QoS requirements.
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NPC - A Network Bandwidth Computation Technique for IP Storage with QoS Guarantees
Lecture Notes in Computer Science, 2004Co-Authors: Young Jin Nam, Junkil Ryu, Chanik Park, Jong Suk AhnAbstract:IP storage becomes more commonplace with the prevalence of the iSCSI (Internet SCSI) protocol that enables the SCSI protocol to run over the existing IP Network. Meanwhile, storage QoS that assures a required storage service for each storage client has gained in importance with increased opportunities for multiple storage clients to share the same IP storage. Considering the existence of other competing Network traffic in IP Network, we have to provide storage I/O traffic with guaranteed Network Bandwidth. Most importantly, we need to calculate the required Network Bandwidth to assure a given storage QoS requirement between a storage client and IP storage. This paper proposes a Network Bandwidth computation technique that not only accounts for the overhead caused by the underlying Network protocols, but also guarantees the minimum data transfer delay over the IP Network. Performance evaluations with various I/O workload patterns on our IP storage testbed verify the correctness of the proposed technique; that is, allocating a part (0.6–20%) of the entire Network Bandwidth can assure the given storage QoS requirements.
Chanik Park - One of the best experts on this subject based on the ideXlab platform.
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Controlling Network Bandwidth to Support Storage QoS
Fourth International Workshop on Storage Network Architecture and Parallel I Os (SNAPI 2007), 2007Co-Authors: Junkil Ryu, Chanik ParkAbstract:In Network storage environments, it is difficult that a Network storage system satisfies each client's service requirements because the specification of QoS requirements is presented as {request size, IOPS, response time ...}, which is used in the existing storage QoS area. Since Network storage system has two resources: storage and Network, storage QoS requirements to manage two resources effectively, must be specified. In particular, our study considers the TCP/IP-based Network. In this paper, to support each client's storage QoS requirements easily, the specification of each client's storage QoS requirements will be presented in terms of Bandwidth. The Network Bandwidth of a storage server must be managed because the storage service can be affected by the Network Bandwidth. This paper presents the QoS framework regulating the Network Bandwidth of the storage server to realize the storage performance isolation among the clients. The proposed framework monitors the Network resource and the storage resource periodically, identifies the bottleneck resource, selects victims among clients competing for the bottleneck resource and regulates the Network Bandwidth given to victims to satisfy a client's storage QoS requirements. We implemented the QoS-enabled Network storage using the iSCSIprotocol.
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A Network Bandwidth computation technique for IP storage with QoS guarantees
Lecture Notes in Computer Science, 2004Co-Authors: Young Jin Nam, Junkil Ryu, Chanik Park, Jong Suk AhnAbstract:IP storage becomes more commonplace with the prevalence of the iSCSI (Internet SCSI) protocol that enables the SCSI protocol to run over the existing IP Network. Meanwhile, storage QoS that assures a required storage service for each storage client has gained in importance with increased opportunities for multiple storage clients to share the same IP storage. Considering the existence of other competing Network traffic in IP Network, we have to provide storage I/O traffic with guaranteed Network Bandwidth. Most importantly, we need to calculate the required Network Bandwidth to assure a given storage QoS requirement between a storage client and IP storage. This paper proposes a Network Bandwidth computation technique that not only accounts for the overhead caused by the underlying Network protocols, but also guarantees the minimum data transfer delay over the IP Network. Performance evaluations with various I/O workload patterns on our IP storage testbed verify the correctness of the proposed technique; that is, allocating a part (0.6-20%) of the entire Network Bandwidth can assure the given storage QoS requirements.
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NPC - A Network Bandwidth Computation Technique for IP Storage with QoS Guarantees
Lecture Notes in Computer Science, 2004Co-Authors: Young Jin Nam, Junkil Ryu, Chanik Park, Jong Suk AhnAbstract:IP storage becomes more commonplace with the prevalence of the iSCSI (Internet SCSI) protocol that enables the SCSI protocol to run over the existing IP Network. Meanwhile, storage QoS that assures a required storage service for each storage client has gained in importance with increased opportunities for multiple storage clients to share the same IP storage. Considering the existence of other competing Network traffic in IP Network, we have to provide storage I/O traffic with guaranteed Network Bandwidth. Most importantly, we need to calculate the required Network Bandwidth to assure a given storage QoS requirement between a storage client and IP storage. This paper proposes a Network Bandwidth computation technique that not only accounts for the overhead caused by the underlying Network protocols, but also guarantees the minimum data transfer delay over the IP Network. Performance evaluations with various I/O workload patterns on our IP storage testbed verify the correctness of the proposed technique; that is, allocating a part (0.6–20%) of the entire Network Bandwidth can assure the given storage QoS requirements.
Junkil Ryu - One of the best experts on this subject based on the ideXlab platform.
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Controlling Network Bandwidth to Support Storage QoS
Fourth International Workshop on Storage Network Architecture and Parallel I Os (SNAPI 2007), 2007Co-Authors: Junkil Ryu, Chanik ParkAbstract:In Network storage environments, it is difficult that a Network storage system satisfies each client's service requirements because the specification of QoS requirements is presented as {request size, IOPS, response time ...}, which is used in the existing storage QoS area. Since Network storage system has two resources: storage and Network, storage QoS requirements to manage two resources effectively, must be specified. In particular, our study considers the TCP/IP-based Network. In this paper, to support each client's storage QoS requirements easily, the specification of each client's storage QoS requirements will be presented in terms of Bandwidth. The Network Bandwidth of a storage server must be managed because the storage service can be affected by the Network Bandwidth. This paper presents the QoS framework regulating the Network Bandwidth of the storage server to realize the storage performance isolation among the clients. The proposed framework monitors the Network resource and the storage resource periodically, identifies the bottleneck resource, selects victims among clients competing for the bottleneck resource and regulates the Network Bandwidth given to victims to satisfy a client's storage QoS requirements. We implemented the QoS-enabled Network storage using the iSCSIprotocol.
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A Network Bandwidth computation technique for IP storage with QoS guarantees
Lecture Notes in Computer Science, 2004Co-Authors: Young Jin Nam, Junkil Ryu, Chanik Park, Jong Suk AhnAbstract:IP storage becomes more commonplace with the prevalence of the iSCSI (Internet SCSI) protocol that enables the SCSI protocol to run over the existing IP Network. Meanwhile, storage QoS that assures a required storage service for each storage client has gained in importance with increased opportunities for multiple storage clients to share the same IP storage. Considering the existence of other competing Network traffic in IP Network, we have to provide storage I/O traffic with guaranteed Network Bandwidth. Most importantly, we need to calculate the required Network Bandwidth to assure a given storage QoS requirement between a storage client and IP storage. This paper proposes a Network Bandwidth computation technique that not only accounts for the overhead caused by the underlying Network protocols, but also guarantees the minimum data transfer delay over the IP Network. Performance evaluations with various I/O workload patterns on our IP storage testbed verify the correctness of the proposed technique; that is, allocating a part (0.6-20%) of the entire Network Bandwidth can assure the given storage QoS requirements.
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NPC - A Network Bandwidth Computation Technique for IP Storage with QoS Guarantees
Lecture Notes in Computer Science, 2004Co-Authors: Young Jin Nam, Junkil Ryu, Chanik Park, Jong Suk AhnAbstract:IP storage becomes more commonplace with the prevalence of the iSCSI (Internet SCSI) protocol that enables the SCSI protocol to run over the existing IP Network. Meanwhile, storage QoS that assures a required storage service for each storage client has gained in importance with increased opportunities for multiple storage clients to share the same IP storage. Considering the existence of other competing Network traffic in IP Network, we have to provide storage I/O traffic with guaranteed Network Bandwidth. Most importantly, we need to calculate the required Network Bandwidth to assure a given storage QoS requirement between a storage client and IP storage. This paper proposes a Network Bandwidth computation technique that not only accounts for the overhead caused by the underlying Network protocols, but also guarantees the minimum data transfer delay over the IP Network. Performance evaluations with various I/O workload patterns on our IP storage testbed verify the correctness of the proposed technique; that is, allocating a part (0.6–20%) of the entire Network Bandwidth can assure the given storage QoS requirements.
H. Venkateswaran - One of the best experts on this subject based on the ideXlab platform.
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An application-driven study of parallel system overheads and Network Bandwidth requirements
IEEE Transactions on Parallel and Distributed Systems, 1999Co-Authors: Anand Sivasubramaniam, Aman Singla, Umakishore Ramachandran, H. VenkateswaranAbstract:Evaluating and analyzing the performance of a parallel application on an architecture to explain the disparity between projected and delivered performance is an important aspect of parallel systems research. However, conducting such a study is hard due to the vast design space of these systems. We study two important aspects related to the performance of parallel applications on shared memory parallel architectures. First, we quantify overheads observed during the execution of these applications on three different simulated architectures. We next use these results to synthesize the Bandwidth requirements for the applications with respect to different Network topologies. This study is performed using an execution-driven simulation tool called SPASM, which provides a way of isolating and quantifying the different parallel system overheads in a nonintrusive manner. The first exercise shows that in shared memory machines with private caches, as long as the applications are well-structured to exploit locality, the key determinant that impacts performance is Network connection. The second exercise quantifies the Network Bandwidth needed to minimize the effect of Network connection. Specifically, it is shown that for the applications considered, as long as the problem sizes are increased commensurate with the system size, current Network technologies supporting 200-300 MBytes/sec link Bandwidth are sufficient to keep the Network overheads (such as latency and contention) within acceptable bounds.
Young Jin Nam - One of the best experts on this subject based on the ideXlab platform.
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A Network Bandwidth computation technique for IP storage with QoS guarantees
Lecture Notes in Computer Science, 2004Co-Authors: Young Jin Nam, Junkil Ryu, Chanik Park, Jong Suk AhnAbstract:IP storage becomes more commonplace with the prevalence of the iSCSI (Internet SCSI) protocol that enables the SCSI protocol to run over the existing IP Network. Meanwhile, storage QoS that assures a required storage service for each storage client has gained in importance with increased opportunities for multiple storage clients to share the same IP storage. Considering the existence of other competing Network traffic in IP Network, we have to provide storage I/O traffic with guaranteed Network Bandwidth. Most importantly, we need to calculate the required Network Bandwidth to assure a given storage QoS requirement between a storage client and IP storage. This paper proposes a Network Bandwidth computation technique that not only accounts for the overhead caused by the underlying Network protocols, but also guarantees the minimum data transfer delay over the IP Network. Performance evaluations with various I/O workload patterns on our IP storage testbed verify the correctness of the proposed technique; that is, allocating a part (0.6-20%) of the entire Network Bandwidth can assure the given storage QoS requirements.
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NPC - A Network Bandwidth Computation Technique for IP Storage with QoS Guarantees
Lecture Notes in Computer Science, 2004Co-Authors: Young Jin Nam, Junkil Ryu, Chanik Park, Jong Suk AhnAbstract:IP storage becomes more commonplace with the prevalence of the iSCSI (Internet SCSI) protocol that enables the SCSI protocol to run over the existing IP Network. Meanwhile, storage QoS that assures a required storage service for each storage client has gained in importance with increased opportunities for multiple storage clients to share the same IP storage. Considering the existence of other competing Network traffic in IP Network, we have to provide storage I/O traffic with guaranteed Network Bandwidth. Most importantly, we need to calculate the required Network Bandwidth to assure a given storage QoS requirement between a storage client and IP storage. This paper proposes a Network Bandwidth computation technique that not only accounts for the overhead caused by the underlying Network protocols, but also guarantees the minimum data transfer delay over the IP Network. Performance evaluations with various I/O workload patterns on our IP storage testbed verify the correctness of the proposed technique; that is, allocating a part (0.6–20%) of the entire Network Bandwidth can assure the given storage QoS requirements.
