The Experts below are selected from a list of 210 Experts worldwide ranked by ideXlab platform
Qingbo Wang - One of the best experts on this subject based on the ideXlab platform.
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rapid Provisioning of cloud infrastructure leveraging peer to peer networks
International Conference on Distributed Computing Systems Workshops, 2009Co-Authors: Zhijia Chen, Yang Zhao, Xin Miao, Ying Chen, Qingbo WangAbstract:As an emerging model for new enterprise data centers, the cloud paradigm provides a disruptive market opportunity to better utilize computing resources and reduce IT complexity. To provide the cloud computing service, the Provisioning of the cloud infrastructure in data centers is a pre-request. However, the Provisioning for systems and applications on large number of physical machines is traditionally a time consuming process, with low assurance on deployment time and cost. This paper thus leverages Peer-to-Peer (P2P) networks to speedup the Provisioning for cloud infrastructure. In the proposed P2P-assisted cloud Provisioning system, BitTorrent-like P2P protocol is utilized to accelerate image delivery to large-scale target machines, by sharing their upload capacity to overcome the traditional bandwidth bottleneck of Provisioning Server. Further, the BitTorrent component is integrated with File system in User space (FUSE) through a message-driven piece selection scheme, to enable virtual machines and requested services in required time. Based on our prototype system, experiments demonstrate the effectiveness of our system in saving deployment time, increasing service availability and reducing traffic cost, leading to high Quality of Service of end users.
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ICDCS Workshops - Rapid Provisioning of Cloud Infrastructure Leveraging Peer-to-Peer Networks
2009 29th IEEE International Conference on Distributed Computing Systems Workshops, 2009Co-Authors: Zhijia Chen, Yang Zhao, Xin Miao, Ying Chen, Qingbo WangAbstract:As an emerging model for new enterprise data centers, the cloud paradigm provides a disruptive market opportunity to better utilize computing resources and reduce IT complexity. To provide the cloud computing service, the Provisioning of the cloud infrastructure in data centers is a pre-request. However, the Provisioning for systems and applications on large number of physical machines is traditionally a time consuming process, with low assurance on deployment time and cost. This paper thus leverages Peer-to-Peer (P2P) networks to speedup the Provisioning for cloud infrastructure. In the proposed P2P-assisted cloud Provisioning system, BitTorrent-like P2P protocol is utilized to accelerate image delivery to large-scale target machines, by sharing their upload capacity to overcome the traditional bandwidth bottleneck of Provisioning Server. Further, the BitTorrent component is integrated with File system in User space (FUSE) through a message-driven piece selection scheme, to enable virtual machines and requested services in required time. Based on our prototype system, experiments demonstrate the effectiveness of our system in saving deployment time, increasing service availability and reducing traffic cost, leading to high Quality of Service of end users.
Zhijia Chen - One of the best experts on this subject based on the ideXlab platform.
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rapid Provisioning of cloud infrastructure leveraging peer to peer networks
International Conference on Distributed Computing Systems Workshops, 2009Co-Authors: Zhijia Chen, Yang Zhao, Xin Miao, Ying Chen, Qingbo WangAbstract:As an emerging model for new enterprise data centers, the cloud paradigm provides a disruptive market opportunity to better utilize computing resources and reduce IT complexity. To provide the cloud computing service, the Provisioning of the cloud infrastructure in data centers is a pre-request. However, the Provisioning for systems and applications on large number of physical machines is traditionally a time consuming process, with low assurance on deployment time and cost. This paper thus leverages Peer-to-Peer (P2P) networks to speedup the Provisioning for cloud infrastructure. In the proposed P2P-assisted cloud Provisioning system, BitTorrent-like P2P protocol is utilized to accelerate image delivery to large-scale target machines, by sharing their upload capacity to overcome the traditional bandwidth bottleneck of Provisioning Server. Further, the BitTorrent component is integrated with File system in User space (FUSE) through a message-driven piece selection scheme, to enable virtual machines and requested services in required time. Based on our prototype system, experiments demonstrate the effectiveness of our system in saving deployment time, increasing service availability and reducing traffic cost, leading to high Quality of Service of end users.
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ICDCS Workshops - Rapid Provisioning of Cloud Infrastructure Leveraging Peer-to-Peer Networks
2009 29th IEEE International Conference on Distributed Computing Systems Workshops, 2009Co-Authors: Zhijia Chen, Yang Zhao, Xin Miao, Ying Chen, Qingbo WangAbstract:As an emerging model for new enterprise data centers, the cloud paradigm provides a disruptive market opportunity to better utilize computing resources and reduce IT complexity. To provide the cloud computing service, the Provisioning of the cloud infrastructure in data centers is a pre-request. However, the Provisioning for systems and applications on large number of physical machines is traditionally a time consuming process, with low assurance on deployment time and cost. This paper thus leverages Peer-to-Peer (P2P) networks to speedup the Provisioning for cloud infrastructure. In the proposed P2P-assisted cloud Provisioning system, BitTorrent-like P2P protocol is utilized to accelerate image delivery to large-scale target machines, by sharing their upload capacity to overcome the traditional bandwidth bottleneck of Provisioning Server. Further, the BitTorrent component is integrated with File system in User space (FUSE) through a message-driven piece selection scheme, to enable virtual machines and requested services in required time. Based on our prototype system, experiments demonstrate the effectiveness of our system in saving deployment time, increasing service availability and reducing traffic cost, leading to high Quality of Service of end users.
Antony Rowstron - One of the best experts on this subject based on the ideXlab platform.
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migrating Server storage to ssds analysis of tradeoffs
European Conference on Computer Systems, 2009Co-Authors: Dushyanth Narayanan, Eno Thereska, Austin Donnelly, Sameh Elnikety, Antony RowstronAbstract:Recently, flash-based solid-state drives (SSDs) have become standard options for laptop and desktop storage, but their impact on enterprise Server storage has not been studied. Provisioning Server storage is challenging. It requires optimizing for the performance, capacity, power and reliability needs of the expected workload, all while minimizing financial costs. In this paper we analyze a number of workload traces from Servers in both large and small data centers, to decide whether and how SSDs should be used to support each. We analyze both complete replacement of disks by SSDs, as well as use of SSDs as an intermediate tier between disks and DRAM. We describe an automated tool that, given device models and a block-level trace of a workload, determines the least-cost storage configuration that will support the workload's performance, capacity, and fault-tolerance requirements. We found that replacing disks by SSDs is not a costeffective option for any of our workloads, due to the low capacity per dollar of SSDs. Depending on the workload, the capacity per dollar of SSDs needs to increase by a factor of 3-3000 for an SSD-based solution to break even with a diskbased solution. Thus, without a large increase in SSD capacity per dollar, only the smallest volumes, such as system boot volumes, can be cost-effectively migrated to SSDs. The benefit of using SSDs as an intermediate caching tier is also limited: fewer than 10% of our workloads can reduce Provisioning costs by using an SSD tier at today's capacity per dollar, and fewer than 20% can do so at any SSD capacity per dollar. Although SSDs are much more energy-efficient than enterprise disks, the energy savings are outweighed by the hardware costs, and comparable energy savings are achievable with low-power SATA disks.
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EuroSys - Migrating Server storage to SSDs: analysis of tradeoffs
Proceedings of the fourth ACM european conference on Computer systems - EuroSys '09, 2009Co-Authors: Dushyanth Narayanan, Eno Thereska, Austin Donnelly, Sameh Elnikety, Antony RowstronAbstract:Recently, flash-based solid-state drives (SSDs) have become standard options for laptop and desktop storage, but their impact on enterprise Server storage has not been studied. Provisioning Server storage is challenging. It requires optimizing for the performance, capacity, power and reliability needs of the expected workload, all while minimizing financial costs. In this paper we analyze a number of workload traces from Servers in both large and small data centers, to decide whether and how SSDs should be used to support each. We analyze both complete replacement of disks by SSDs, as well as use of SSDs as an intermediate tier between disks and DRAM. We describe an automated tool that, given device models and a block-level trace of a workload, determines the least-cost storage configuration that will support the workload's performance, capacity, and fault-tolerance requirements. We found that replacing disks by SSDs is not a costeffective option for any of our workloads, due to the low capacity per dollar of SSDs. Depending on the workload, the capacity per dollar of SSDs needs to increase by a factor of 3-3000 for an SSD-based solution to break even with a diskbased solution. Thus, without a large increase in SSD capacity per dollar, only the smallest volumes, such as system boot volumes, can be cost-effectively migrated to SSDs. The benefit of using SSDs as an intermediate caching tier is also limited: fewer than 10% of our workloads can reduce Provisioning costs by using an SSD tier at today's capacity per dollar, and fewer than 20% can do so at any SSD capacity per dollar. Although SSDs are much more energy-efficient than enterprise disks, the energy savings are outweighed by the hardware costs, and comparable energy savings are achievable with low-power SATA disks.
Dushyanth Narayanan - One of the best experts on this subject based on the ideXlab platform.
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migrating Server storage to ssds analysis of tradeoffs
European Conference on Computer Systems, 2009Co-Authors: Dushyanth Narayanan, Eno Thereska, Austin Donnelly, Sameh Elnikety, Antony RowstronAbstract:Recently, flash-based solid-state drives (SSDs) have become standard options for laptop and desktop storage, but their impact on enterprise Server storage has not been studied. Provisioning Server storage is challenging. It requires optimizing for the performance, capacity, power and reliability needs of the expected workload, all while minimizing financial costs. In this paper we analyze a number of workload traces from Servers in both large and small data centers, to decide whether and how SSDs should be used to support each. We analyze both complete replacement of disks by SSDs, as well as use of SSDs as an intermediate tier between disks and DRAM. We describe an automated tool that, given device models and a block-level trace of a workload, determines the least-cost storage configuration that will support the workload's performance, capacity, and fault-tolerance requirements. We found that replacing disks by SSDs is not a costeffective option for any of our workloads, due to the low capacity per dollar of SSDs. Depending on the workload, the capacity per dollar of SSDs needs to increase by a factor of 3-3000 for an SSD-based solution to break even with a diskbased solution. Thus, without a large increase in SSD capacity per dollar, only the smallest volumes, such as system boot volumes, can be cost-effectively migrated to SSDs. The benefit of using SSDs as an intermediate caching tier is also limited: fewer than 10% of our workloads can reduce Provisioning costs by using an SSD tier at today's capacity per dollar, and fewer than 20% can do so at any SSD capacity per dollar. Although SSDs are much more energy-efficient than enterprise disks, the energy savings are outweighed by the hardware costs, and comparable energy savings are achievable with low-power SATA disks.
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TPCTC - Measuring Database Performance in Online Services: A Trace-Based Approach
Lecture Notes in Computer Science, 2009Co-Authors: Swaroop V. Kavalanekar, Dushyanth Narayanan, Sriram Sankar, Eno Thereska, Kushagra Vaid, Bruce L. WorthingtonAbstract:Many large-scale online services use structured storage to persist metadata and sometimes data. The structured storage is typically provided by standard database Servers such as Microsoft's SQL Server. It is important to understand the workloads seen by these Servers, both for Provisioning Server hardware as well as to exploit opportunities for energy savings and Server consolidation. In this paper we analyze disk I/O traces from production Servers in four internet services as well as Servers running TPC benchmarks. We show using a range of load metrics that the services differ substantially from each other and from standard TPC benchmarks. Online services also show significant diurnal patterns in load that can be exploited for energy savings or consolidation. We argue that TPC benchmarks do not capture these important characteristics and argue for developing benchmarks that can be parameterized with workload features extracted from live production workload traces.
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EuroSys - Migrating Server storage to SSDs: analysis of tradeoffs
Proceedings of the fourth ACM european conference on Computer systems - EuroSys '09, 2009Co-Authors: Dushyanth Narayanan, Eno Thereska, Austin Donnelly, Sameh Elnikety, Antony RowstronAbstract:Recently, flash-based solid-state drives (SSDs) have become standard options for laptop and desktop storage, but their impact on enterprise Server storage has not been studied. Provisioning Server storage is challenging. It requires optimizing for the performance, capacity, power and reliability needs of the expected workload, all while minimizing financial costs. In this paper we analyze a number of workload traces from Servers in both large and small data centers, to decide whether and how SSDs should be used to support each. We analyze both complete replacement of disks by SSDs, as well as use of SSDs as an intermediate tier between disks and DRAM. We describe an automated tool that, given device models and a block-level trace of a workload, determines the least-cost storage configuration that will support the workload's performance, capacity, and fault-tolerance requirements. We found that replacing disks by SSDs is not a costeffective option for any of our workloads, due to the low capacity per dollar of SSDs. Depending on the workload, the capacity per dollar of SSDs needs to increase by a factor of 3-3000 for an SSD-based solution to break even with a diskbased solution. Thus, without a large increase in SSD capacity per dollar, only the smallest volumes, such as system boot volumes, can be cost-effectively migrated to SSDs. The benefit of using SSDs as an intermediate caching tier is also limited: fewer than 10% of our workloads can reduce Provisioning costs by using an SSD tier at today's capacity per dollar, and fewer than 20% can do so at any SSD capacity per dollar. Although SSDs are much more energy-efficient than enterprise disks, the energy savings are outweighed by the hardware costs, and comparable energy savings are achievable with low-power SATA disks.
Yang Zhao - One of the best experts on this subject based on the ideXlab platform.
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rapid Provisioning of cloud infrastructure leveraging peer to peer networks
International Conference on Distributed Computing Systems Workshops, 2009Co-Authors: Zhijia Chen, Yang Zhao, Xin Miao, Ying Chen, Qingbo WangAbstract:As an emerging model for new enterprise data centers, the cloud paradigm provides a disruptive market opportunity to better utilize computing resources and reduce IT complexity. To provide the cloud computing service, the Provisioning of the cloud infrastructure in data centers is a pre-request. However, the Provisioning for systems and applications on large number of physical machines is traditionally a time consuming process, with low assurance on deployment time and cost. This paper thus leverages Peer-to-Peer (P2P) networks to speedup the Provisioning for cloud infrastructure. In the proposed P2P-assisted cloud Provisioning system, BitTorrent-like P2P protocol is utilized to accelerate image delivery to large-scale target machines, by sharing their upload capacity to overcome the traditional bandwidth bottleneck of Provisioning Server. Further, the BitTorrent component is integrated with File system in User space (FUSE) through a message-driven piece selection scheme, to enable virtual machines and requested services in required time. Based on our prototype system, experiments demonstrate the effectiveness of our system in saving deployment time, increasing service availability and reducing traffic cost, leading to high Quality of Service of end users.
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ICDCS Workshops - Rapid Provisioning of Cloud Infrastructure Leveraging Peer-to-Peer Networks
2009 29th IEEE International Conference on Distributed Computing Systems Workshops, 2009Co-Authors: Zhijia Chen, Yang Zhao, Xin Miao, Ying Chen, Qingbo WangAbstract:As an emerging model for new enterprise data centers, the cloud paradigm provides a disruptive market opportunity to better utilize computing resources and reduce IT complexity. To provide the cloud computing service, the Provisioning of the cloud infrastructure in data centers is a pre-request. However, the Provisioning for systems and applications on large number of physical machines is traditionally a time consuming process, with low assurance on deployment time and cost. This paper thus leverages Peer-to-Peer (P2P) networks to speedup the Provisioning for cloud infrastructure. In the proposed P2P-assisted cloud Provisioning system, BitTorrent-like P2P protocol is utilized to accelerate image delivery to large-scale target machines, by sharing their upload capacity to overcome the traditional bandwidth bottleneck of Provisioning Server. Further, the BitTorrent component is integrated with File system in User space (FUSE) through a message-driven piece selection scheme, to enable virtual machines and requested services in required time. Based on our prototype system, experiments demonstrate the effectiveness of our system in saving deployment time, increasing service availability and reducing traffic cost, leading to high Quality of Service of end users.
