### Citations

496 |
Queueing Systems, Volume I: Theory
- Kleinrock
- 1975
(Show Context)
Citation Context ...l rate on-line transaction processing (OLTP) workload. The probability of a snap is one of the state variables of the process to be controlled (the snapshot process). Also, the change of the probability of a snap as a function of time has implications on the stability of the FuSnap controller as it will be explained at the end of section IV. To understand how the probability of a snap changes the equations that estimate the probability are derived. The snapshot process can be modeled as a process characterized by the binomial distribution. A Markov Chain (MC) with a finite customer population [28] was the starting point. In this section, the term snap will be used as a synonym for copy-on-write. The snapshot process can be modeled by a MC with a finite customer population under the four considerations: 1) the number of data blocks to snap is finite, so the more data blocks are snapped, the lower the probability to snap more is; 2) the write workload applied to the source Fig. 1. Snapshot a) right after creation and b) after copy-on-write (a) (b) volume is random, like OLTP workloads; 3) the size (in KB) of the user writes is the same for all writes to the source volume; and 4) the writ... |

490 | An introduction to disk drive modeling
- Ruemmler, Wilkes
- 1994
(Show Context)
Citation Context ...uzzy controller is illustrated in Fig. 6. The purpose is to minimize the average response time of user accesses tw, and tr during a snapshot process by controlling the dynamics of the snapshot process. Modeling hard disk drives has been an area of research for a long time. While some authors proposed analytical models for hard disk drives, like Shriver et. al. in [31] and Triantafillou et al. in [32], or fuzzy logic approach for disk scheduling policy by Abu et al. [33], other authors claimed that the data driven modeling needs to be used because the disk drives cannot be analytically modeled [30]. Regardless of the school of thought, the modeling and simulation difficulties arise due to the seek scheduling policies or the internal mechanical complexities. Determining an analytical model of a disk array becomes even more difficult when a customer uses a mixture of different disk drives with different mechanical features or disk drives from different manufacturers. It is for these reasons that the authors propose the use of a fuzzy control for the regulation of the snapshot process that takes into account the disk drive characteristics. B. High level modeling of FuSnap The controlled sy... |

84 | Database Replication Using Generalized Snapshot Isolation - Elnikety, Zwaenepoel, et al. - 2005 |

74 | An analytic behavior model for disk drives with readahead caches and request reordering”,
- Shriver, Merchant, et al.
- 1998
(Show Context)
Citation Context ...d in the next section. IV. SNAPSHOT FUZZY CONTROL A. Purpose and Rationale of FuSnap The FuSnap controller can be considered as dynamic and optimal Takagi-Sugeno fuzzy-logic based controller. The block diagram of the FuSnap snapshot fuzzy controller is illustrated in Fig. 6. The purpose is to minimize the average response time of user accesses tw, and tr during a snapshot process by controlling the dynamics of the snapshot process. Modeling hard disk drives has been an area of research for a long time. While some authors proposed analytical models for hard disk drives, like Shriver et. al. in [31] and Triantafillou et al. in [32], or fuzzy logic approach for disk scheduling policy by Abu et al. [33], other authors claimed that the data driven modeling needs to be used because the disk drives cannot be analytically modeled [30]. Regardless of the school of thought, the modeling and simulation difficulties arise due to the seek scheduling policies or the internal mechanical complexities. Determining an analytical model of a disk array becomes even more difficult when a customer uses a mixture of different disk drives with different mechanical features or disk drives from different manufa... |

18 | Point-in-Time Copy: Yesterday, Today and Tomorrow”,
- Azagury, Factor, et al.
- 2002
(Show Context)
Citation Context ...sko@ieee.org). of the original logical volume. This gives users the means to preserve a point-in-time copy (the snapshot) of the data in a source logical volume. If the data in the source gets corrupted or lost, the user can go back to the snapshot and recover the data from that point in time. The original volume with the data to be replicated will be referred to as the source volume, or just the source, for short. The copy of the original volume will be referred to as the snapshot volume, or the snapshot, for short. Improvements in the management of snapshot replication have been proposed in [9]-[13]. Performance improvement in terms of data transfer have been shown in [14] by Guangjun. Shah proposed a Logical Volume Manager 2 (LVM2) scheme that is an optimization of LVM that improved the read performance of the snapshot volume by 40% in [15]. Variations of the basic snapshot algorithm such incremental or iterative snapshots have been proposed before in [16]-[18]. Brinkman et al. proposed a scheme for snapshot in cluster environments [19]. Fuzzy control has been used with Proportional and Integral (PI) control before. Perry et al. in [20] proposed the design of a PI fuzzy logic contr... |

17 | Performance Analysis of Dynamic Finite Versioning Schemes: Storage vs. - Merchant, Wu, et al. - 1996 |

14 | A Comprehensive Analytical Performance Model for Disk Devices under Random Workloads”,
- Triantafillou, Christodoulakis, et al.
- 2002
(Show Context)
Citation Context ...OT FUZZY CONTROL A. Purpose and Rationale of FuSnap The FuSnap controller can be considered as dynamic and optimal Takagi-Sugeno fuzzy-logic based controller. The block diagram of the FuSnap snapshot fuzzy controller is illustrated in Fig. 6. The purpose is to minimize the average response time of user accesses tw, and tr during a snapshot process by controlling the dynamics of the snapshot process. Modeling hard disk drives has been an area of research for a long time. While some authors proposed analytical models for hard disk drives, like Shriver et. al. in [31] and Triantafillou et al. in [32], or fuzzy logic approach for disk scheduling policy by Abu et al. [33], other authors claimed that the data driven modeling needs to be used because the disk drives cannot be analytically modeled [30]. Regardless of the school of thought, the modeling and simulation difficulties arise due to the seek scheduling policies or the internal mechanical complexities. Determining an analytical model of a disk array becomes even more difficult when a customer uses a mixture of different disk drives with different mechanical features or disk drives from different manufacturers. It is for these reasons ... |

11 |
A New Design Method for PI-like Fuzzy Logic Controllers for DC-to-DC Converters,
- Perry, Feng, et al.
- 2004
(Show Context)
Citation Context ... of snapshot replication have been proposed in [9]-[13]. Performance improvement in terms of data transfer have been shown in [14] by Guangjun. Shah proposed a Logical Volume Manager 2 (LVM2) scheme that is an optimization of LVM that improved the read performance of the snapshot volume by 40% in [15]. Variations of the basic snapshot algorithm such incremental or iterative snapshots have been proposed before in [16]-[18]. Brinkman et al. proposed a scheme for snapshot in cluster environments [19]. Fuzzy control has been used with Proportional and Integral (PI) control before. Perry et al. in [20] proposed the design of a PI fuzzy logic controller for dc-dc conversion. Precup et al. in [21] presented a merge of fuzzy and iterative learning control for fuzzy control systems focused on Takagi-Sugeno PI fuzzy controllers. Luo et al. proposed in [22] a fuzzy-PIbased control strategy for static synchronous compensator used in electric power distribution systems. Sun et al. in [23] make use of fuzzy logic reasoning to optimize the gains of PI controller as part of the fuzzy logic based control for flywheel energy storage equipment. Fuzzy control can also be applied to other type of controlle... |

10 |
Storage Network Performance Analysis,”
- Simitci
- 2003
(Show Context)
Citation Context ... are obtained with the FuSnap approach over the traditional Copy-on-Write snap approach. Secondly, these reductions in response time make the point-in-time copy of data a process less disruptive for database users. FuSnap was verified with two setups using HPUX workstations, one setup with 8 and the other with 32 disks. Index Terms— Disk Arrays, Embedded Systems, Fuzzy Control, Fuzzy Logic. I. INTRODUCTION NAPSHOT of logical volumes is an area of research of high interest for storage companies that aim at improving the availability of the data while at the same time providing data replication [1], [6]. Logical volume snapshot is a feature that translates into easier backup management, faster recovery, and reduced exposure to data loss [1], [2]. The snapshot feature is typically provided by storage companies like IBM (Tivoli Storage Manager), HP (Business Copy), EMC (SnapView), NetApp (SnapDrive), and Hitachi (Copy-on-Write Snapshot) [3]-[8]. Furthermore, logical volume snapshots make data mining of the data stored in storage devices easier by enabling users to take “snapshots” of the data at certain points in time. By using the snapshot feature, users can create a point-intime copy of... |

9 | SNAP: efficient snapshots for back-in-time execution”, - Shrira, Xu - 2005 |

8 | Implementation and Performance Evaluation of Two Snapshot Methods on iSCSI Target Storages,” In
- Xiao, Liu, et al.
- 2006
(Show Context)
Citation Context ...-time copy of data a process less disruptive for database users. FuSnap was verified with two setups using HPUX workstations, one setup with 8 and the other with 32 disks. Index Terms— Disk Arrays, Embedded Systems, Fuzzy Control, Fuzzy Logic. I. INTRODUCTION NAPSHOT of logical volumes is an area of research of high interest for storage companies that aim at improving the availability of the data while at the same time providing data replication [1], [6]. Logical volume snapshot is a feature that translates into easier backup management, faster recovery, and reduced exposure to data loss [1], [2]. The snapshot feature is typically provided by storage companies like IBM (Tivoli Storage Manager), HP (Business Copy), EMC (SnapView), NetApp (SnapDrive), and Hitachi (Copy-on-Write Snapshot) [3]-[8]. Furthermore, logical volume snapshots make data mining of the data stored in storage devices easier by enabling users to take “snapshots” of the data at certain points in time. By using the snapshot feature, users can create a point-intime copy of a logical volume or LU (Logical Unit). From the user’s standpoint, the snapshot feature creates an instant copy Manuscript received January 13, 2009.... |

6 |
Fuzzy Control System Performance Enhancement by Iterative Learning Control",
- Precup, Preitl, et al.
- 2008
(Show Context)
Citation Context ...ta transfer have been shown in [14] by Guangjun. Shah proposed a Logical Volume Manager 2 (LVM2) scheme that is an optimization of LVM that improved the read performance of the snapshot volume by 40% in [15]. Variations of the basic snapshot algorithm such incremental or iterative snapshots have been proposed before in [16]-[18]. Brinkman et al. proposed a scheme for snapshot in cluster environments [19]. Fuzzy control has been used with Proportional and Integral (PI) control before. Perry et al. in [20] proposed the design of a PI fuzzy logic controller for dc-dc conversion. Precup et al. in [21] presented a merge of fuzzy and iterative learning control for fuzzy control systems focused on Takagi-Sugeno PI fuzzy controllers. Luo et al. proposed in [22] a fuzzy-PIbased control strategy for static synchronous compensator used in electric power distribution systems. Sun et al. in [23] make use of fuzzy logic reasoning to optimize the gains of PI controller as part of the fuzzy logic based control for flywheel energy storage equipment. Fuzzy control can also be applied to other type of controllers such as proportional and derivative (PD) and proportional, integral and derivative (PID). In... |

5 |
Design and experiments for a class of fuzzy controlled servo systems."
- Precup, Preitl, et al.
- 2008
(Show Context)
Citation Context ...ontrol for flywheel energy storage equipment. Fuzzy control can also be applied to other type of controllers such as proportional and derivative (PD) and proportional, integral and derivative (PID). In [24] Su et al. present the design of a two-input-single-output PD fuzzy controller for nonlinear systems. Wang et al. in [25] propose the design of a control scheme for static var compensators using fuzzy PID for the close loop section. Mostefai et al. in [26] presents a fuzzy observer-based control strategy for the compensation of nonlinear friction in a robot joint structure. Precup et al. in [27] propose a new fuzzy control solution employing 2 degrees of freedom PI fuzzy control for a class or servo systems. This manuscript presents a FuSnap, a fuzzy PI control algorithm that drastically improves the response time of the user requests (reads or writes) during the snapshot process. The organization of this paper is as follows: Section II presents the copy-on-write and redirect-on-write snapshot FuSnap: Fuzzy Control of Logical Volume Snapshot Replication for Disk Arrays Guillermo Navarro, Member, IEEE, Milos Manic, Senior Member, IEEE S techniques. Section III presents a model for the... |

3 | Disk Performance of Copy-On-Write Snapshot Logical Volumes”, master degree thesis,
- Shah
- 2006
(Show Context)
Citation Context ...d recover the data from that point in time. The original volume with the data to be replicated will be referred to as the source volume, or just the source, for short. The copy of the original volume will be referred to as the snapshot volume, or the snapshot, for short. Improvements in the management of snapshot replication have been proposed in [9]-[13]. Performance improvement in terms of data transfer have been shown in [14] by Guangjun. Shah proposed a Logical Volume Manager 2 (LVM2) scheme that is an optimization of LVM that improved the read performance of the snapshot volume by 40% in [15]. Variations of the basic snapshot algorithm such incremental or iterative snapshots have been proposed before in [16]-[18]. Brinkman et al. proposed a scheme for snapshot in cluster environments [19]. Fuzzy control has been used with Proportional and Integral (PI) control before. Perry et al. in [20] proposed the design of a PI fuzzy logic controller for dc-dc conversion. Precup et al. in [21] presented a merge of fuzzy and iterative learning control for fuzzy control systems focused on Takagi-Sugeno PI fuzzy controllers. Luo et al. proposed in [22] a fuzzy-PIbased control strategy for static... |

3 |
Fuzzy-PI-Based Direct-Output-Voltage Control Strategy for the STATCOM Used in Utility Distribution Syst,"
- Luo, Tang, et al.
- 2009
(Show Context)
Citation Context ...erformance of the snapshot volume by 40% in [15]. Variations of the basic snapshot algorithm such incremental or iterative snapshots have been proposed before in [16]-[18]. Brinkman et al. proposed a scheme for snapshot in cluster environments [19]. Fuzzy control has been used with Proportional and Integral (PI) control before. Perry et al. in [20] proposed the design of a PI fuzzy logic controller for dc-dc conversion. Precup et al. in [21] presented a merge of fuzzy and iterative learning control for fuzzy control systems focused on Takagi-Sugeno PI fuzzy controllers. Luo et al. proposed in [22] a fuzzy-PIbased control strategy for static synchronous compensator used in electric power distribution systems. Sun et al. in [23] make use of fuzzy logic reasoning to optimize the gains of PI controller as part of the fuzzy logic based control for flywheel energy storage equipment. Fuzzy control can also be applied to other type of controllers such as proportional and derivative (PD) and proportional, integral and derivative (PID). In [24] Su et al. present the design of a two-input-single-output PD fuzzy controller for nonlinear systems. Wang et al. in [25] propose the design of a control ... |

3 |
Fuzzy-Logic-Based V/f Control of an Induction Motor for a DC Grid Power-Leveling System Using Flywheel Energy Storage Equipment,”
- Sun, Koh, et al.
- 2009
(Show Context)
Citation Context ... have been proposed before in [16]-[18]. Brinkman et al. proposed a scheme for snapshot in cluster environments [19]. Fuzzy control has been used with Proportional and Integral (PI) control before. Perry et al. in [20] proposed the design of a PI fuzzy logic controller for dc-dc conversion. Precup et al. in [21] presented a merge of fuzzy and iterative learning control for fuzzy control systems focused on Takagi-Sugeno PI fuzzy controllers. Luo et al. proposed in [22] a fuzzy-PIbased control strategy for static synchronous compensator used in electric power distribution systems. Sun et al. in [23] make use of fuzzy logic reasoning to optimize the gains of PI controller as part of the fuzzy logic based control for flywheel energy storage equipment. Fuzzy control can also be applied to other type of controllers such as proportional and derivative (PD) and proportional, integral and derivative (PID). In [24] Su et al. present the design of a two-input-single-output PD fuzzy controller for nonlinear systems. Wang et al. in [25] propose the design of a control scheme for static var compensators using fuzzy PID for the close loop section. Mostefai et al. in [26] presents a fuzzy observer-bas... |

3 |
Optimal control design for robust fuzzy friction compensation in a robot joint,"
- Mostefai, Denai, et al.
- 2009
(Show Context)
Citation Context ...bution systems. Sun et al. in [23] make use of fuzzy logic reasoning to optimize the gains of PI controller as part of the fuzzy logic based control for flywheel energy storage equipment. Fuzzy control can also be applied to other type of controllers such as proportional and derivative (PD) and proportional, integral and derivative (PID). In [24] Su et al. present the design of a two-input-single-output PD fuzzy controller for nonlinear systems. Wang et al. in [25] propose the design of a control scheme for static var compensators using fuzzy PID for the close loop section. Mostefai et al. in [26] presents a fuzzy observer-based control strategy for the compensation of nonlinear friction in a robot joint structure. Precup et al. in [27] propose a new fuzzy control solution employing 2 degrees of freedom PI fuzzy control for a class or servo systems. This manuscript presents a FuSnap, a fuzzy PI control algorithm that drastically improves the response time of the user requests (reads or writes) during the snapshot process. The organization of this paper is as follows: Section II presents the copy-on-write and redirect-on-write snapshot FuSnap: Fuzzy Control of Logical Volume Snapshot Re... |

3 |
Oracle Database Performance Tuning Guide 11g Release 1 (11.1)”, Part Number B28274-02, Oracle,
- Chan
- 2008
(Show Context)
Citation Context ...nsiderations: 1) the number of data blocks to snap is finite, so the more data blocks are snapped, the lower the probability to snap more is; 2) the write workload applied to the source Fig. 1. Snapshot a) right after creation and b) after copy-on-write (a) (b) volume is random, like OLTP workloads; 3) the size (in KB) of the user writes is the same for all writes to the source volume; and 4) the writes do not cross the data blocks boundaries, that is, a write will only modify the data within one data block. These assumptions are in line with the accesses to databases, like Oracle for example [29]. The process can be understood intuitively by explaining how the snapping occurs. At the beginning, right after a snapshot volume has been created, the snapshot volume is empty, as there are no snapped data blocks yet. After the creation of the snapshot, write requests from a user come at a constant rate λ into the source volume. Since no data blocks have been snapped, the writes will cause a snap to occur. In more mathematical terms, the probability is one that a write will cause a snap right after the snapshot volume is created. As more data blocks are snapped, the probability of a user wri... |

2 |
A Combined Hard and Soft Variable-Structure Control Scheme for A Class of Nonlinear System,”
- Su, Lee, et al.
- 2009
(Show Context)
Citation Context ...presented a merge of fuzzy and iterative learning control for fuzzy control systems focused on Takagi-Sugeno PI fuzzy controllers. Luo et al. proposed in [22] a fuzzy-PIbased control strategy for static synchronous compensator used in electric power distribution systems. Sun et al. in [23] make use of fuzzy logic reasoning to optimize the gains of PI controller as part of the fuzzy logic based control for flywheel energy storage equipment. Fuzzy control can also be applied to other type of controllers such as proportional and derivative (PD) and proportional, integral and derivative (PID). In [24] Su et al. present the design of a two-input-single-output PD fuzzy controller for nonlinear systems. Wang et al. in [25] propose the design of a control scheme for static var compensators using fuzzy PID for the close loop section. Mostefai et al. in [26] presents a fuzzy observer-based control strategy for the compensation of nonlinear friction in a robot joint structure. Precup et al. in [27] propose a new fuzzy control solution employing 2 degrees of freedom PI fuzzy control for a class or servo systems. This manuscript presents a FuSnap, a fuzzy PI control algorithm that drastically impro... |

2 |
Fuzzy Logic Based Algorithm for Disk Scheduling Policy”,
- Talip, Abdalla, et al.
- 2009
(Show Context)
Citation Context ...er can be considered as dynamic and optimal Takagi-Sugeno fuzzy-logic based controller. The block diagram of the FuSnap snapshot fuzzy controller is illustrated in Fig. 6. The purpose is to minimize the average response time of user accesses tw, and tr during a snapshot process by controlling the dynamics of the snapshot process. Modeling hard disk drives has been an area of research for a long time. While some authors proposed analytical models for hard disk drives, like Shriver et. al. in [31] and Triantafillou et al. in [32], or fuzzy logic approach for disk scheduling policy by Abu et al. [33], other authors claimed that the data driven modeling needs to be used because the disk drives cannot be analytically modeled [30]. Regardless of the school of thought, the modeling and simulation difficulties arise due to the seek scheduling policies or the internal mechanical complexities. Determining an analytical model of a disk array becomes even more difficult when a customer uses a mixture of different disk drives with different mechanical features or disk drives from different manufacturers. It is for these reasons that the authors propose the use of a fuzzy control for the regulation ... |

1 | EMC CLARiiON SnapView Snapshots and Snap Sessions Knowledgebook: A Detailed Review ”, - Corporation - 2008 |

1 |
Inc., “Technical Overview of NetApp SnapDrive”,
- Appliance
- 2007
(Show Context)
Citation Context ...obtained with the FuSnap approach over the traditional Copy-on-Write snap approach. Secondly, these reductions in response time make the point-in-time copy of data a process less disruptive for database users. FuSnap was verified with two setups using HPUX workstations, one setup with 8 and the other with 32 disks. Index Terms— Disk Arrays, Embedded Systems, Fuzzy Control, Fuzzy Logic. I. INTRODUCTION NAPSHOT of logical volumes is an area of research of high interest for storage companies that aim at improving the availability of the data while at the same time providing data replication [1], [6]. Logical volume snapshot is a feature that translates into easier backup management, faster recovery, and reduced exposure to data loss [1], [2]. The snapshot feature is typically provided by storage companies like IBM (Tivoli Storage Manager), HP (Business Copy), EMC (SnapView), NetApp (SnapDrive), and Hitachi (Copy-on-Write Snapshot) [3]-[8]. Furthermore, logical volume snapshots make data mining of the data stored in storage devices easier by enabling users to take “snapshots” of the data at certain points in time. By using the snapshot feature, users can create a point-intime copy of a lo... |

1 | Examining Hitachi Copy-on-Write Snapshot Software Capabilities for Hitachi Thunder 9500™ - Bertrand - 2004 |

1 |
Realizing Multilevel Snapshots in Dynamically Changing Virtualized Storage Environments,”
- Brinkmann, Effert, et al.
- 2006
(Show Context)
Citation Context ...ieee.org). of the original logical volume. This gives users the means to preserve a point-in-time copy (the snapshot) of the data in a source logical volume. If the data in the source gets corrupted or lost, the user can go back to the snapshot and recover the data from that point in time. The original volume with the data to be replicated will be referred to as the source volume, or just the source, for short. The copy of the original volume will be referred to as the snapshot volume, or the snapshot, for short. Improvements in the management of snapshot replication have been proposed in [9]-[13]. Performance improvement in terms of data transfer have been shown in [14] by Guangjun. Shah proposed a Logical Volume Manager 2 (LVM2) scheme that is an optimization of LVM that improved the read performance of the snapshot volume by 40% in [15]. Variations of the basic snapshot algorithm such incremental or iterative snapshots have been proposed before in [16]-[18]. Brinkman et al. proposed a scheme for snapshot in cluster environments [19]. Fuzzy control has been used with Proportional and Integral (PI) control before. Perry et al. in [20] proposed the design of a PI fuzzy logic controller... |

1 |
Feng Wang; Gang Wang; XiaoGuang Liu.; Jing Liu, “ESnapII – A Writable Dependent Snapshot System with Shared Cache”,
- Guangjun, Qi
- 2008
(Show Context)
Citation Context ...eserve a point-in-time copy (the snapshot) of the data in a source logical volume. If the data in the source gets corrupted or lost, the user can go back to the snapshot and recover the data from that point in time. The original volume with the data to be replicated will be referred to as the source volume, or just the source, for short. The copy of the original volume will be referred to as the snapshot volume, or the snapshot, for short. Improvements in the management of snapshot replication have been proposed in [9]-[13]. Performance improvement in terms of data transfer have been shown in [14] by Guangjun. Shah proposed a Logical Volume Manager 2 (LVM2) scheme that is an optimization of LVM that improved the read performance of the snapshot volume by 40% in [15]. Variations of the basic snapshot algorithm such incremental or iterative snapshots have been proposed before in [16]-[18]. Brinkman et al. proposed a scheme for snapshot in cluster environments [19]. Fuzzy control has been used with Proportional and Integral (PI) control before. Perry et al. in [20] proposed the design of a PI fuzzy logic controller for dc-dc conversion. Precup et al. in [21] presented a merge of fuzzy and... |

1 |
Xu Lu; Feng Shuo; Yin Yang, “The Design and Implementation of an Iterative Snapshot System”,
- Zhenjun
- 2006
(Show Context)
Citation Context ...the source volume, or just the source, for short. The copy of the original volume will be referred to as the snapshot volume, or the snapshot, for short. Improvements in the management of snapshot replication have been proposed in [9]-[13]. Performance improvement in terms of data transfer have been shown in [14] by Guangjun. Shah proposed a Logical Volume Manager 2 (LVM2) scheme that is an optimization of LVM that improved the read performance of the snapshot volume by 40% in [15]. Variations of the basic snapshot algorithm such incremental or iterative snapshots have been proposed before in [16]-[18]. Brinkman et al. proposed a scheme for snapshot in cluster environments [19]. Fuzzy control has been used with Proportional and Integral (PI) control before. Perry et al. in [20] proposed the design of a PI fuzzy logic controller for dc-dc conversion. Precup et al. in [21] presented a merge of fuzzy and iterative learning control for fuzzy control systems focused on Takagi-Sugeno PI fuzzy controllers. Luo et al. proposed in [22] a fuzzy-PIbased control strategy for static synchronous compensator used in electric power distribution systems. Sun et al. in [23] make use of fuzzy logic reaso... |

1 | Wang Gang; Liu Jing, “Design of repetitious points incremental snapshots based on same snapshot volume”, Computer engineering and applications, - Guangping - 2005 |

1 |
A Technology of Implementing Sequential Points Snapshot in the Storage Subsystem”, Computer engineering and applications,
- Zhong, Gang, et al.
- 2004
(Show Context)
Citation Context ...ource volume, or just the source, for short. The copy of the original volume will be referred to as the snapshot volume, or the snapshot, for short. Improvements in the management of snapshot replication have been proposed in [9]-[13]. Performance improvement in terms of data transfer have been shown in [14] by Guangjun. Shah proposed a Logical Volume Manager 2 (LVM2) scheme that is an optimization of LVM that improved the read performance of the snapshot volume by 40% in [15]. Variations of the basic snapshot algorithm such incremental or iterative snapshots have been proposed before in [16]-[18]. Brinkman et al. proposed a scheme for snapshot in cluster environments [19]. Fuzzy control has been used with Proportional and Integral (PI) control before. Perry et al. in [20] proposed the design of a PI fuzzy logic controller for dc-dc conversion. Precup et al. in [21] presented a merge of fuzzy and iterative learning control for fuzzy control systems focused on Takagi-Sugeno PI fuzzy controllers. Luo et al. proposed in [22] a fuzzy-PIbased control strategy for static synchronous compensator used in electric power distribution systems. Sun et al. in [23] make use of fuzzy logic reasoning ... |

1 |
Snapshots and Continous Data Replication in Cluster Storage Environments",
- Brinkmann, Effert
- 2007
(Show Context)
Citation Context ...will be referred to as the snapshot volume, or the snapshot, for short. Improvements in the management of snapshot replication have been proposed in [9]-[13]. Performance improvement in terms of data transfer have been shown in [14] by Guangjun. Shah proposed a Logical Volume Manager 2 (LVM2) scheme that is an optimization of LVM that improved the read performance of the snapshot volume by 40% in [15]. Variations of the basic snapshot algorithm such incremental or iterative snapshots have been proposed before in [16]-[18]. Brinkman et al. proposed a scheme for snapshot in cluster environments [19]. Fuzzy control has been used with Proportional and Integral (PI) control before. Perry et al. in [20] proposed the design of a PI fuzzy logic controller for dc-dc conversion. Precup et al. in [21] presented a merge of fuzzy and iterative learning control for fuzzy control systems focused on Takagi-Sugeno PI fuzzy controllers. Luo et al. proposed in [22] a fuzzy-PIbased control strategy for static synchronous compensator used in electric power distribution systems. Sun et al. in [23] make use of fuzzy logic reasoning to optimize the gains of PI controller as part of the fuzzy logic based contr... |

1 |
Chuang Fu, Yao Zhang, "SVC Control System Based on Instantaneous Reactive Power Theory and Fuzzy PID,"
- Wang
- 2008
(Show Context)
Citation Context ...trollers. Luo et al. proposed in [22] a fuzzy-PIbased control strategy for static synchronous compensator used in electric power distribution systems. Sun et al. in [23] make use of fuzzy logic reasoning to optimize the gains of PI controller as part of the fuzzy logic based control for flywheel energy storage equipment. Fuzzy control can also be applied to other type of controllers such as proportional and derivative (PD) and proportional, integral and derivative (PID). In [24] Su et al. present the design of a two-input-single-output PD fuzzy controller for nonlinear systems. Wang et al. in [25] propose the design of a control scheme for static var compensators using fuzzy PID for the close loop section. Mostefai et al. in [26] presents a fuzzy observer-based control strategy for the compensation of nonlinear friction in a robot joint structure. Precup et al. in [27] propose a new fuzzy control solution employing 2 degrees of freedom PI fuzzy control for a class or servo systems. This manuscript presents a FuSnap, a fuzzy PI control algorithm that drastically improves the response time of the user requests (reads or writes) during the snapshot process. The organization of this paper ... |