Institution
EMC Corporation
About: EMC Corporation is a based out in . It is known for research contribution in the topics: Computer data storage & Backup. The organization has 4356 authors who have published 6237 publications receiving 132187 citations.
Topics: Computer data storage, Backup, File system, Cache, Computer file
Papers published on a yearly basis
Papers
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TL;DR: This paper defines and explores proofs of retrievability (PORs), a POR scheme that enables an archive or back-up service to produce a concise proof that a user can retrieve a target file F, that is, that the archive retains and reliably transmits file data sufficient for the user to recover F in its entirety.
Abstract: In this paper, we define and explore proofs of retrievability (PORs). A POR scheme enables an archive or back-up service (prover) to produce a concise proof that a user (verifier) can retrieve a target file F, that is, that the archive retains and reliably transmits file data sufficient for the user to recover F in its entirety.A POR may be viewed as a kind of cryptographic proof of knowledge (POK), but one specially designed to handle a large file (or bitstring) F. We explore POR protocols here in which the communication costs, number of memory accesses for the prover, and storage requirements of the user (verifier) are small parameters essentially independent of the length of F. In addition to proposing new, practical POR constructions, we explore implementation considerations and optimizations that bear on previously explored, related schemes.In a POR, unlike a POK, neither the prover nor the verifier need actually have knowledge of F. PORs give rise to a new and unusual security definition whose formulation is another contribution of our work.We view PORs as an important tool for semi-trusted online archives. Existing cryptographic techniques help users ensure the privacy and integrity of files they retrieve. It is also natural, however, for users to want to verify that archives do not delete or modify files prior to retrieval. The goal of a POR is to accomplish these checks without users having to download the files themselves. A POR can also provide quality-of-service guarantees, i.e., show that a file is retrievable within a certain time bound.
1,783 citations
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28 Oct 2007TL;DR: In this article, the authors define and explore proofs of retrievability (PORs), which are a kind of cryptographic proof of knowledge (POK) that enables an archive or back-up service (prover) to produce a concise proof that a user (verifier) can retrieve a target file F, that is, that the archive retains and reliably transmits file data sufficient for the user to recover F in its entirety.
Abstract: In this paper, we define and explore proofs of retrievability (PORs). A POR scheme enables an archive or back-up service (prover) to produce a concise proof that a user (verifier) can retrieve a target file F, that is, that the archive retains and reliably transmits file data sufficient for the user to recover F in its entirety.A POR may be viewed as a kind of cryptographic proof of knowledge (POK), but one specially designed to handle a large file (or bitstring) F. We explore POR protocols here in which the communication costs, number of memory accesses for the prover, and storage requirements of the user (verifier) are small parameters essentially independent of the length of F. In addition to proposing new, practical POR constructions, we explore implementation considerations and optimizations that bear on previously explored, related schemes.In a POR, unlike a POK, neither the prover nor the verifier need actually have knowledge of F. PORs give rise to a new and unusual security definition whose formulation is another contribution of our work.We view PORs as an important tool for semi-trusted online archives. Existing cryptographic techniques help users ensure the privacy and integrity of files they retrieve. It is also natural, however, for users to want to verify that archives do not delete or modify files prior to retrieval. The goal of a POR is to accomplish these checks without users having to download the files themselves. A POR can also provide quality-of-service guarantees, i.e., show that a file is retrievable within a certain time bound.
1,652 citations
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20 Apr 1994TL;DR: In this paper, a data storage system which automatically provides and maintains identical secondary data on a preferably geographically remote secondary data storage device is described, which includes a primary host computer located in the first geographic location which is coupled to a primary storage system also located in a geographically remote location.
Abstract: A data storage system which automatically provides and maintains identical secondary data on a preferably geographically remote secondary data storage device. The system includes a primary host computer located in the first geographic location which is coupled to a primary data storage system also located in the first geographic location. The primary data storage system includes at least one primary data storage device on which primary data is to be stored, and a primary data storage system controller which receives data from the primary host computer and controls the storing of the primary data on the primary data storage device. The primary data storage controller is coupled by high speed communication link to a secondary data storage system controller of a secondary data storage system, and coordinates the copying of the primary data to the secondary data storing system, and is responsive to an acknowledgement from the secondary data storage system controller of at least successful receipt of the primary data for updating the maintained list of the primary data to indicate that the copied primary data has been received by the secondary data storage system to be copied to the secondary data storage device.
1,185 citations
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11 Jan 2002TL;DR: In this article, a virtualization system allocates physical storage from a storage pool dynamically in response to host I/O requests, allowing for the amortization of storage resources through a disk subsystem while maintaining coherency amongst I /O RAID traffic.
Abstract: Storage virtualization systems and methods that allow customers to manage storage as a utility rather than as islands of storage which are independent of each other. A demand mapped virtual disk image of up to an arbitrarily large size is presented to a host system. The virtualization system allocates physical storage from a storage pool dynamically in response to host I/O requests, e.g., SCSI I/O requests, allowing for the amortization of storage resources through a disk subsystem while maintaining coherency amongst I/O RAID traffic. In one embodiment, the virtualization functionality is implemented in a controller device, such as a controller card residing in a switch device or other network device, coupled to a storage system on a storage area network (SAN). The resulting virtual disk image that is observed by the host computer is larger than the amount of physical storage actually consumed.
1,133 citations
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28 Sep 2001TL;DR: In this article, a file system includes at least one directory having at least 1 file containing data, but about which at least another file has no information, and a repository of metadata provides information about the data in the files.
Abstract: A file system and method serves to create and manage content. The file system includes at least one directory having at least one file containing data, but about which at least one file has no information. A repository of metadata provides information about the data in the files. Phantom files are created which are designated by names and associated attributes, point to data in base files, without specifying a path name to the base files.
1,110 citations
Authors
Showing all 4356 results
Name | H-index | Papers | Citations |
---|---|---|---|
Randy H. Katz | 102 | 420 | 60678 |
Ronald L. Rivest | 89 | 362 | 83435 |
Ran Canetti | 83 | 308 | 38660 |
Caroline C W Klaver | 79 | 352 | 28651 |
Kai Li | 76 | 220 | 56127 |
Assaf Natanzon | 75 | 231 | 12221 |
Ari Juels | 75 | 207 | 29852 |
Sourav Ghosh | 73 | 287 | 50764 |
Moses Charikar | 64 | 218 | 19458 |
Jean-Jacques Greffet | 63 | 307 | 15413 |
Roberto Tamassia | 62 | 327 | 17890 |
Paul Syverson | 50 | 144 | 15073 |
Cristina V. Lopes | 49 | 222 | 13043 |
Marten van Dijk | 48 | 242 | 12354 |
David M. Cohen | 47 | 142 | 9935 |