In this paper, a method of balancing both access fre-quency and data amount for a distributed parallel storage system under version management is discussed. We assume the version management method keeps the latest version of file and a number of differential information sets to access previous versions. Since the access frequency for an aged version is tend to be lower than that for the latest version, we control the access frequency distribution by the place-ment of the latest versions, while the data amount distribu-tion is managed by the placement of the differential infor-mation whose size is enough small to adjust the subtle dif-ference of data amount. We propose a distributed directory structure and data placement algorithm, and evalu...
Abstract—The configuration of a distributed storage system with multiple data replicas typically inc...
We investigate an information theoretic problem motivated by storing multiple versions of a data obj...
A massively parallel computer handles massive amount of data with simultaneous access requests from ...
In this paper, a method of handling both access fre-quency skew and data amount skew on a distribute...
International audienceThis paper proposes a new data placement policy to allocate data blocks across...
Distributed version control systems are popular for storing source code, but they are notoriously il...
This paper surveys four proposed large scale distributed stor-age systems with respect to how they m...
Nowadays, replication technique is widely used in data centerstorage systems to prevent data loss. D...
This paper presents a new and efficient method for consistency control of replicated directory files...
In this thesis we address three problems related to self-management of storage networks-data placeme...
In this paper, we discuss a new approach to multi-version concurrency control, called Dynamic Vers...
Part 5: I/O, File Systems, and Data ManagementInternational audienceThis paper presents a novel mech...
Today’s storage systems have a greatchallenge for the long-term storage of massiveamounts of unstruc...
In this paper, we propose a nonstop system upgrade method without significant performance degradatio...
Recently, an interesting dynamic data allocation algorithm for the management of replicated data in ...
Abstract—The configuration of a distributed storage system with multiple data replicas typically inc...
We investigate an information theoretic problem motivated by storing multiple versions of a data obj...
A massively parallel computer handles massive amount of data with simultaneous access requests from ...
In this paper, a method of handling both access fre-quency skew and data amount skew on a distribute...
International audienceThis paper proposes a new data placement policy to allocate data blocks across...
Distributed version control systems are popular for storing source code, but they are notoriously il...
This paper surveys four proposed large scale distributed stor-age systems with respect to how they m...
Nowadays, replication technique is widely used in data centerstorage systems to prevent data loss. D...
This paper presents a new and efficient method for consistency control of replicated directory files...
In this thesis we address three problems related to self-management of storage networks-data placeme...
In this paper, we discuss a new approach to multi-version concurrency control, called Dynamic Vers...
Part 5: I/O, File Systems, and Data ManagementInternational audienceThis paper presents a novel mech...
Today’s storage systems have a greatchallenge for the long-term storage of massiveamounts of unstruc...
In this paper, we propose a nonstop system upgrade method without significant performance degradatio...
Recently, an interesting dynamic data allocation algorithm for the management of replicated data in ...
Abstract—The configuration of a distributed storage system with multiple data replicas typically inc...
We investigate an information theoretic problem motivated by storing multiple versions of a data obj...
A massively parallel computer handles massive amount of data with simultaneous access requests from ...