Add to ORKGBlock correlations are common semantic patterns in storage systems. These correlations can be exploited for improving the effectiveness of storage caching, prefetching, data layout and disk scheduling. Unfortunately, information about block correlations is not available at the storage system level. Previous approaches for discovering file correlations in file systems do not scale well enough to be used for discovering block correlations in storage systems. In this paper, we propose C-Miner, an algorithm which uses a data mining technique called frequent sequence mining to discover block correlations in storage systems. C-Miner runs reasonably fast with feasible space requirement, indicating that it is a practical tool for dynamically inferr...
An efficient design for a distributed filesystem originates from a deep understanding of common acce...
Methods for efficient mining of frequent patterns have been studied extensively by many researchers....
[[abstract]]Owing to the great advent of sensor technology, the usage data of appliances in a house ...
Block correlations are common semantic patterns in storage systems. They can be exploited for im-pro...
File correlations have become an increasingly important consideration for performance enhancement in...
Object correlations are common semantic patterns in virtual reality systems. They can be exploited f...
In this work, we propose a new mining-based file caching scheme for a hybrid storage disk system. In...
In this work, we propose a new mining-based file caching scheme for a hybrid storage disk system. In...
A package of context information, called a Correlation Context (e.g., a “context” object), can be ge...
Object correlations are common semantic patterns in virtual environments. They can be exploited to ...
File correlations have become an increasingly important consideration for performance enhancement in...
To maximize the benefit and minimize the overhead of software-based latency tolerance techniques, we...
Frequent pattern mining has been a widely used in the area of discovering association and correlatio...
Frequent itemset mining is an important problem in the data mining area with a wide range of applica...
Data Mining requires versatile computational techniques for analyzing patterns among large and div...
An efficient design for a distributed filesystem originates from a deep understanding of common acce...
Methods for efficient mining of frequent patterns have been studied extensively by many researchers....
[[abstract]]Owing to the great advent of sensor technology, the usage data of appliances in a house ...
Block correlations are common semantic patterns in storage systems. They can be exploited for im-pro...
File correlations have become an increasingly important consideration for performance enhancement in...
Object correlations are common semantic patterns in virtual reality systems. They can be exploited f...
In this work, we propose a new mining-based file caching scheme for a hybrid storage disk system. In...
In this work, we propose a new mining-based file caching scheme for a hybrid storage disk system. In...
A package of context information, called a Correlation Context (e.g., a “context” object), can be ge...
Object correlations are common semantic patterns in virtual environments. They can be exploited to ...
File correlations have become an increasingly important consideration for performance enhancement in...
To maximize the benefit and minimize the overhead of software-based latency tolerance techniques, we...
Frequent pattern mining has been a widely used in the area of discovering association and correlatio...
Frequent itemset mining is an important problem in the data mining area with a wide range of applica...
Data Mining requires versatile computational techniques for analyzing patterns among large and div...
An efficient design for a distributed filesystem originates from a deep understanding of common acce...
Methods for efficient mining of frequent patterns have been studied extensively by many researchers....
[[abstract]]Owing to the great advent of sensor technology, the usage data of appliances in a house ...