This paper explores the feasibility of a cost-efficient storage architecture that offers the reliability and access performance characteristics of a high-end system. This architecture exploits two opportunities: First, scavenging idle storage from LAN-connected desktops not only offers a low-cost storage space, but also high I/O throughput by aggregating the I/O channels of the participating nodes. Second, the two components of data reliability – durability and availability – can be decoupled to control overall system cost. To capitalize on these opportunities, we integrate two types of components: volatile, scavenged storage and dedicated, yet low-bandwidth durable storage. On the one hand, the durable storage forms a low-cost back-end tha...
International audienceDistributed storage systems such as Hadoop File System or Google File System (...
Failure is inevitable: disks fail, hosts crash, networks partition, applications stop. Consequently...
Failure is inevitable: disks fail, hosts crash, networks partition, applications stop. Consequently...
This thesis explores the feasibility of a cost-efficient storage architecture that offers the reliab...
International audienceThis paper surveys previous distributed storage systems and related data redun...
International audienceThis paper surveys previous distributed storage systems and related data redun...
This paper considers replication strategies for storage systems that aggregate the disks of many nod...
Global grid environments do not only provide massive aggregated computing power but also an unpreced...
Data-set sizes are growing. New techniques are emerging to organize and analyze these data-sets. The...
It is a challenge to design and implement a wide-area distributed hash table (DHT) which provides a ...
International audienceDistributed storage systems such as Hadoop File System or Google File System (...
International audienceDistributed storage systems such as Hadoop File System or Google File System (...
International audienceDistributed storage systems such as Hadoop File System or Google File System (...
International audienceDistributed storage systems such as Hadoop File System or Google File System (...
International audienceDistributed storage systems such as Hadoop File System or Google File System (...
International audienceDistributed storage systems such as Hadoop File System or Google File System (...
Failure is inevitable: disks fail, hosts crash, networks partition, applications stop. Consequently...
Failure is inevitable: disks fail, hosts crash, networks partition, applications stop. Consequently...
This thesis explores the feasibility of a cost-efficient storage architecture that offers the reliab...
International audienceThis paper surveys previous distributed storage systems and related data redun...
International audienceThis paper surveys previous distributed storage systems and related data redun...
This paper considers replication strategies for storage systems that aggregate the disks of many nod...
Global grid environments do not only provide massive aggregated computing power but also an unpreced...
Data-set sizes are growing. New techniques are emerging to organize and analyze these data-sets. The...
It is a challenge to design and implement a wide-area distributed hash table (DHT) which provides a ...
International audienceDistributed storage systems such as Hadoop File System or Google File System (...
International audienceDistributed storage systems such as Hadoop File System or Google File System (...
International audienceDistributed storage systems such as Hadoop File System or Google File System (...
International audienceDistributed storage systems such as Hadoop File System or Google File System (...
International audienceDistributed storage systems such as Hadoop File System or Google File System (...
International audienceDistributed storage systems such as Hadoop File System or Google File System (...
Failure is inevitable: disks fail, hosts crash, networks partition, applications stop. Consequently...
Failure is inevitable: disks fail, hosts crash, networks partition, applications stop. Consequently...