Human administration of storage systems is a large and growing issue in modern IT infrastructures. We are exploring new storage architectures that integrate automated management functions and simplify the human administrative task. Self-* storage systems (pronounced “self-star”— a play on the unix shell wild-card character) are self-configuring, self-organizing, self-tuning, self-healing, self-...

Reputation systems have demonstrated their interest in stimulating cooperation in peer-to-peer (P2P) systems, even though they are susceptible to collusion and bashing. In addition, computing reputation generally relies on a partial assessment of the behavior of peers only, which might delay the detection of selfish peers. This situation is rendered even worse in self-organized storage applicat...

This paper describes the design and implementation of a decentralized storage cluster for file storage so as to provide self-organizing, available, scalable, and consistent data management capability for cluster platform. The self-organizing capability of CHT grants our storage cluster the potential to handle both failure and online provisioning gracefully. We use soft-state to manage membershi...

This white paper describes a new project exploring the design and implementation of “self-* storage systems:” self-organizing, self-configuring, self-tuning, self-healing, self-managing systems of storage bricks. Borrowing organizational ideas from corporate structure and automation technologies from AI and control systems, we hope to dramatically reduce the administrative burden currently face...

This white paper describes a new project exploring the design and implementation of “self-* storage systems:” self-organizing, self-configuring, self-tuning, self-healing, self-managing systems of storage bricks. Borrowing organizational ideas from corporate structure and automation technologies from AI and control systems, we hope to dramatically reduce the administrative burden currently face...

Context modeling has emerged as the most promising new approach to compressing text. While context-modeling algorithms provide very good compression, they su er from the disadvantages of being slow and requiring large amounts of main memory in which to execute. We describe a context-model-based algorithm that runs signi cantly faster, uses much less space, and provides compression ratios close ...

Powerful methods for interactive exploration and search from collections of free-form textual documents are needed to manage the ever-increasing flood of digital information. In this article we present a method, WEBSOM, for automatic organization of full-text document collections using the self-organizing map (SOM) algorithm. The document collection is ordered onto a map in an unsupervised mann...