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Given a very large data set distributed over a cluster of several nodes, this paper addresses the problem of selecting a few data instances that best represent the entire data set. The solution to this problem is of a crucial importance in the big data era as it enables data analysts to understand the insights of the data and explore its hidden structure. The selected instances can also be used for...
Explosion in Big Data has led to a surge in extremely large-scale Big Data analytics platforms, resulting in burgeoning energy costs. Big Data compute model mandates strong data-locality for computational performance, and moves computations to data. State-of-the-art cooling energy management techniques rely on thermal-aware computational job placement/migration and are inherently data-placement-agnostic...
Typical models for analysis of storage system reliability assume independent and exponentially distributed times to failure. Also the rebuild time periods are often assumed to be deterministic or to follow an exponential distribution, or alternatively a Weibull distribution. As a first step towards a generalization of these models, we consider more general non-exponential distributions for failure...
Many new storage systems provide some form of data reduction. In a recent paper we investigate how compression and de-duplication can be mixed in primary storage systems serving active data. In this paper we try to answer the question someone would ask before upgrading to a new, data reduction enabled storage server: how much storage savings the new system would offer for the data I have stored right...
When a hard disk drive (HDD) performs track-seeking operations, mechanical vibration modes are often excited and the performance of the HDD is degraded. Unlike disturbances coming from outside of the drive, self-induced vibrations are excited by seek motions of the HDD, but they are amplified by internal and/or external mechanical modes of the HDD. A soft mounting mechanism of a HDD in a laptop PC...
In this paper, storage clouds are online services for leasing disk storage. A new modeling tool, formulated from empirical data spanning many years, lets organizations rationally evaluate the benefit of using storage clouds versus purchasing hard disk drives. The business of selling infrastructure as a service through the Internet is growing. This technology trend, also known as cloud computing, lets...
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