The Data Center Helper Suite DaCHS is an integrated publication package for building VO and Web services, supporting the entire workflow from ingestion to data mapping to service definition. It implements all major data discovery, data access, and registry protocols defined by the VO. DaCHS in this sense works as glue between data produced by the data providers and the standard protocols and fo...

We present a new iterative method for probabilistic clustering of data. Given clusters, their centers and the distances of data points from these centers, the probability of cluster membership at any point is assumed inversely proportional to the distance from (the center of) the cluster in question. This assumption is our working principle. The method is a generalization, to several centers, o...

Large, Petabyte-scale data stores need detailed design considerations about distributing and replicating particular parts of the data store in a cost-effective way. Technical issues need to be analysed and, based on these constraints, an optimisation problem can be formulated. In this paper we provide a novel cost model for building a world-wide distributed Petabyte data store which will be in ...

Such watches are known as “PDS” watches. PDS tornado (TOR) watches are issued when the forecaster has high confidence that multiple strong (F2-F3 on the Fujita Scale) or violent tornadoes (F4-F5 on the Fujita Scale) will occur in the watch area, while PDS severe thunderstorm (SEV) watches are issued when there is a threat of a high end “derecho” (e.g. Johns and Hirt 1987, Coniglio et al. 2004) ...

With growing use of internet and exponential growth in amount of data to be stored and processed (known as “big data”), the size of data centers has greatly increased. This, however, has resulted in significant increase in the power consumption of the data centers. For this reason, managing power consumption of data centers has become essential. In this paper, we highlight the need of achieving...

Clustered distributed storage models real data centers where intraand cross-cluster repair bandwidths are different. In this paper, exact-repair minimum-storage-regenerating (MSR) codes achieving capacity of clustered distributed storage are designed. Focus is given on two cases: = 0 and = 1/(n−k), where is the ratio of the available crossand intra-cluster repair bandwidths, n is the total numb...

Big data and cloud computing is the development trend of the global information technology exciting and challenges every day now have a large amount of data and information generated, it provides an opportunity for big data analysis. Cloud computing is the essence of all computing social resources together, to realize automatic management, make all kinds of service providers and users don't nee...

Latency to end-users and regulatory requirements push large companies to build data centers all around the world. The resulting data is “born” geographically distributed. On the other hand, many machine learning applications require a global view of such data in order to achieve the best results. These types of applications form a new class of learning problems, which we call Geo-Distributed Ma...

One of the intended consequences of utilizing simulations in dynamic, data-driven application systems is that the simulations will adjust to new data as it arrives. These adjustments will be difficult because of the unpredictable nature of the world and because simulations are so carefully tuned to model specific operating conditions. Accommodating new data may require adapting or replacing num...

Remote sensing from space can provide global and continuous observations. The associated measurement data need to be stored and studied to understand the Earth system processes. The ability of interactive content-based browsing, i.e., browsing or searching the content to narrowdown the interesting portions of data sets prior to actually accessing or ordering full data sets, is highly desirable ...