Wavelets for Querying Multidimensional Datasets

2011 ◽  
pp. 1196-1200
Author(s):  
Cyrus Shahabi ◽  
Dimitris Sacharidis ◽  
Mehrdad Jahangiri
Keyword(s):  
Statistical Analysis ◽  
Wavelet Transformation ◽  
Storage Capacity ◽  
Ongoing Research ◽  
Complex Queries ◽  
Multidimensional Datasets ◽  
Processing Power ◽  
Continuous Interaction ◽  
And Storage ◽  
Aggregate Functions

Following the constant technological advancements that provide more processing power and storage capacity, scientific applications have emerged as a new field of interest for the database community. Such applications, termed Online Science Applications (OSA), require continuous interaction with datasets of multidimensional nature, mainly for performing statistical analysis. OSA can seriously benefit from the ongoing research for OLAP systems and the pre-calculation of aggregate functions for multidimensional datasets. One of the tools that we see fit for the task in hand is the wavelet transformation. Due to its inherent multi-resolution properties, wavelets can be utilized to provide progressively approximate and eventually fast exact answers to complex queries in the context of Online Science Applications.

Effectively and Efficiently Designing and Querying Parallel Relational Data Warehouses on Heterogeneous Database Clusters

2012 ◽  
Vol 23 (4) ◽  
pp. 17-51 ◽  
Author(s):  
Ladjel Bellatreche ◽  
Alfredo Cuzzocrea ◽  
Soumia Benkrid
Keyword(s):  
Storage Capacity ◽  
Cost Model ◽  
Hill Climbing ◽  
Data Allocation ◽  
Cost Models ◽  
Data Warehouses ◽  
Heterogeneous Database ◽  
Traditional Design ◽  
Processing Power ◽  
And Storage

In this paper, a comprehensive methodology for designing and querying Parallel Rational Data Warehouses (PRDW) over database clusters, called Fragmentation & Allocation (F&A) is proposed. F&A assumes that cluster nodes are heterogeneous in processing power and storage capacity, contrary to traditional design approaches that assume that cluster nodes are instead homogeneous, and fragmentation and allocation phases are performed in a simultaneous manner. In classical approaches, two different cost models are used to perform fragmentation and allocation, separately, whereas F&A makes use of one cost model that considers fragmentation and allocation parameters simultaneously. Therefore, according to the F&A methodology proposed, the allocation phase/decision is done at fragmentation. At the fragmentation phase, F&A uses two well-known algorithms, namely Hill Climbing (HC) and Genetic Algorithm (GA), which the authors adapt to the main PRDW design problem over heterogeneous database clusters, as these algorithms are capable of taking into account the heterogeneous characteristics of the reference application scenario. At the allocation phase, F&A introduces an innovative matrix-based formalism capable of capturing the interactions among fragments, input queries, and cluster node characteristics, driving the data allocation task accordingly, and a related affinity-based algorithm, called F&A-ALLOC. Finally, their proposal is experimentally assessed and validated against the widely-known data warehouse benchmark APB-1 release II.

The corpus revolution revisited

English Today ◽  
2008 ◽  
Vol 24 (1) ◽  
pp. 23-27 ◽  
Author(s):  
Michael Rundell
Keyword(s):  
Storage Capacity ◽  
Computer Processing ◽  
Processing Power ◽  
The World ◽  
And Storage ◽  
The Way

ABSTRACTStarts with an excerpt from Michael Rundell and Penny Stock, The Corpus revolution (ET30, 1992). An update on the rise and rise of electronic language corpora and their impact on dictionaries. How dramatically the world has changed since Penny Stock and I wrote about the ‘Corpus Revolution’ in 1992.At the time, it was not hard to predict that computer processing power and storage capacity would carry on doubling each year. It was already clear, too, that the arrival of the corpus would revolutionize the work of dictionary-makers – hence the title of our articles. These changes were well under way in 1992 and, sixteen years on, their effects are still being felt. In the process, dictionaries have got dramatically better – if by ‘better’ we mean that the description of language they provide corresponds more closely to the way people actually use words when they communicate with one another.

scholarly journals Transparent CoAP Services to IoT Endpoints through ICN Operator Networks

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1339 ◽  
Author(s):  
Hasan Islam ◽  
Dmitrij Lagutin ◽  
Antti Ylä-Jääski ◽  
Nikos Fotiou ◽  
Andrei Gurtov
Keyword(s):  
Storage Capacity ◽  
Communication Overhead ◽  
Full Potential ◽  
Core Network ◽  
Computation Complexity ◽  
State Management ◽  
Iot Devices ◽  
Novel Applications ◽  
And Storage ◽  
The Internet Of Things

The Constrained Application Protocol (CoAP) is a specialized web transfer protocol which is intended to be used for constrained networks and devices. CoAP and its extensions (e.g., CoAP observe and group communication) provide the potential for developing novel applications in the Internet-of-Things (IoT). However, a full-fledged CoAP-based application may require significant computing capability, power, and storage capacity in IoT devices. To address these challenges, we present the design, implementation, and experimentation with the CoAP handler which provides transparent CoAP services through the ICN core network. In addition, we demonstrate how the CoAP traffic over an ICN network can unleash the full potential of the CoAP, shifting both overhead and complexity from the (constrained) endpoints to the ICN network. The experiments prove that the CoAP Handler helps to decrease the required computation complexity, communication overhead, and state management of the CoAP server.

scholarly journals Transport and storage of serotonin by thrombin-treated platelets.

1975 ◽  
Vol 65 (2) ◽  
pp. 359-372 ◽  
Author(s):  
H J Reimers ◽  
D J Allen ◽  
I A Feuerstein ◽  
J F Mustard
Keyword(s):  
Storage Capacity ◽  
Platelet Membrane ◽  
Transport Rate ◽  
Primary Reason ◽  
High Concentration ◽  
Serotonin Content ◽  
Amine Storage ◽  
Storage Granules ◽  
And Storage ◽  
Amine Storage Granules

Repeated thrombin treatment of washed platelets prepared from rabbits can decrease the serotonin content of the platelets by about 80%. When these platelets are deaggregated they reaccumulate serotonin but their storage capacity for serotonin is reduced by about 60%. If thrombin-pretreated platelets are allowed to equilibrate with a high concentration of serotonin (123 mu M), they release a smaller percentage of their total serotonin upon further thrombin treatment, in comparison with the percentage of serotonin released from control platelets equilibrated with the same concentration of serotonin calculations indicate that in thrombin-treated platelets reequilibrated with serotonin, two-thirds of the serotonin is in the granule compartment and one-third is in the extragranular compartment, presumably the cytoplasm. Analysis of the exchange of serotonin between the suspending fluid and the platelets showed that thrombin treatment does not alter the transport rate of serotonin across the platelet membrane and does not cause increased diffusion of serotonin from the platelets into the suspending fluid. The primary reason for the reduced serotonin accumulation by the thrombin-treated platelets appears to be loss of amine storage granules or of the storage capacity within the granules.

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