Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 1 - 10
of
32
Bringing Linear Algebra Objects to Life in a Column-Oriented In-Memory Database
"... Abstract. Large numeric matrices and multidimensional data arrays appear in many science domains, as well as in applications of financial and business warehousing. Common applications include eigenvalue deter-mination of large matrices, which decompose into a set of linear algebra operations. With t ..."
Abstract
- Add to MetaCart
into an in-memory database following a two-layered architectural model. The architecture consists of a logical component receiving manipulation statements and linear algebra expressions, and of a physical layer, which autonomously administrates multiple matrix storage representations. A cost-based hybrid
Applicability of GPU Computing for Efficient Merge in In-Memory Databases
"... Column oriented in-memory databases typically use dictionary compression to reduce the overall storage space and allow fast lookup and comparison. However, there is a high performance cost for updates since the dictionary, used for compression, has to be recreated each time records are created, upda ..."
Abstract
-
Cited by 1 (0 self)
- Add to MetaCart
Column oriented in-memory databases typically use dictionary compression to reduce the overall storage space and allow fast lookup and comparison. However, there is a high performance cost for updates since the dictionary, used for compression, has to be recreated each time records are created
Column-Stores vs. Row-Stores: How Different Are They Really
- In SIGMOD
, 2008
"... There has been a significant amount of excitement and recent work on column-oriented database systems (“column-stores”). These database systems have been shown to perform more than an order of magnitude better than traditional row-oriented database systems (“row-stores”) on analytical workloads such ..."
Abstract
-
Cited by 85 (5 self)
- Add to MetaCart
that there are some important differences between the two systems at the query executor level (in addition to the obvious differences at the storage layer level). Using the column-store, we then tease apart these differences, demonstrating the impact on performance of a variety of column-oriented query execution
A Flexible and Efficient Alert Correlation Platform for
- Distributed IDS. Fourth International Conference on Network and System Security
, 2010
"... Abstract—Intrusion Detection Systems (IDS) have been widely deployed in practice for detecting malicious behavior on network communication and hosts. The problem of false-positive alerts is a popular existing problem for most of IDS approaches. The solution to address this problem is correlation and ..."
Abstract
-
Cited by 2 (0 self)
- Add to MetaCart
to be the most important factors influ-encing the performance of clustering and correlation. We propose and implement the utilization of memory-supported algorithms and a column-oriented database for correlation and clustering in an extensible IDS correlation platform. The utilization of the column-oriented
SCALABILITY OF SPARSE DIRECT SOLVERS "
"... Abstract. We shall say that a scalable algorithm achieves efficiency that is bounded away from zero as the number of processors and the problem size increase in such a way that the size of the data structures increases linearly with the number of processors. In this paper we show that the column-ori ..."
Abstract
- Add to MetaCart
approach to sparse Cholesky for distributed-memory machines is not scalable. By considering message volume, node contention, and bisection width, one may obtain lower bounds on the time required for communication in a distributed algorithm. Applying this technique to distributed, column-oriented, full
Comparing SSD-placement strategies to scale a Database-in-the-Cloud
"... Flash memory solid state drives (SSDs) have increasingly been advocated and adopted as a means of speeding up and scaling up data-driven applications. However, given the lay-ered software architecture of cloud-based services, there are a number of options available for placing SSDs. In this work, we ..."
Abstract
- Add to MetaCart
interactive visualizations. To meet the tight latency bound, GFT has an in-memory column-oriented query execution servers (QESs). Datasets are en-tirely loaded and indexed on demand into the QES column store. This architecture, though simpler, limits our ability to scale to (a) large individual datasets
*Database Technology Group / †Center for Information Services and High Performance Computing
"... The ever-growing demand for more computing power forces hardware vendors to put an increasing number of multipro-cessors into a single server system, which usually exhibits a non-uniform memory access (NUMA). In-memory database systems running on NUMA platforms face several issues such as the increa ..."
Abstract
- Add to MetaCart
such as the increased latency and the decreased bandwidth when accessing remote main memory. To cope with these NUMA-related issues, NUMA-awareness has to be consid-ered as a major design principle for the fundamental archi-tecture of a database system. In this paper we present ERIS, a NUMA-aware in-memory storage
Neeraj Kumar Sirohi
"... Abstract: As we all know that many different kind of organization need database for required information from different area like analytic, different types of reports and other many reasons. As the organization grows the database also grow into millions of records spared over many tables and busines ..."
Abstract
- Add to MetaCart
to present the need of column-oriented DBMS, architecture design and the working structure of a new type of DBMS which is called Column oriented DBMS also known as read-optimized relational DBMS.in contrasts with most currently used systems, which are write-optimized. Among the differences in its design are
SIMULATION, DEVELOPMENT AND DEPLOYMENT OF MOBILE WIRELESS SENSOR NETWORKS FOR MIGRATORY BIRD TRACKING
, 2012
"... This thesis presents CraneTracker, a multi-modal sensing and communication system for monitoring migratory species at the continental level. By exploiting the robust and extensive cellular infrastructure across the continent, traditional mobile wireless sensor networks can be extended to enable reli ..."
Abstract
- Add to MetaCart
reliable, low-cost monitoring of migratory species. The developed multi-tier architecture yields ecologists with unconventional behavior in-formation not furnished by alternative tracking systems at such a large scale and for a low-cost. The simulation, development and implementation of the Crane
Provisioning
"... Heterogeneous wireless sensor networks represent a challenging programming environment. Servilla addresses this by offering a new middleware framework that provides service provisioning. Using Servilla, developers can construct platform-independent applications over a dynamic set of devices with div ..."
Abstract
- Add to MetaCart
with diverse computational resources and sensors. A salient feature of Servilla is its support for dynamic discovery and binding to local and remote services, which enables flexible and energy-efficient in-network collaboration among heterogeneous devices. Furthermore, Servilla provides a modular middleware
Results 1 - 10
of
32
