Dynamic Broadcast Scheduling in DDBMS
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 1
Abstract
This system will address the problem of online scheduling sequential data objects with the principle of periodicity in the context of dynamic information dissemination. Many modern information applications spread dynamically generated data objects and answer the complex query for retrieving multiple data objects. In dynamic environments, data streams need to be online processed rather than being stored and later retrieved to answer queries. Particularly, data objects are produced dynamically by the information providers, interleaved and disseminated efficiently by the broadcasting servers, and associated sequentially in the client sides. The proposed algorithm with a well-specific gain measure function prominently outperforms the FIFO schedule and is able to minimize the mean service access time to the extent close to the theoretical optimum.
Authors and Affiliations
Babu Santhalingam , C. Gunasekar , K. Jayakumar
DISTRIBUTED DATA MINING AND MINING MULTI-AGENT DATA
The problem of distributed data mining isvery important in network problems. Ina distributed environment (such as a sensor or IP network), one has distributed probes placed at strategic locations within the network. The...
CLOUD COMPUTING AND ITS PRICING SCHEMES
Cloud computing is a rapidly emerging technology which involves deployment of various services like software, web services and virtualized infrastructure, as a product on public, private or hybrid clouds on lease basis....
A Novel Document Clustering Algorithm Using Squared Distance Optimization Through Genetic Algorithms
K-Means Algorithm is most widely used algorithms in document clustering. However, it still suffer some shortcomings like random initialization, solution converges to local minima, and empty cluster formation. Genetic alg...
Optimized design of BCD adder and Carry skip BCD adder using reversible logic gates
Reversible logic is very essential for the construction of low power, low loss computational structures which are very essential for the construction of arithmetic circuits used in quantum computation, nano technology an...
Appearance Based Recognition of American Sign Language Using Gesture Segmentation
The work presented in this paper goals to develop a system for automatic translation of static gestures of alphabets in American Sign Language. In doing so three feature extraction methods and neural network is used to r...