Search Results - (( java application mining algorithm ) OR ( data application scheduling algorithm ))*
Search alternatives:
- application scheduling »
- application mining »
- java application »
- mining algorithm »
- data application »
-
1
Direct approach for mining association rules from structured XML data
Published 2012Get full text
Get full text
Thesis -
2
-
3
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
Get full text
Get full text
Get full text
Article -
4
Development of heuristic task scheduling algorithm in cloud computing
Published 2016“…To this direction, in this paper we make a summary of some scheduling algorithms and propose an Enhanced Greedy Heuristic Scheduling Algorithm (EGHSA) for task scheduling adapted for big data applications. …”
Get full text
Get full text
Proceeding Paper -
5
-
6
Two objectives big data task scheduling using swarm intelligence in cloud computing
Published 2016“…However, these scheduling algorithms vary in term of their performance and most of these traditional and simple scheduling algorithms may not be efficient for large scale data. …”
Get full text
Get full text
Get full text
Article -
7
Simulated annealing algorithm for scheduling divisible load in large scale data grids.
Published 2009“…This paper proposes a novel Simulated Annealing (SA) algorithm for scheduling divisible load in large scale data grids. …”
Get full text
Get full text
Article -
8
Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
9
A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
10
Improved genetic algorithm for scheduling divisible data grid application
Published 2007“…In this paper, we exploit this property and propose an Improved Genetic Algorithm (IGA) for scheduling divisible data grid applications. …”
Get full text
Get full text
Conference or Workshop Item -
11
-
12
Simulated annealing algorithm for scheduling divisible load in large scale data grids
Published 2008“…This paper proposes a novel simulated annealing (SA) algorithm for scheduling divisible load in large scale data grids. …”
Get full text
Get full text
Conference or Workshop Item -
13
MapReduce scheduling algorithms: a review
Published 2020“…Scheduling plays an important role in big data, mainly in reducing the execution time and cost of processing. …”
Get full text
Get full text
Get full text
Get full text
Article -
14
MapReduce scheduling algorithms: a review
Published 2018“…Scheduling plays an important role in big data, mainly in reducing the execution time and cost of processing. …”
Get full text
Get full text
Get full text
Article -
15
A novel scheduling algorithm based on game theory and multicriteria decision making in LTE network
Published 2015“…The novel algorithm has proven to be an effective scheduling technique for smart grid applications.…”
Get full text
Get full text
Get full text
Article -
16
Mining Sequential Patterns using I-PrefixSpan
Published 2008Get full text
Get full text
Citation Index Journal -
17
-
18
Survey on job scheduling mechanisms in grid environment
Published 2015“…Grid systems provide geographically distributed resources for both computational intensive and data-intensive applications.These applications generate large data sets.However, the high latency imposed by the underlying technologies; upon which the grid system is built (such as the Internet and WWW), induced impediment in the effective access to such huge and widely distributed data.To minimize this impediment, jobs need to be scheduled across grid environments to achieve efficient data access.Scheduling multiple data requests submitted by grid users onto the grid environment is NP-hard.Thus, there is no best scheduling algorithm that cuts across all grids computing environments.Job scheduling is one of the key research area in grid computing.In the recent past many researchers have proposed different mechanisms to help scheduling of user jobs in grid systems.Some characteristic features of the grid components; such as machines types and nature of jobs at hand means that a choice needs to be made for an appropriate scheduling algorithm to march a given grid environment.The aim of scheduling is to achieve maximum possible system throughput and to match the application needs with the available computing resources.This paper is motivated by the need to explore the various job scheduling techniques alongside their area of implementation.The paper will systematically analyze the strengths and weaknesses of some selected approaches in the area of grid jobs scheduling.This helps researchers better understand the concept of scheduling, and can contribute in developing more efficient and practical scheduling algorithms.This will also benefit interested researchers to carry out further work in this dynamic research area.…”
Get full text
Get full text
Get full text
Article -
19
Enhanced utility accrual scheduling algorithms for adaptive real time system.
Published 2009Get full text
Article -
20
Deadline guarantee for scientific workflow using dynamic scheduling algorithms on IaaS clouds
Published 2018“…Finally, we expected the scheduling algorithms PDC and DCCP to be improve the Cloud resource usage high efficiency in the IaaS Cloud with efficient scheduling for scientific workflow.…”
Get full text
Get full text
Thesis
