and cluster computing
The optimize load balancing in cluster computing
... we have already introduce that our algorithm work in cluster computing environment . It adopt the modal of message passing interface master slave architecture . It is applicable to multiple job multi ...
6
An Enhanced Cluster Computing System for IOT Based WSN
... protocol cluster head transfer the data to the admin that is IOT server through cloud in real ...the cluster head. By using cluster computing system we get better energy efficiency when ...
7
UNDERSTANDING THE IMPACT OF MULTI-CORE ARCHITECTURE IN CLUSTER COMPUTING
... hand, cluster has been one of the most popular models in parallel computing for ...multi-core cluster through evaluation, and explore possible ...
6
Relation between Interconnection Technologies for Cluster Computing
... Modern computing environments require low latency, high bandwidth and full time ...in cluster computing such as Giganet cLAN, InfiniBand, Myrinet, Gigabit ...
8
Choice of Cluster Computing System Hadoop and Apache Spark for Network Systems
... the cluster computing model has become widespread, it runs parallel computing of data on interconnected computers that automatically provide task scheduling, fault tolerance and load ...balancing. ...
8
STUDY ON CLUSTER COMPUTING
... Parallel computing has seen many changes since the days of the highly expensive and proprietary super ...mainframe computing for many ...decade, cluster technologies have been developed that allow ...
8
Hybrid cloud and cluster computing paradigms for life science applications
... State of the art MDS and clustering algorithms scale like O(N 2 ) for N sequences; the total runtime for MDS and clustering is about 2 hours each on a 768 core commodity cluster obtaining a speedup of about 500 ...
22
Hybrid Cloud and Cluster Computing Paradigms for Life Science Applications
... Clouds and MapReduce have shown themselves to be a broadly useful approach to scientific computing especially for parallel data intensive applications. However they have limited applicability to some areas such as ...
15
Hybrid Cloud and Cluster Computing Paradigms for Scalable Data Intensive Applications
... Need is pervasive – Large and high dimensional data are everywhere: biology, physics, Internet, … – Visualization can help data analysis Visualization of large datasets with high perform[r] ...
62
A Comparison between Cluster, Grid, and Cloud Computing
... Living in a world crowded of knowledge and information, connected through the Internet, and open for access to all knowledge seekers, with a great emphasis on the pace of information exchange and the innovations and new ...
6
CLUSTER, GRID AND CLOUD COMPUTING: A REVIEW AND COMPARISION
... in computing over the ...name cluster computing came that works on homogeneous network and connect two or more than two computer in such a way that they work in a combination as one computing ...
8
Use of Mapreduce for Data Mining and Data Optimization on a Web Portal
... distributed, cluster systems with huge ...of computing nodes reducing the execution time by 30% as compared to normal data mining and ...of computing nodes. Scaleup gracefully grows as data and ...
5
Cluster Computing
... a cluster system inherent parallelism. On that system,cluster computing programming methods can roughly be classifed in two categories: The first category of models allows a serial (non-parallel) ...
6
Survey Of Technologies, Tools, Concepts And Issues In Big Data
... traditional cluster computing systems and Big Data technologies and ...high-performance computing as well as Hadoop and its tools included in cloud computing environment ...Hadoop ...
11
Title: A Comparative Study of Various Computing Environments-Cluster, Grid and Cloud
... the computing models cluster, grid and cloud computing has been ...cloud computing is based on grid computing. The cluster computing was invented to provide efficiency and ...
6
ACCOMPLISHING HIGH PERFORMANCE DISTRIBUTED SYSTEM BY THE IMPLEMENTATION OF CLOUD, CLUSTER AND GRID COMPUTING
... to cluster computing, like employment of multithreaded DSM runtime systems; reduction in network overheads and communication patterns; development of realist communication models; distributed and parallel ...
8
A comparative study of grid & cloud computing
... Cloud computing is the development of parallel Computing, Distributed Computing and Grid ...Cloud Computing is not a very new concept because it is connected to Grid Computing Paradigm, ...
5
Cluster Computing in Zero Knowledge
... In this paper we present two main results, both contributing to the feasibility of cluster computing in zero knowledge. 1. MapReduce in zero knowledge. Under knowledge-of-exponent assumptions [Dam92, HT98, ...
42
International Journal of Computer Science and Mobile Computing
... Abstract— Along with the increased awareness of energy and cost related to it, power management becomes a big issue for high performance computing. Power control is becoming a key challenge for effectively ...
6
Build and Evaluate a Free Virtual Cluster on Amazon Elastic Compute Cloud for Scientific Computing
... virtual cluster on Amazon EC2, we run the HPCC benchmarks on virtual cluster with different ...virtual cluster are better than the published HPCC result, which means the virtual cluster is ...
12