Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Praveenkumar Kondikoppa"'
Publikováno v:
Journal of Network and Computer Applications. 70:183-193
In packet switched high-speed networks, heterogeneous nature of TCP flows, a relatively newer characteristics of IP networks, and high burstiness have made it difficult to achieve low queuing delay and fair allocation of bandwidth among flows. Existi
Publikováno v:
Computer Communications. 69:60-68
We identified a problem that the current TCP variants suffer from synchronization caused by tiny buffers at high speed networks.We proposed and implement a new TCP that explores parallelism among multiple channels and TCP desynchronization for high s
Publikováno v:
ICNC
Low latency, high throughput, and fairness are the stringent performance requirements of data center networks. For web applications continue to thrive, data center must remain effective by addressing these challenges. While most of the challenges hav
Publikováno v:
ICPADS
Genome indexing is the basis for many bioinformatics applications. Read mapping(sequence alignment) is one such application where the goal is to align millions of short reads against reference genome. Several tools are available for read mapping whic
Publikováno v:
ICCCN
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Autor:
Joohyun Kim, Nayong Kim, Richard Platania, Jaegil Kim, Tom Keyes, Praveenkumar Kondikoppa, Seung-Jong Park, Shuju Bai
Publikováno v:
IWSG
A novel implementation of Replica Exchange Statistical Temperature Molecular Dynamics (RESTMD), belonging to a generalized ensemble method and also known as parallel tempering, is presented. Our implementation employs the MapReduce (MR)-based iterati
Publikováno v:
High Performance Cloud Auditing and Applications ISBN: 9781461432951
Large scale scientific and engineering applications, and cloud auditing generate huge amounts of data. MapReduce framework coupled with cloud computing is emerging as the viable solution for distributed big data processing. Specifically, if data is g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0122c0a80cd8f0e8e9ad919d3c9535f
https://doi.org/10.1007/978-1-4614-3296-8_12
https://doi.org/10.1007/978-1-4614-3296-8_12
Publikováno v:
ICCCN
High speed networks have characteristics of high bandwidth, long queuing delay, and high burstiness which make it difficult to address issues such as fairness, low queuing delay and high link utilization. Current high speed networks carry heterogeneo
Publikováno v:
Proceedings of the 2012 workshop on Cloud services, federation, and the 8th open cirrus summit.
Google's MapReduce has gained significant popularity as a platform for large scale distributed data processing. Hadoop [1] is an open source implementation of MapReduce [11] framework, originally it was developed to operate over single cluster enviro