[PDF] Top 20 Collaborative Framework for High Performance P2P based Data Transfer in Scientific Computing

... WAN  PTCP reaches maximum data transfer speed at 150200 streams  Utilizing parallel streaming in GridTorrent yields higher data transfer rate  GridTorrent provides better performance [r] ... See full document

... Tasks overview periodic WS-Tracker GTFC GTFC Update Status 8 response GTFC WS- Tracker User ACL Response 7 request, periodic WS-Tracker GTFC GTFC ACL Request 6 response, periodic WS-Trac[r] ... See full document

...  Utilizing other high-performance low-level TCP or UDP based data transfer protocols in data layer.  Improving existing P2P technique[r] ... See full document

... into data intensive ...for data transfer. TCP is unsuitable for moving large volume of data sets across the networks particularly for wide area networks (WANs) because of the default TCP ... See full document

... GridTorrent Framework is to provide an application level data transferring and sharing framework for data intensive applications over high performance networks such as ... See full document

...  Similar to (GridFTP) redefining of Bittorrent protocol to adjust it using in scientific data transfer.  There are many studies show that Bittorrent can be used for scientific applicat[r] ... See full document

... textual data, multimedia documents or documents with linked structures such as web ...involve computing new relevance ranking values for the information retrieved from either multiple sources or using ... See full document

... (KF) based track fit [4] is used for precise estimation of the track ...is based on the KFParticle package is used in order to find and reconstruct the parameters of short-lived particles by combining already ... See full document

... Portlet-based portal technology provides an approach for organizations or communities to integrate a large variety of resources, services, applications, and tools for private, public, and commercial entities. ... See full document

... the data is kept close to the HPC installation, and by enabling a large centralized data storage this critical issue of modern high per- formance computing can be ...for data ... See full document

... The computer industry is at the cusp of an im- portant breakthrough in high-performance com- puting (HPC) services. Commercial vendors such as IBM, Google, Sun, and Amazon have discov- ered the monetizing ... See full document

... ubiquitous computing paradigm is the proper management of the data generated in this ...of high distribution, het- erogeneity, mobility, and autonomy of the ubiquitous computing envi- ronment ... See full document

... require high performance, large scale infrastructure to ...local scientific computing clusters or commodity public cloud infrastructure, the algorithmic solutions in these applications are not ... See full document

... Component Based Software Engineering through a plug-and-play component framework called Common Component Architecture ...the performance evaluation of these CCA compliant components to show the ... See full document

... CCA framework is responsible for component management including dynamic loading, component instantiation, connection and disconnection of the matching ...Ccaffiene framework [13] that supports both Single ... See full document

... HPC-based data analysis in scientific research and proposes a systematic manner of addressing ...powerful data analysis solutions present across ...explored based on scientific ... See full document

... a collaborative session with an agent, the agent keeps track of the collaborative ...a data analysis session. If a scientist joins a collaborative session, after it has been started, or after ... See full document

... in high performance computing, such that it may be considered as the de facto standard for distributed memory ...are high performance implementations of MPI available for every major ... See full document

... the data is accessed, the data structures specify how the loop is run, and aggregate data structures are designed to break into large parts that can be effectively scheduled for parallel ... See full document

... distributed computing approach like BOINC with decentralized, yet secure and customizable, P2P data sharing prac- ...integrate P2P networking directly into the system, employing a job manager ... See full document