Conveners
Grid, Cloud & High Performance Computing in Science
- Florin Bogdan MANOLACHE (Carnegie Mellon University)
Description
Grid, Cloud & High Performance Computing in Science
Operating computers located in remote data centers
poses a set of drawbacks, including workflow inefficiencies and
slow response time in case of malfunction. This paper presents a
set of solutions tested and currently in the prototyping stage
at Carnegie Mellon University, for handling remote control
of datacenter computing assets. Integration with the existing
campus automation and...
The proposed system offers users the ability to efficiently search for information about various tourist destinations, accommodation options, and other relevant details. Users can explore a wide range of destinations, filter results according to their preferences, and access information about tourist attractions or destinations. Through the crawling process, the solution ensures broader search...
Traditional relational or SQL database servers and document/JSON database servers are part of state-of-the-art data architectures. Comparing the database query (OLAP) performance of relational and document data stores is challenging because of myriads of options in data modeling, query features, data distribution, processing distribution, etc. Based on the TPC-H benchmark tools, this paper...
Abstract—Among the NoSQL technologies, Neo4j is one of the most popular solutions for managing graph databases and an early adopter on transactions (contrary to other NoSQL Systems). Neo4j also provides a high-level data processing language – Cypher. Despite its popularity, there are no comprehensive studies on comparing the query performance of Neo4j relative to SQL or other NoSQL...
