The VLDB Journal (2012) 21:587–588 DOI 10.1007/s00778-012-0291-9 GUEST EDITORIAL Wolfgang Lehner · Michael J. Franklin Published online: 6 September 2012 © Springer-Verlag 2012 Big Data is no longer exclusively the domain of big orga- with two main contributions. First, the authors introduce the nizations. Companies, collaborations, and organizations of technique of cyclic piggybacking to implement shared scans all types and sizes are increasingly faced with the need to and reduce to overall access cost. Then, given the ability analyze and make sense of large and growing collections of to share scans, the paper addresses the optimization of job data. Solving the challenge of large-scale analytics requires scheduling to exploit the shared scans in an optimal fashion. innovation across the spectrum of data management: Large The paper then presents the circumflex scheduler, a gener- volumes of data have to be acquired, processed, stored, and alized version of the flex scheduler allowing a wide variety eventually reclaimed. Complex statistical procedures must of different cost metrics to be used. Insights into the imple- be applied to those large data sets. Transactional guarantees mentation of these techniques and results of simulation and are required to provide a consistent picture with operational real benchmark
The VLDB Journal – Springer Journals
Published: Oct 1, 2012
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera