[show abstract][hide abstract] ABSTRACT: Database management technology has played a vital role in facilitating key advancements of the information technology field.
Database researchers—and computer scientists in general—consider prestigious conferences as their favorite and effective tools
for presenting their original research study and for getting good publicity. With the main aim of retaining the high quality
and the prestige of these conference, program committee members plays the major role of evaluating the submitted articles
and deciding which submissions are to be included in the conference programs. In this article, we study the program committees
of four top-tier and prestigious database conferences (SIGMOD, VLDB, ICDE, EDBT) over a period of 10years (2001–2010). We
report about the growth in the number of program committee members in comparison to the size of the research community in
the last decade. We also analyze the rate of change in the membership of the committees of the different editions of these
conferences. Finally, we report about the major contributing scholars in the committees of these conferences as a mean of
acknowledging their impact in the community.
KeywordsDatabase technology–Program committees
[show abstract][hide abstract] ABSTRACT: We analyze the database research publications of four major core database
technology conferences (SIGMOD, VLDB, ICDE, EDBT), two main theoretical
database conferences (PODS, ICDT) and three database journals (TODS, VLDB
Journal, TKDE) over a period of 10 years (2001 - 2010). Our analysis considers
only regular papers as we do not include short papers, demo papers, posters,
tutorials or panels into our statistics. We rank the research scholars
according to their number of publication in each conference/journal separately
and in combined. We also report about the growth in the number of research
publications and the size of the research community in the last decade.
[show abstract][hide abstract] ABSTRACT: In the last two decades, the continuous increase of computational power has produced an overwhelming flow of data. Moreover, the recent advances in Web technology has made it easy for any user to provide and consume content of any form. This has called for a paradigm shift in the computing architecture and large scale data processing mechanisms. Cloud computing is associated with a new paradigm for the provision of computing infrastructure. This paradigm shifts the location of this infrastructure to the network to reduce the costs associated with the management of hardware and software resources. This paper gives a comprehensive survey of numerous approaches and mechanisms of deploying data-intensive applications in the cloud which are gaining a lot of momentum in both research and industrial communities. We analyze the various design decisions of each approach and its suitability to support certain classes of applications and end-users. A discussion of some open issues and future challenges pertaining to scalability, consistency, economical processing of large scale data on the cloud is provided. We highlight the characteristics of the best candidate classes of applications that can be deployed in the cloud.