Data Management in the Cloud

Erscheinungsjahr 2012
ISBN: 978-3-031-00767-5
Verlag: Springer International Publishing

Buch, Englisch, 120 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 277 g

Reihe: Synthesis Lectures on Data Management

Cloud computing has emerged as a successful paradigm of service-oriented computing and has revolutionized the way computing infrastructure is used. This success has seen a proliferation in the number of applications that are being deployed in various cloud platforms. There has also been an increase in the scale of the data generated as well as consumed by such applications. Scalable database management systems form a critical part of the cloud infrastructure. The attempt to address the challenges posed by the management of big data has led to a plethora of systems. This book aims to clarify some of the important concepts in the design space of scalable data management in cloud computing infrastructures. Some of the questions that this book aims to answer are: the appropriate systems for a specific set of application requirements, the research challenges in data management for the cloud, and what is novel in the cloud for database researchers? We also aim to address one basic question:whether cloud computing poses new challenges in scalable data management or it is just a reincarnation of old problems? We provide a comprehensive background study of state-of-the-art systems for scalable data management and analysis. We also identify important aspects in the design of different systems and the applicability and scope of these systems. A thorough understanding of current solutions and a precise characterization of the design space are essential for clearing the "cloudy skies of data management" and ensuring the success of DBMSs in the cloud, thus emulating the success enjoyed by relational databases in traditional enterprise settings. Table of Contents: Introduction / Distributed Data Management / Cloud Data Management: Early Trends / Transactions on Co-located Data / Transactions on Distributed Data / Multi-tenant Database Systems / Concluding Remarks

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Agrawal, Divyakant

Abbadi, Amr El

Das, Sudipto

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen

Inhaltsverzeichnis

Introduction.- Distributed Data Management.- Cloud Data Management: Early Trends.- Transactions on Co-located Data.- Transactions on Distributed Data.- Multi-tenant Database Systems.- Concluding Remarks.

Über Autor(innen)

Divyakant Agrawal is a Professor of Computer Science in the Department of Computer Science at the University of Califor nia at Santa Barbara. His research expertise is in the areas of database systems, distributed computing, data warehousing, and large-scale information systems. He is a Fellow of the ACM and the IEEE. He has published more than 300 articles in the fields of database systems, distributed systems, multi-dimensional indexing, data warehousing, and cloud data management. He has served on numerous program committees of international conferences, symposia, and workshops and served as an editor of the Journal of Distributed and Parallel Databases from 1993–2008 and the VLDB Journal from 2003–2008. He was the program chair of ACM SIG MOD 2010 and has served as the general chair for multiple ACM SIGSPATIAL conferences. He is currently serving as the editor-in-chief of the Journal of Distributed and Parallel Databases and on the editorial boards of ACM TODS and IEEE TKDE. He isalso serving as a Trustee on the VLDB endowment. He has been on the faculty of UC Santa Barbara for more than 25 years and has graduated more than 30 Ph.D. students. He is also the recipient of the UCSB Outstanding Graduate Mentor Award. Sudipto Dasis currently a Researcher in the eXtreme Computing Group (XCG) at Microsoft Research (MSR).Dr.Das received his Ph.D. in Computer Science from University of California Santa Barbara (UCSB). His research interests lie in the broad area of scalable data management systems and distributed systems. His research spans multiple areas such as scalable transaction process ing systems for cloud computing platforms, advanced data anal ysis systems for big data, and multi-tenant database systems. His works have been published in various prestigious and highly se lective venues showcasing database research, such as SIGMOD, VLDB, ICDE, CIDR, MDM, and SoCC. He has also deliv ered several tutorials in the area of big data and cloud computing. Dr. Das is therecipient of UCSB’s 2012 Lancaster Dissertation award, the CIDR 2011 Best Paper Award, MDM 2011 Best Runner-up Paper Award, the 2012 Outstanding Dissertation Award, and the 2011 Outstanding Student Award in Computer Science at UC Santa Barbara, and the TCS-JU Best Student Award for 2006. Amr El Abbadi is currently a Professor in the Computer Sci ence Department at the University of California, Santa Barbara (UCSB). He received his B. Eng. in Computer Science from Alexandria University, Egypt, and received his M.S. and Ph.D. in Computer Science from Cornell University. He chaired the Computer Science Department at UCSB from 2007–2011. Prof. El Abbadi is a Fellow of the ACM and AAAS. He has served as a journal editor for several database journals, including, cur rently,The VLDB Journal. He has been Program Chair for multiple database and distributed systems conferences, including VLDB 2000, SIGSPATIAL GIS 2010, and ACM Symposium on Cloud Computing (SoCC) 2011. He has also served as a board member of the VLDB Endowment from 2002–2008. In 2007, Prof. El Abbadi received the UCSB Senate Outstanding Mentorship Award for his excellence in mentoring graduate students. He has published over 275 articles in databases and distributed systems