Abstract
The current computing environment is largely distributed—computers are connected to Internet to form a worldwide distributed system. Organizations have geographically distributed and interconnected data centers, each with hundreds or thousands of computers connected with high-speed networks, forming mixture of distributed and parallel systems (Fig. 1.1). Within this environment, the amount of data that is captured has increased dramatically. Not all of this data is stored in database systems (in fact a small portion is) but there is a desire to provide some sort of data management capability on these widely distributed data. This is the scope of distributed and parallel database systems, which have moved from a small part of the worldwide computing environment a few decades ago to mainstream. In this chapter, we provide an overview of this technology, before we examine the details in subsequent chapters.
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09 September 2020
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References
Abadi, D. J., Carney, D., Çetintemel, U., Cherniack, M., Convey, C., Lee, S., Stonebraker, M., Tatbul, N., and Zdonik, S. (2003). Aurora: a new model and architecture for data stream management. VLDB J., 12 (2): 120–139.
Abadi, D. J., Ahmad, Y., Balazinska, M., Çetintemel, U., Cherniack, M., Hwang, J.-H., Lindner, W., Maskey, A., Rasin, A., Ryvkina, E., Tatbul, N., Xing, Y., and Zdonik, S. B. (2005). The design of the Borealis stream processing engine. In Proc. 2nd Biennial Conf. on Innovative Data Systems Research, pages 277–289.
Abadi, D. J., Marcus, A., Madden, S. R., and Hollenbach, K. (2007). Scalable semantic web data management using vertical partitioning. In Proc. 33rd Int. Conf. on Very Large Data Bases, pages 411–422.
Abadi, D. J., Marcus, A., Madden, S., and Hollenbach, K. (2009). SW-Store: a vertically partitioned DBMS for semantic web data management. VLDB J., 18 (2): 385–406.
Aberer, K. (2001). P-grid: A self-organizing access structure for P2P information systems. In Proc. Int. Conf. on Cooperative Inf. Syst., pages 179–194.
Aberer, K. (2003). Guest editor’s introduction. ACM SIGMOD Rec., 32 (3): 21–22.
Aberer, K., Cudré-Mauroux, P., Datta, A., Despotovic, Z., Hauswirth, M., Punceva, M., and Schmidt, R. (2003a). P-grid: a self-organizing structured P2P system. ACM SIGMOD Rec., 32 (3): 29–33.
Aberer, K., Cudré-Mauroux, P., and Hauswirth, M. (2003b). Start making sense: The chatty web approach for global semantic agreements. J. Web Semantics, 1 (1): 89–114.
Abiteboul, S., Quass, D., McHugh, J., Widom, J., and Wiener, J. (1997). The Lorel query language for semistructured data. Int. J. Digit. Libr., 1 (1): 68–88.
Abiteboul, S., Buneman, P., and Suciu, D. (1999). Data on the Web: From Relations to Semistructured Data and XML. Morgan Kaufmann.
Abiteboul, S., Manolescu, I., Rigaux, P., Rousset, M.-C., and Senellart, P. (2011). Web Data Management. Cambridge University Press.
Abou-Rjeili, A. and Karypis, G. (2006). Multilevel algorithms for partitioning power-law graphs. In Proc. 20th IEEE Int. Parallel & Distributed Processing Symp., pages 124–124.
Abouzeid, A., Bajda-Pawlikowski, K., Abadi, D., Silberschatz, A., and Rasin, A. (2009). HadoopDB: an architectural hybrid of MapReduce and DBMS technologies for analytical workloads. Proc. VLDB Endowment, 2 (1): 922–933.
Adali, S., Candan, K. S., Papakonstantinou, Y., and Subrahmanian, V. S. (1996a). Query caching and optimization in distributed mediator systems. In Proc. ACM SIGMOD Int. Conf. on Management of Data, pages 137–148.
Adali, S., Candan, K. S., Papakonstantinou, Y., and Subrahmanian, V. S. (1996b). Query caching and optimization in distributed mediator systems. In Proc. ACM SIGMOD Int. Conf. on Management of Data, pages 137–148.
Adamic, L. and Huberman, B. (2000). The nature of markets in the world wide web. Quart. J. Electron. Comm., 1: 5–12.
Adiba, M. (1981). Derived relations: A unified mechanism for views, snapshots and distributed data. In Proc. 7th Int. Conf. on Very Data Bases, pages 293–305.
Adiba, M. and Lindsay, B. (1980). Database snapshots. In Proc. 6th Int. Conf. on Very Data Bases, pages 86–91.
Adler, M. and Mitzenmacher, M. (2001). Towards compressing web graphs. In Proc. Data Compression Conf., pages 203–212.
Aggarwal, C. C., editor. (2007). Data Streams: Models and Algorithms. Springer.
Agichtein, E., Lawrence, S., and Gravano, L. (2004). Learning to find answers to questions on the web. ACM Trans. Internet Tech., 4 (3): 129—162.
Agrawal, D. and Sengupta, S. (1993). Modular synchronization in distributed, multiversion databases: Version control and concurrency control. IEEE Trans. Knowl. and Data Eng., 5 (1): 126 –137.
Agrawal, D., Das, S., and El Abbadi, A. (2012). Data Management in the Cloud: Challenges and Opportunities. Synthesis Lectures on Data Management. Morgan & Claypool Publishers.
Agrawal, S., Narasayya, V., and Yang, B. (2004). Integrating vertical and horizontal partitioning into automated physical database design. In Proc. ACM SIGMOD Int. Conf. on Management of Data.
Akal, F., Böhm, K., and Schek, H.-J. (2002). Olap query evaluation in a database cluster: A performance study on intra-query parallelism. In Proc. 6th East European Conf. Advances in Databases and Information Systems, pages 218–231.
Akal, F., Türker, C., Schek, H.-J., Breitbart, Y., Grabs, T., and Veen, L. (2005). Fine-grained replication and scheduling with freshness and correctness guarantees. In Proc. 31st Int. Conf. on Very Large Data Bases, pages 565–576.
Akbarinia, R. and Martins, V. (2007). Data management in the APPA system. J. Grid Comp., 5 (3): 303–317.
Akbarinia, R., Martins, V., Pacitti, E., and Valduriez, P. (2006). Design and implementation of Atlas P2P architecture. In Baldoni, R., Cortese, G., and Davide, F., editors, Global Data Management, pages 98–123. IOS Press.
Akbarinia, R., Pacitti, E., and Valduriez, P. (2007a). Processing top-k queries in distributed hash tables. In Proc. 13th Int. Euro-Par Conf., pages 489–502.
Akbarinia, R., Pacitti, E., and Valduriez, P. (2007b). Query processing in P2P systems. Technical Report 6112, INRIA, Rennes, France.
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Ă–zsu, M.T., Valduriez, P. (2020). Introduction. In: Principles of Distributed Database Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-26253-2_1
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DOI: https://doi.org/10.1007/978-3-030-26253-2_1
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