SIGMOD '88 Proceedings of the 1988 ACM SIGMOD international conference on Management of data
A worldwide flock of Condors: load sharing among workstation clusters
Future Generation Computer Systems - Special issue: resource management in distributed systems
Dynamic Data Reallocation for Skew Management inShared-Nothing Parallel Databases
Distributed and Parallel Databases
Issues and approaches of database integration
Communications of the ACM
A Case for NOW (Networks of Workstations)
IEEE Micro
The Vision of Autonomic Computing
Computer
Data partitioning and load balancing in parallel disk systems
The VLDB Journal — The International Journal on Very Large Data Bases
Scaling heterogeneous databases and the design of Disco
ICDCS '96 Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS '96)
Mapping data in peer-to-peer systems: semantics and algorithmic issues
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
The Piazza Peer Data Management System
IEEE Transactions on Knowledge and Data Engineering
Simultaneous scalability and security for data-intensive web applications
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Data integration: the teenage years
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
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The Internet has become increasingly important to many emerging application such as Blog, Wikis, podcasts, and others Web-based communities and social-networking services, i.e. Web 2.0. Behind the scenes, added functionalities depend on the ability of users to work with the data stored on servers, i.e. DBMSs. However, the unpredictability and fluctuations of requests could result in overload, which can substantially degrade the quality of service. It is a challenging task to provide quality of service with inexpensive and scalable infrastructure. In this paper, we look at a new architectural design dimension, POEMS, that is online transformable between a single-node server and peer-based service network architectures. POEMS operates as a conventional DBMS under normal load conditions and transforms to peer-to-peer operation mode for processing under heavy load. In contrast to traditional distributed DBMSs, all nodes contribute their spare capacities for data manipulation. This is achieved without the need to install any DBMS at any of the contributing nodes. Data are partitioned online and operators are distributed to nodes similarly. The effectiveness of query processing is achieved by node cooperation. POEMS allows processes or operators to be dismissed online, so a user can fully utilise his/her resources.