By Udo Bartlang
Now and then whilst the IT manager’s ally is platforms consolidation (which is a euphemism for centralisation), it may well come just a little as a shock for you that this booklet investigates decentralisation within the context of content material administration platforms. it could possibly look fairly seen that content material will and will be controlled via the celebration who creates and owns the content material, and for this reason might be held in a―somewhat―centralised and controlled situation. even though, during the last few years, we've got been witnesses of a few very important developments and advancements which demand novel methods of wondering content material administration and perhaps even broader, approximately computers as a rule. First, ongoing enterprise globalization creates typical distribution of knowledge at a corp- ate point, in addition to decentralization of keep an eye on over company assets and company procedures. altering alliances with companions require ?exible architectures for content material administration that canadapttochangingconstellations, roles, andaccessrights. moment, theneedforoutsourcing and source e?ciency has led to recommendations of virtualization, lately culminating within the cloud computing buzzword. Virtualization of content material administration prone calls for - tremely scalable and ?exible underlying info and conversation architectures. these types of strategies are theoretically and essentially most unlikely to enforce in line with c- tralised client-server architectures. 3rd, we're at the moment experiencing a dramatic shift within the roles of shoppers within the net. the days have long gone whilst caliber content material was once in basic terms added by means of publishers and information firms. Wikis and different internet 2. zero instruments empower shoppers to supply and put up their own content material.
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Extra resources for Architecture and Methods for Flexible Content Management in Peer-to-Peer Systems
In the software world, a computer-based process is known as functionality” . “Software functionality expressed in user requirements is a key element for the measurement and planning of the software process” . 2 provides the relevant basics of distributed systems, algorithms, and methods. It deﬁnes used models for nodes, communication, and failures. On the one hand, it presents concrete consensus algorithms; on the other hand, it indicates methods of fault-tolerant state machines, group communication, and dynamic code loading.
2 illustrates the potential scope of a content repository. The basic task of a content repository is the providing of content storage. Usually, a content repository combines basic features of ﬁle systems and database systems . For example, ﬁle systems typically support hierarchical ﬁle storage of binary data and several access control concepts. In contrast, databases enable typically the storage of structured data, provide integrity control, querying functions, and support transactions. In general, a content repository integrates, in addition to basic storage capabilities, value-added services commonly required by content-centric applications like locking, versioning, or observation.
Ii) Thus, in the fail-stop model  a failure detection is enabled by some abstraction; that is, the exact mechanism may vary: for example, each correct working node learns after a certain ﬁnite time that a certain node has failed. (iii) In contrast, within a fail-silent model such perfect failure detection is not possible. (iv) Crash recovery identiﬁes the case of a correct working node being able to fail and recover ﬁnite times; recovery is done using some restart mechanism. A node is only recognised as failed if it fails permanently or if it fails and recovers inﬁnitely often.
Architecture and Methods for Flexible Content Management in Peer-to-Peer Systems by Udo Bartlang