By Udo Bartlang
ISBN-10: 3834810231
ISBN-13: 9783834810236
Every now and then whilst the IT manager’s ally is structures consolidation (which is a euphemism for centralisation), it can come a little bit as a shock for you that this booklet investigates decentralisation within the context of content material administration platforms. it may possibly look really noticeable that content material will and will be controlled by way of the celebration who creates and owns the content material, and for that reason can be held in a―somewhat―centralised and controlled position. even though, over the last few years, we have now been witnesses of a few very important tendencies and advancements which demand novel methods of pondering content material administration and perhaps even broader, approximately computers in most cases. First, ongoing company globalization creates common distribution of knowledge at a corp- ate point, in addition to decentralization of regulate over enterprise assets and enterprise 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 thoughts of virtualization, lately culminating within the cloud computing buzzword. Virtualization of content material administration prone calls for - tremely scalable and ?exible underlying details and conversation architectures. most of these recommendations are theoretically and virtually very unlikely to enforce in line with c- tralised client-server architectures. 3rd, we're at present experiencing a dramatic shift within the roles of shoppers within the net. the days have long past whilst caliber content material used to be in basic terms introduced by way of publishers and information organizations. Wikis and different net 2. zero instruments empower shoppers to supply and submit their own content material.
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Extra info for Architecture and Methods for Flexible Content Management in Peer-to-Peer Systems
Example text
A distributed algorithm that respects safety is referred to as partial correct. If further liveness is guaranteed it is denoted as total correct. 1 Node Model To summarise, a distributed system is usually composed of several autonomous nodes that are connected by a communication network, and each node has its own memory and may independently breakdown. The terms node, computer, host, processor, or process are synonymously used in the context of this thesis to represent single active instances interacting with other instances through message passing.
For example, performance shall be measured (i) by the latency to execute a certain operation, or (ii) by the throughput of a certain operation considering a certain interval. 3 Research Challenges Regarding the Peer–to–Peer Model The methods to implement a P2P-based content repository shall reflect the research challenges of the previous two sections with those raised in this section. This section shall move these methods in the context of P2P peculiarities. 1. Peer Heterogeneity The general idea of the P2P paradigm considers all peers to offer symmetric functionality.
For example, methods shall enable distribution of the amount of content data to the participating peers. For example, considering content management, scalability shall be measured by the distribution degree of content data items to involved peers. f. Performance Although high-performance shall not be the primary goal, achieving good performance shall be important. Execution of methods to implement content repository functions shall be efficient regarding operation latency and operation overhead. For example, if the number of involved peers and the frequency of content data modifications continuously grow, the costs of maintaining consistency may become high: in the context of distributed systems, transmission delays and number of exchanged messages are usually crucial.