By Wujuan Lin, Bharadwaj Veeravalli
N etwork-based computing area unifies all most sensible study efforts provided from unmarried computers to networked structures to render overwhelming computational energy for numerous modern-day purposes. even if this energy is predicted to develop with admire to time because of tech nological developments, program standards impose a continuing thrust on community usage and at the assets to convey very best caliber of provider. Strictly talking, network-based computing dornain has no restricted scope and every point bargains huge demanding situations. Any modern-day networked software strongly prospers on effective information garage and administration procedure, that's basically a Database procedure. there were nurnber of books-to-date during this area that debate primary rules of designing a database systern. study during this dornain is now a ways matured and rnany researchers are venturing during this dornain continually because of a large choice of demanding situations posed. during this publication, our dornain of curiosity is in exposing the underlying key demanding situations in designing algorithms to address unpredictable requests that arrive at a dispensed Database System(DDBS) and comparing their functionality. those requests are in a different way referred to as as online requests arriving at a procedure to procedure. Transactions in an online Banking carrier, Airline Reservation systern, Video-on-Demand systern, and so forth, are few examples of online requests.
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Extra resources for Object Management in Distributed Database Systems for Stationary and Mobile Computing Environments: A Competitive Approach
This issue, under a centralized control, manifests as follows. Since several requests may arrive at a site simultaneously, a serializable controller will serialize the requests in the way they are to be processed. This in turn implies that read and write requests are ordered for processing and that a request is always serviced with the most recent copy of the object in the system. This is allowed provided requests can be processed in any order. However, for some systems wherein FIFO is an enforced service discipline, serializability refers to the arrival time arder of requests at a site.
When the cache space at a local site is sufficient for caching a new object, we place the object in the cache. Otherwise, we consider the possibility of replacing other cached object(s) with the new object. 4. , [MPKD99). The design of consistency algorithms is somewhat a crucial requirement when compared to other systems we have discussed before. 5. Cachability of an object- This is to decide on what web objects can be cached to improve the performance of the web system. Among the above issues, the design of an object replacement and consistency algorithms is challenging and forms an imperative part in deciding the overall performance.
OMP in the case of web caching problern, in general, must also indude workload characterization as exemplified in several studies 16 and cache management. OMP in the case of cache management for web system indudes the following issues to be addressed. 1. , proxies). There are two kinds of architectures proposed in the literature [RSB99] - mesh (or distributed architecture [PH97]) and hierarchical architecture [CDNSW96}. A performance comparison between these two architectures has been provided and some design guidelines for a largescale distributed cache environment have been proposed [TDVK98].
Object Management in Distributed Database Systems for Stationary and Mobile Computing Environments: A Competitive Approach by Wujuan Lin, Bharadwaj Veeravalli