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13 plots the redundant data update overhead versus data node size from 6 to 400 As expected, the simple algorithm (sending all data blocks to the redundant node) performs the worst On the other hand, regenerating redundant data using a centralized archive server incurs the least overhead These two curves serve respectively as the upper bound and lower bound for redundant data update overhead Surprisingly, direct reuse of the original redundant data does not result in signi cant savings This is because the algorithm maintains the same data order within the parity group in computing the redundant data, and thus signi cantly reduces the opportunity for redundant data reuse Once this restriction is relaxed by reshuf ing the parity group, the redundant data update overhead is reduced by half to around 20,000 blocks Reuse of cached data blocks further reduces the overhead by half to around 10,000 blocks.

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With all three techniques applied, the SRDU algorithm can reduce the redundant data update overhead by as much as 70% In the previous experiment, we completely update all redundant data blocks before adding another new node Clearly this is inef cient if new nodes are added frequently or added to the system in a batch To address this issue, we conduct a second experiment where multiple nodes, say W , are added to the system before the redundant data are updated Figure 1514 plots the redundant data update overhead versus the batch size W for initial system size of 80 nodes The results show that we can reduce the per-node redundant data update overhead signi cantly by batching redundant data update for multiple new nodes14 Per-node redundant data update overhead versus batch size (80 ode system) In Visual Basic NET Using Barcode generator for NET Related: Creating QR Code .

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Therefore, online customers have to trust an e-vendor rom which they purchase; otherwise, the social complexity will cause them to avoid purchasing [7] 1323 Calculus-Based Trust Antecedents In economic transactions, parties develop trust in a calculative manner [10] To make a calculus-based trust choice, one party rationally calculates the costs and bene ts of other party s cheating or cooperating in the transaction Trust develops if the probability of that party performing an action that is bene cial or at least not detrimental to the rst party is high [10] Consumers can obtain pieces of information regarding an e-vendor s trustworthiness through a variety of channels Calculus-based trust develops because of credible information regarding the intentions or competence of the trustee The credible information, such as reputation and certi cation, can signal that the trustee s claims of trustworthiness are true.

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Theoretical evidence has shown that calculus-based trust can be a powerful form of trust to facilitate electronic transactions [11] 1324 Knowledge-Based Trust Antecedents Previous research proposes that trust develops as a result of the aggregation of trust related knowledge by the involved parties [12] This knowledge is accumulated either rst-hand (based on an interaction history) or second-hand One of the knowledgebased antecedents for trust tested by previous researches is familiarity, an understanding of what, why, where, and when others do what they do [7] Familiarity emerges as a result of one s learning gained from previous interactions and experiences It reduces environmental uncertainty by imposing a structure For example, consumers who are familiar with the site map and the ordering process of a website are more likely to trust the website.

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In general, familiarity with the situation and various parties involved is found to build trust in business relationships [8] Past research has found that familiarity with an e-vendor positively in uences trust in that e-vendor [13] 1325 Institution-Based Trust Antecedent Institution-based trust means that one believes the necessary impersonal structures are in place to enable one to act in anticipation of a successful future endeavor [8] Such trust re ects the security one feels about a situation because of guarantees, safety nets, or other structures The concept of institution-based trust comes from sociology, which deals with the structures (eg, legal protections) that make an environment feel trustworthy [5] Two types of institution-based trust have been discussed in the literature: situational normality and structural assurance [8] Situational normality is least not detrimental to the rst party is high Barcode Generator In Java Using Barcode encoder for Java .

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