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Sensors 2021, 21, 3822 14 of 32 available energy assets in the token. As the available assets count is reduced by the bid amount for every bid on the token as described in Section 3.4.2, it reflects the true count of the assets available to the token owner for redeeming. Next, the available energy assets on the token is reduced by the redeem value and the updated token is then committed to the world state. Algorithm 11 Redeem a FT 1: 2: 3: 4: 5: 6: 7: 8: 9: 10: 11: 12: 13: functionREDEEMFT(idstring,redeemcountint) token ← ReadToken(id) invokerclient ← GetClientIdentity().GetID() if invokerclient! = token.Owner then ◃ Calling Algorithm 2 return “The client invokerclient is not authorized to redeem token token.ID owned by another” end if if redeemcount > token.AvailableAssets then return “The token token.ID has token.AvailableAssets assets, which is less than requested redeem value redeemcount” end if token.AvailableAssets ← token.AvailableAssets − redeemcount tokenJSON ← json.Marshal(token) PutState(id, tokenJSON) endfunction 3.4.5. Querying for a List of Owned FT For any client there will be six FT at most, one corresponding to each of the types of tokens in the system which are EUnit, EVUnit, GaUnit, InUnit, StUnit and EStUnit. The Algorithm 2 provides the list of FT of the specified token type owned by the invok- ing client. 3.5. Complexity of the Algorithms The complexity of an algorithm describes its efficiency in terms of the size of the input. The two main complexity measures of the efficiency of an algorithm are time and space complexity. Time complexity describes the time taken to execute an algorithm independently of factors that are unrelated to the algorithm. Factors such as programming language, memory cache, type of processing capacity and compiler optimization are not related to the algorithm itself but can affect the actual time taken to execute the algorithm. Similarly, space complexity describes the amount of memory space needed to execute an algorithm independently of the actual hardware used. NFT has operations, NFT Create (Algorithm 3), NFT Bid (Algorithm 4), NFT Trans- fer (Algorithm 5), NFT Redeem (Algorithm 6) and NFT BulkRead (Algorithm 7). Simi- larly, FT has the operations FT Create (Algorithm 8), FT Bid (Algorithm 9), FT Transfer (Algorithm 10) and FT Redeem (Algorithm 11). In Algorithm 8 for FT, if a token exists already, then the token will simply be updated and the key level endorsement policy will not be set again. In order to distinguish between the two types of create operations in FT, we call the operation FT ReCreate if the token is updated and the endorsement policy is not set again. If the token is created and the key level endorsement policy is configured, we call it FT Create. Similarly, for the Algorithm 10, we have two operations FT Transfer, if the token is created and FT ReTransfer if the token is updated with the transferred value. Table 2 shows the time and space complexities of all the algorithms described in Sections 3.3 and 3.4.PDF Image | Blockchain Based Transaction System with NFT
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