Machine Time Rental Orders
The machine-hour rental order in the Utility net- work allows users to rent computing resources on the chain. This process can be described in mathe- matical notation as follows:
Suppose O represent a computation rental order, which includes the following main elements:
u: User
t: Rental time in seconds
r: Computing resource requirements (e.g. number of CPU cores, memory size, etc.)
p: User bid (in UNC)
e: Computing environment (e.g., VM type, operat- ing system, etc.)
s: Service provider
f : Scoring transactions
v: Validation result set
The process of sending an order to the chain can be expressed as follows:
O(u,t,r,p,e,s,f,v) → UtilityNet (24)
which is the detailed expression of request γ at
section 2.4.
Once the order is sent to the chain, the comput- ing resources providers in the network will decide whether to accept the order based on the user’s demand and bids. After accepting the order, the service provider needs to allocate the resources according to the user’s computing environment re- quirements, completing the encrypted file signature and providing the service during the rental period.
After the service is completed, users and ser- vice providers engage in a rating transaction. The rating transaction f includes information on ser- vice quality and user experience, which helps build a fair and transparent rental market. Both parties can ensure the correctness and integrity of the cal- culation results of the rental process by validating the result set v . The validation result set contains information such as calculation outputs, execution logs, etc., so that allow users to evaluate the quality of the leasing service and the deployment of funds to users and service providers.
To summarize, the machine time rental or- der achieves efficient allocation and utilization of computing resources in the Utility network, pro- viding users with flexible and reliable computing services. Through on-chain transactions, scoring mechanisms and verified result sets, the Utility net- work ensures fairness, transparency and security in the decentralized and leasing market.
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