Abstract: A cloud network, a measurement system for the cloud network, and a method, a device and a storage medium. For a cloud network, by means of automatically perceiving a measurement intent of a tenant in the cloud network, generating a measurement rule that complies with the measurement intent, and delivering, on the basis of the measurement rule and by means of bypass packet injection, a measurement request message into network element devices on a path to be measured, a network quality analysis is performed with the help of measurement record information generated when the measurement request message passes through different network element devices.

Abstract: The modified asphalt provided by the disclosure is prepared from the following raw materials in parts by weight: 100 to 120 parts of asphalt, 6 to 20 parts of a modifier, 3 to 9 parts of a compatibilizer, 0.15 to 0.25 parts of sulfur, 0.4 to 0.6 parts of a non-amine anti-stripping agent and 0.2 to 0.4 parts of a coupling agent; and the modifier comprises a styrene-butadiene-styrene block copolymer, a rubber, and a polyurethane. The modified asphalt provided by the disclosure can simultaneously satisfy an elastic recovery at 25° C. of ?98%, a dynamic viscosity at 60° C. of ?500,000 Pa·s, a composite shear modulus at 60° C. of ?10 Pa, and a critical temperature at G*/Sin?2.2 kPa of ?94° C.

Abstract: The modified asphalt provided by the disclosure is prepared from the following raw materials in parts by weight: 100 to 120 parts of asphalt, 6 to 20 parts of a modifier, 3 to 9 parts of a compatibilizer, 0.15 to 0.25 parts of sulfur, 0.4 to 0.6 parts of a non-amine anti-stripping agent and 0.2 to 0.4 parts of a coupling agent; and the modifier comprises a styrene-butadiene-styrene block copolymer, a rubber, and a polyurethane. The modified asphalt provided by the disclosure can simultaneously satisfy an elastic recovery at 25° C. of ?98%, a dynamic viscosity at 60° C. of ?500,000 Pa·s, a composite shear modulus at 60° C. of ?10 Pa, and a critical temperature at W/Sin?2.2 kPa of ?94° C.

Abstract: Embodiments provide a data processing method. The method can include obtaining a key value. The method can include performing K hash operations on the key value separately by using K different hash function. In this way, K hash values can be obtained. The method can include calculating K addresses based on the K hash values. Each of the K addresses can have a one-to-one association with one of K words in a target data block such that a given address of the addresses indicates a bit in a word associated with the given address. The method can include setting or a reading a parameter corresponding to a bit indicated by each of the K addresses, where the bit is in a word associated with each of the K addresses, based on the read parameter, whether the key value belongs to the Bloom filter.