Abstract: A method and system for deduplication caching using an unreliable edge resource include acquiring a total storage capacity of all edge servers, searching for candidate cache files by a similarity-based hierarchical clustering (SHC) method, and acquiring file clusters of all the candidate cache files after clustering, where the candidate cache files each include a deduplicated data chunk, and based on the file clusters and an reliability of all of the edge servers, selecting, by a heuristic algorithm, a file cluster from the file clusters to cache to the edge server until a size of cached content reaches the total storage capacity. The present disclosure makes a trade-off between file availability and space efficiency, thereby effectively improving the cache hit rate in the limited edge caching space.

Abstract: A method and an apparatus for data filtering are provided in this disclosure. The method is applied to a filtering system, including m buckets, each bucket including b storage slots, and each storage slot including a first domain and a second domain. The first domain is configured for recording fingerprint information of an element fingerprint of a data element, and the second domain is configured for matching and recording identifiers corresponding to the fingerprint information stored in the first domain. The method includes: determining an element fingerprint of a data element to be processed in response to an obtained target instruction; and performing a target operation on the data element based on at least the element fingerprint and stored information of the first domain and the second domain in each storage slot. The target operation at least includes one or more of inserting, querying and deleting operations.

Abstract: Provided is a knowledge graph fusion method based on iterative completion, which includes: obtaining multiple knowledge graphs, and identifying each of entities of the multiple knowledge graphs; performing structure vector representation learning on each of entities to obtain a structure vector of each of entities, and performing entity name vector representation learning on each of entities to obtain an entity name vector of each of entities; determining a structural similarity between the entities according to the structure vector of each of entities, and determining an entity name similarity between the entities according to the entity name vector of each of entities; constructing a degree-aware-based co-attention network, and calculating an entity similarity between fused entities through the degree-aware-based co-attention network; and obtaining a high-confidence entity pair according to the entity similarity between the fused entities, and performing knowledge graph completion by iterative training to o

Abstract: A system for streaming data items of a streaming application via a Vertical Cuckoo Filter (VCF), including: one or more computers communicating with a provider via a network; wherein the one or more computers includes: a processor; and a storage device coupled to the processor, wherein the storage device is configured to store the VCF, an insert module, a lookup module, and a delete module, the VCF includes buckets with one or more slots and includes at least two bitmasks, the insert module is configured to perform an insert operation of a first fingerprint of a first item from the provider on the VCF, the lookup module is configured to perform a lookup operation of a second fingerprint of a second item from the provider on the VCF, the delete module is configured to perform a delete operation of a third fingerprint of a third item from the VCF.

Abstract: A Mobile-Assisted edge computing framework including: one or more requests to be processed; an operator configured to assign the one or more requests to a static edge node; and a cloud configured to cache and pre-fetch services for the one or more requests; wherein the one or more requests include handled requests and unhandled requests, the static edge node is configured to process the handled requests, and one or more mobile edge nodes are configured to process the unhandled requests; and wherein the static edge node is configured to auction the unhandled requests to the one or more mobile edge nodes, the auction including: generating a candidate set of the one or more mobile edge nodes; assigning an unhandled request to a target mobile edge node of the candidate set; and processing the unhandled request via the target mobile edge node.

Abstract: A recycling process for the demetalization of hydrocarbon oil comprises recycling the following steps: a demetalizing composition for hydrocarbon oil or an aqueous solution thereof is sufficiently mixed with hydrocarbon oil in a desired proportion, and the resultant mixture is subjected to a conventional electrically desalting process to obtain a demetalized hydrocarbon oil and an aqueous desalted solution containing the desalted metal salts; the aqueous desalted solution containing the metal salts is then sufficiently mixed with a precipitating agent in a desired proportion and is subjected to a displacement reaction, and an aqueous solution containing the demetalizing composition is recovered by separating out the residue of the metal salts produced in the displacement reaction, which is poorly soluble or insoluble in water, with a solid-liquid separator; and the recovered aqueous solution containing the demetalizing composition for hydrocarbon oil, which meets the requirements for metal ions in demetalized

Abstract: A recycling process for the demetalization of hydrocarbon oil comprises recycling the following steps: a demetalizing composition for hydrocarbon oil or an aqueous solution thereof is sufficiently mixed with hydrocarbon oil in a desired proportion, and the resultant mixture is subjected to a conventional electrically desalting process to obtain a demetalized hydrocarbon oil and an aqueous desalted solution containing the desalted metal salts; the aqueous desalted solution containing the metal salts is then sufficiently mixed with a precipitating agent in a desired proportion and is subjected to a displacement reaction, and an aqueous solution containing the demetalizing composition is recovered by separating out the residue of the metal salts produced in the displacement reaction, which is poorly soluble or insoluble in water, with a solid-liquid separator; and the recovered aqueous solution containing the demetalizing composition for hydrocarbon oil, which meets the requirements for metal ions in demetalized

Abstract: A recycling process for the demetalization of hydrocarbon oil comprises recycling the following steps: a demetalizing composition for hydrocarbon oil or an aqueous solution thereof is sufficiently mixed with hydrocarbon oil in a desired proportion, and the resultant mixture is subjected to a conventional electrically desalting process to obtain a demetalized hydrocarbon oil and an aqueous desalted solution containing the desalted metal salts; the aqueous desalted solution containing the metal salts is then sufficiently mixed with a precipitating agent in a desired proportion and is subjected to a displacement reaction, and an aqueous solution containing the demetalizing composition is recovered by separating out the residue of the metal salts produced in the displacement reaction, which is poorly soluble or insoluble in water, with a solid-liquid separator; and the recovered aqueous solution containing the demetalizing composition for hydrocarbon oil, which meets the requirements for metal ions in demetalized