Our ability to perceive the correlation of different substances in the world is one of the key aspects of human *** passing of this faculty to artificial intelligence(AI)represents arguably one of the long-standing ch...
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Our ability to perceive the correlation of different substances in the world is one of the key aspects of human *** passing of this faculty to artificial intelligence(AI)represents arguably one of the long-standing challenges in the application of AI to scientific *** meet this challenge in the burgeoning field of AI for chemistry,we may adopt the paradigm of knowledge ***,focusing on catalytic chemical reactions,we have developed a semantic knowledge graph framework based on both structured and unstructured data,the latter of which are extracted from the text of 220,000articles on catalysts for organic *** framework captures the latent knowledge of reactant-catalyst-product relationships and can therefore provide accurate recommendation on potential catalysts for targeted reaction,which especially facilitates the research involving large *** study presents a viable pathway towards the implementation of literature-based data management in a catalyst recommendation platform.
The current research on the blockchain includes study on network architecture and the *** this paper,an introduction to the architecture of informationtechnology was given and the goal and research status of the ince...
The current research on the blockchain includes study on network architecture and the *** this paper,an introduction to the architecture of informationtechnology was given and the goal and research status of the incentive layer of blockchain were illustrated with digital economy development as the *** existing issuance of token was elaborated from computation,storage and transmission,three core facets of network *** development of the token allocation and the path was analyzed to confirm its *** discusses the possible directions and challenges of the future research on blockchain incentive.
Intelligent Eco networking (IEN) is intent on evolving the IP-based network architecture into a Knowledge-Driven Future Internet Infrastructure based on hierarchical heterogeneous networks composed of virtualized and ...
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ISBN:
(数字)9781728157818
ISBN:
(纸本)9781728157825
Intelligent Eco networking (IEN) is intent on evolving the IP-based network architecture into a Knowledge-Driven Future Internet Infrastructure based on hierarchical heterogeneous networks composed of virtualized and configurable devices, taking the valuable contents as first-class entity, d riven by knowledge intelligence, integrating the decentralized consensus trust preservation, to establish a value-oriented social ecosystem. To counter with the complicated but inefficient mechanisms of IP, a tokenized fine-grained allocation mechanism i s proposed, taking comprehensive consideration of storage, computing and networking, bringing about a collaborative and mutually beneficial value-interconnection. Knowledge-Driven Scheme (KDS), as the guideline of IEN's establishment, illustrates the way to extract knowledge from the network, the value consensus of blockchain, and the feedback control of Federated Learning, making economy-based distributed commerce feasible.
In data center networks, flows with different objectives coexist and compete for limited resources. From the application-level perspective, it is hard to satisfy the demands of different flows without effective resour...
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ISBN:
(数字)9781728109626
ISBN:
(纸本)9781728109633
In data center networks, flows with different objectives coexist and compete for limited resources. From the application-level perspective, it is hard to satisfy the demands of different flows without effective resource planning. To address the bandwidth allocation problem under multi-objective scenarios, we study a multi-objective network utility maximization (NUM) problem and propose our practical bandwidth allocation framework HOMMO, which consists of an upper layer algorithm (ULA) and a lower layer algorithm (LLA). This hierarchical design helps to strike a balance between accuracy and efficiency. Implemented in network switches, ULA is an online learning-based scheme that allocates bandwidth for aggregated flows with different performances objectives. Taking the outputs from ULA as capacity constraints, LLA acts as a fast scheduling method at packet-level. We extend NUMFabric by implementing the design of isolate queues and corresponding dequeue strategy in switches and make it a feasible solution of the LLA. Therefore, HOMMO achieves satisfactory isolation across flows with different objectives, which is equivalent to provide a network slicing solution. To evaluate the proposed framework, we implement it in ns-3 and verify the performance under various scenarios. The simulation results show that HOMMO not only quickly converges to a near-optimal solution of the multi-objective NUM problem but also guarantees a Pareto-optimal solution. Moreover, it outperforms the well-known transport protocol (i.e., DCTCP) with 2x increase on average bandwidth utilization and 1.96x improvement in global network utility at the aggregated flow level.
As a new distributed computing paradigm, blockchain is rapidly evolving in areas such as digital finance and cryptocurrency. However, existing blockchain projects adopt different blockchain architectures and protocols...
As a new distributed computing paradigm, blockchain is rapidly evolving in areas such as digital finance and cryptocurrency. However, existing blockchain projects adopt different blockchain architectures and protocols, as a result it is difficult for different blockchain systems to flow value to each other or communicate information, and different blockchain systems become isolated islands. This has brought limitations to the usable range, function and scalability of blockchaintechnology. In order to solve this problem, and bulid trust between different blockchain networks, cross-chain technology has been proposed and received a lot of attention. In this paper we proposed a cross-chain mechanism based on verifiable random functions ( VRF ) and threshold cryptography, we name this scheme as Vger. In Vger, through VRF based cryptographic sortition to select management committee for escrow account and dynamic security setting mechanism, that optimize the security and efficiency about cross-chain transaction.
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