Wang Huaimin's research while affiliated with National University of Defense Technology and other places
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Publications (6)
The blockchain is a distributed ledger that records all transactions and operations in a shared manner. Public blockchains such as Bitcoin realize decentralization at the cost of mining overhead, which is not suitable for real‐life scenarios requiring high throughput. Techniques such as the consortium blockchain improve efficiency through partial d...
JCLedger is a BlockChain-based distributed ledger for JointCloud that can improve the reliability and convenience of cloud resource exchanges by empowering cooperation among multiple clouds. The biggest challenge for the implementation of JCLedger is the approach to consensus. The existing consensus algorithms for the public BlockChain, such as pro...
As an interdiscipline of distributed computing and robots, cloud robotics concerns augmenting robot capabilities by connecting them to the powerful backend cloud computing infrastructure. It is a field of great potential, and most recent discussions on this topic are from the point of view of robotics. In this paper, we discuss this field mainly fr...
The resource allocation problem in data centre networks refers to a map of the workloads provided by the cloud users/tenants to the Substrate Network (SN) which are provided by the cloud providers. Existing studies consider the dynamic arrival and departure of the workloads, while the dynamics of the substrate are ignored. In this paper, we first p...
As OSGi technology has been widely used in distributed environment such as pervasive computing and enterprise computing these years, standard centralized OSGi specification needs to be extended to support distributed processing. For the deficiencies of existing works in this domain, this paper proposes a CORBA-based distributed OSGi model, which ai...
Citations
... Jointgraph is based on byzantine fault-tolerance consensus algorithm [186]. It uses events to pack the transactions. ...
... Consensus means agreement which all stakeholders must accept while taking a decision wherever necessary. Traditional consensus protocols include proof of work, proof of stake, and proof of authority [23] etc. Different authors have also presented the typical consensus protocols like proof of trust negotiation [24], proof of honesty [25], proof of useful work [26], proof of credit [27], proof of reputation [28], proof of benefit [29], proof of block and trade [30], proof of disease [31], proof of download [32], proof of federated learning [33], proof of game [34], proof of kernel work [35], proof of learning [36], proof of luck [37], proof of play [38], proof of previous transactions [39], proof of QoS [40], proof of reputation [41], proof of search [42], proof of vote [43], proof of witness presence [44], and proof of xrepute [45] etc. Summary of consensus mechanisms is given in Table I. To enhance the performance of citation analysis, a "proof of reference" based consensus mechanism is proposed which is based on conflate database generated for an author, see Fig. 2 for the detailed step wise description of mechanism. ...
... Authors in [26] state that the edge should provide on-demand services, while the cloud should be invoked only when it is necessary. An illustration of system offloading tasks at the design stage can be found in [27], where a simultaneous localization and mapping for indoor mobile robots employ edge-fog-cloud computing architecture designed to segregate tasks among three layers. ...
... However, the bigger capacity in a block leads to the slower propagation and verification time [38]. Decelerated propagation time in the P2P blockchain network also causes to a double-spending attack that allows malicious parties using the same coin for more than once. ...