Cloud computing resources and energy are gradually showing a trend of geographical distribution, and an innovative computing task placement strategy needs to be designed for a more cost-effective and low-carbon enviro...
详细信息
To improve the task scheduling efficiency in computing power networks, this paper proposes a global task scheduling method based on network measurement and prediction in computing power networks (GTS-MP), which select...
详细信息
In modern society, power communication networks play a crucial role, and their stable operation is essential for the safety and efficiency of power grids. In this paper, a distributed simulation system for power commu...
With the rapid growth of information technology (IT), the amount of data generated by various industries in modern society is exploding. However, while enjoying the convenience brought by data, how to ensure the priva...
详细信息
ISBN:
(纸本)9798350378924;9798350378917
With the rapid growth of information technology (IT), the amount of data generated by various industries in modern society is exploding. However, while enjoying the convenience brought by data, how to ensure the privacy and security of data while maximizing its value has become a major challenge facing us. In this context, multi-party secure computing (SMPC) technology has emerged, providing strong technical support for data privacy protection. SMPC is a privacy computing technology based on cryptography, which can perform joint computation on multi-party data without leaking the original data, thereby ensuring the security and privacy of data. In order to further improve the efficiency and practicality of SMPC, this paper proposes an optimization algorithm and combines it with cloud computing. By adopting a distributedcomputing architecture, we can decompose and allocate computing tasks to multiple computing nodes, significantly improving computing efficiency. The experimental results show that our proposed SMPC optimization algorithm, when combined with cloud computing, not only significantly improves computational efficiency, but also demonstrates excellent performance in data privacy protection.
Users may access virtual, scalable, and dynamic resources using cloud computing, which is a novel technology that charges them only for the resources they use. This technology is reliant on a network to function. Seve...
详细信息
ISBN:
(纸本)9781665411202
Users may access virtual, scalable, and dynamic resources using cloud computing, which is a novel technology that charges them only for the resources they use. This technology is reliant on a network to function. Several services, like as e-commerce apps, use the whole network as a result of the sheer scope of the network. Cloud computing has progressed through three phases in terms of practical development: distributedcomputing, parallelcomputing, and gridcomputing. Cloud computing is a cutting-edge technology that installs networks of computers, many of which are situated in faraway locations, to conduct operations on massive amounts of data in real time, main challenge in cloud workflow Scheduling in edge context. In proposed approach we used hybrid approach using Tabu and Grey Wolf Optimization. In experiment improved results of approx. 5-10% average in all performance metrics are obtained.
Electric vehicles (EVs) are a major solution for sustainability challenges such as global warming, fossil fuel depletion, emission of greenhouse gas that require immediate attention. Electric vehicles will be required...
详细信息
作者:
Zhang, LupingZhang, ZhimengEast China Univ Technol
Jiangxi Engn Technol Res Ctr Nucl Geosci Data Sci Sch Informat Engn Jiangxi Engn Lab Radioact Geosci & Big Data Techn Nanchang 330013 Jiangxi Peoples R China
Membrane computing provides efficient computing devices for broad applications due to its distributed storage and the parallel processing. As computing devices in membrane computing, numerical P systems with threshold...
详细信息
ISBN:
(纸本)9789819722716;9789819722723
Membrane computing provides efficient computing devices for broad applications due to its distributed storage and the parallel processing. As computing devices in membrane computing, numerical P systems with thresholds (NPT systems) are proven to be Turing universal, and their computational and operational semantics need to be further investigated. In this work, the intrinsic relationship between NPT systems and Petri nets is concerned. The ingredients of Petri nets are associated with the elements of numerical variables in NPT systems, and the operations of Petri nets are associated with the evolutions of NPT systems. The results on the boundedness and reachability of NPT systems are obtained by using the relationship between NPT systems and Petri nets.
Due to the influence of distributed power supply access in islanded microgrid, the error of direct power flow calculation is large. Therefore, a power flow calculation method for islanded microgrid based on graph para...
详细信息
In the exascale computing era, optimizing MPI collective performance in high-performance computing (HPC) applications is critical. Current algorithms face performance degradation due to system call overhead, page faul...
详细信息
ISBN:
(纸本)9798400701559
In the exascale computing era, optimizing MPI collective performance in high-performance computing (HPC) applications is critical. Current algorithms face performance degradation due to system call overhead, page faults, or data-copy latency, affecting HPC applications' efficiency and scalability. To address these issues, we propose PiP-MColl, a Process-in-Process-based Multi-object Interprocess MPI Collective design that maximizes small message MPI collective performance at scale. PiP-MColl features efficient multiple sender and receiver collective algorithms and leverages Process-in-Process shared memory techniques to eliminate unnecessary system call, page fault overhead, and extra data copy, improving intra- and inter-node message rate and throughput. Our design also boosts performance for larger messages, resulting in comprehensive improvement for various message sizes. Experimental results show that PiP-MColl outperforms popular MPI libraries, including OpenMPI, MVAPICH2, and Intel MPI, by up to 4.6X for MPI collectives like MPI_Scatter and MPI_Allgather.
The Internet of Things (IoT) has significantly expanded the scope of the Internet by enabling seamless communication between devices and the cloud. However, the rapid proliferation of IoT devices has led to a surge in...
详细信息
暂无评论