The 5G MEC study for Smart grids has been popular since the increasing renewable energy sources and the services. However, the openness and distribution characteristics of the network make the 5G MEC architecture face...
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The 5G MEC study for Smart grids has been popular since the increasing renewable energy sources and the services. However, the openness and distribution characteristics of the network make the 5G MEC architecture face the great challenges in privacy, security, storage, computing, and so on. Blockchain as an emerging technology has many good features, such as trust-free, transparency, pseudonymity, democracy, automation, decentralization, and security. These features of blockchain could be helpful to improve the security, robustness, and reliability of communication network. In this paper, we investigate some of the work that has been done to integrate blockchain and MEC into communication networks and propose a blockchain enabled 5G MEC computing power scheduling framework. We identify the composition and requirments analysis of the distributedcomputing power scheduling framework and propose a distributed management system based on blockchain within the framework.
In parallel and distributed file systems, caching can improve data performance and metadata operations. Currently, most distributed file systems adopt a write-back data cache for performance and a write-through metada...
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ISBN:
(纸本)9781665454452
In parallel and distributed file systems, caching can improve data performance and metadata operations. Currently, most distributed file systems adopt a write-back data cache for performance and a write-through metadata cache for simplifying consistency. However, with modern file systems scales and workloads, write-through metadata caching can impact overall file system performance, e.g., through lock contention and heavy RPC loads required for namespace synchronization and transaction serialization. This paper proposes a novel metadata write-back caching (MetaWBC) mechanism to improve the performance of metadata operations in distributed environments. To achieve extreme metadata performance, we developed a fast, lightweight, and POSIXcompatible memory file system as a metadata cache. Further, we designed a file caching state machine and included other performance optimizations. We coupled MetaWbc with Lustre and evaluated that MetaWbc can outperform the native parallel file system by up to 8x for metadata-intensive benchmarks, and up to 7x for realistic workloads in throughput.
propose a new distributed collaborative beam-forming (DCB) solution that is robust (i.e., RDCB) against major channel estimation impairments over dual-hop transmissions through a wireless sensor network (WSN) of K nod...
propose a new distributed collaborative beam-forming (DCB) solution that is robust (i.e., RDCB) against major channel estimation impairments over dual-hop transmissions through a wireless sensor network (WSN) of K nodes with a nominally deterministic geometry, presumably rectangular (or a fortiori square). The source S first sends its signal to the WSN. Then, each node forwards its received signal to the destination D after multiplying it by a properly selected beamforming weight. The latter aims to minimize the received noise power while maintaining the desired one equal to unity at the destination D. These weights depend on some channel state information (CSI) parameters. Hence, they have to be estimated locally at each node or fed back to it; resulting in either case in channel parameter estimation or feedback errors that could severely hinder DCB performance. Due to lack of space, we only account here for nodes location placement errors which would always amount to some additional phase error. Accounting for the massive connectivity characterizing new 5G and future 5G+/6G wireless technologies and the Internet of things (IoT), we develop alternative RDCB solutions that properly adapt both to monochromatic [i.e., line-of-sight (LoS)] and bichromatic (i.e., slightly to moderately scattered) propagation scenarios over the first hop while always assuming a LoS link over the second; referred to hereafter as MM-RDCB and BM-RDCB, respectively. We do so by exploiting i) very efficient asymptotic approximations at large numbers K of the WSN nodes and ii) the nominal geometric symmetries of their deterministic (rectangular or square) grid shapes. Furthermore, our new MM-RDCB and BM-RDCB solutions are distributed since their weights can be locally computed at every terminal, thereby dramatically improving both spectral and power efficiencies of the WSN. Simulation results show considerable gains and robustness of the proposed techniques in terms of achieved signal-to-noise
The study of this paper is to utilize distributed PV and energy storage system (ESS) to both extend the capacity and enhance the supply reliability of remote rural residential family distribution system. The proposed ...
The study of this paper is to utilize distributed PV and energy storage system (ESS) to both extend the capacity and enhance the supply reliability of remote rural residential family distribution system. The proposed new distribution system in this paper has the highlights: The MPPTs of multi groups of PV arrays in parallel in the system are simultaneously implemented by only adjusting in real time the DC bus operation voltage, so that the topology and control of the PV generation subsystem are simplified and reduced on cost. The grid power injects under controlling into the DC bus through the accessing circuit composed of a six-phase diode rectifier with power frequency isolation transformer and a boost circuit, which uses very mature circuit and simple control to reach a higher reliability in a low-cost way comparing with the scheme using three-phase fully-controllable power electric switches rectifier. Using three single-phase DC/AC inverters, each one with power frequency isolation transformer, independent voltage amplitude control loop and coordinated voltage phase control loop, builds the three-phase DC/AC inverter, whose AC port is the type of Y0 wiring three-phase four lines, and with the capacity of tolerating power imbalances to a certain degree among phases. In this paper, the topology, functional units, operation modes and their control ways of the proposed distribution system are introduced in detail. Also, the design method and case simulation results of the proposed system are given.
The rapid growth of cloud computing in cloud datacenters in recent decades greatly increases the brown energy consumption in datacenters, and hence significant increase of carbon emission that negatively impacts on th...
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ISBN:
(纸本)9781450390682
The rapid growth of cloud computing in cloud datacenters in recent decades greatly increases the brown energy consumption in datacenters, and hence significant increase of carbon emission that negatively impacts on the environment as well as the monetary cost. More and more cloud service providers are adopting renewable energy as the energy supply to offset the consumption of brown energy. Meanwhile, an increasing number of renewable energy generators have been built to meet the needs. However, the instability of the renewable energy cannot guarantee the support to the datacenter and the energy competition of different datacenters may lead to datacenter energy outage. In this paper, we focus on the problem of how to match different renewable energy generators to the datacenters from different cloud providers to minimize the carbon emission, monetary cost, and service level objective (SLO) violation due to renewable energy shortage. The challenges here are that the datacenters may compete in energy requesting, the renewable energy generation is not stable and the decision should be made quickly. There have been no previous efforts devoting to this problem. To solve the problem, we first test several machine learning techniques on long-term prediction accuracy on renewable energy generation and energy demand using real traces and identify SARIMA for the prediction. We then propose a multi-agent reinforcement learning based method (MARL) for each datacenter to determine how much renewable energy to request from each generator based on the predicted results. We also propose a deadline guaranteed job postponement method (DGJP) to postpone executing unurgent jobs upon insufficient renewable energy supply. The trace-driven experiments show that MARL outperforms other methods by increasing up to 35% SLO satisfaction ratio, and reducing up to 19% (0.33 billion dollars in 90 days) total monetary cost and 33% total carbon emission, and DGJP further improves the performance.
Quick genomic data transfer acts as an essential tool that public health teams need during emergencies like the COVID-19 outbreak. Network coding stands as a technology evaluated for improving large-scale genomic data...
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At present, the research of distributed power grid has made breakthroughs, and the proportion of power production is also increasing. The wide application of distributedgrid will have a great impact on the traditiona...
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With the wide application of distributed generation system and the request of users to power supply quality and reliability of power supply, a new grid structure appeared in the society. Micro grid has solved the prob...
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ISBN:
(纸本)9783030311292;9783030311285
With the wide application of distributed generation system and the request of users to power supply quality and reliability of power supply, a new grid structure appeared in the society. Micro grid has solved the problem of large-scale access of distributed power supply, giving full play to all kinds of advantages of distributed power supply, meanwhile it also has brought a variety of other benefits to the user. Micro network will radically change the traditional way to deal with load growth and has great potential to reduce the energy consumption, improve the power system reliability and flexibility. At the same time, the grid is an important network model of the intelligent power distribution system in the future because its operation control system is the key to ensure the safe, economic and reliable operation of power grid. This paper mainly studies the present research situation of the technique of micro power grid operation control and its shortage, laying the foundation for other researchers.
AvesTerra is a distributed knowledge representation framework for integrating many large and disparate data systems and analytic components at global scale. This framework allows data created or curated by many differ...
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ISBN:
(纸本)9781450384049
AvesTerra is a distributed knowledge representation framework for integrating many large and disparate data systems and analytic components at global scale. This framework allows data created or curated by many different institutions to be linked into a single unified, dynamic knowledge representation structure. The resulting fabric provides participants with a means to engage in multidisciplinary research and collaboration spanning many information systems without requiring a sophisticated computer science understanding of the mechanics of "Big Data" manipulation. Furthermore, AvesTerra enables this integration without the need for centralized data aggregation or local high-performance computational infrastructure, leveraging instead the distributed resources of a diverse and highly distributed analytic *** a core technical level, AvesTerra consists of a system of peer-to-peer servers that collectively form a readily scalable knowledge space. The mathematical structure of this space is that of a generalized, recursive hypergraph, enabling the representation of complex dependency structures often encountered when working towards global scale. The framework incorporates numerous computational constructs including event publication and subscription, parallel threading and timer support, a unique distributed rendezvous mechanism for agent-based organization, privacy isolation, and semantic structure execution. This presentation provides an overview of the full framework and a sampling of the applications currently under development.
This paper proposes the use of SpaceWire and SpaceFibre to jointly build a high-speed and low-speed hybrid satellite-based integrated information transmission network, and an open and distributed high-performance comp...
This paper proposes the use of SpaceWire and SpaceFibre to jointly build a high-speed and low-speed hybrid satellite-based integrated information transmission network, and an open and distributed high-performance computing platform is designed and implemented. The built high performance computing platform is designed based on SpaceVPX architecture, so that SpaceWire and SpaceFbire serve as both the network for information transmission between the entire satellite equipment and equipment, and as a ”virtual backplane” to realize the information transmission between the hardware modules within the high-performance computing platform. Through the mutual cooperation and seamless connection between SpaceWire and SpaceFbire, the granularity of parallelcomputing of the on-board information system is refined from equipment to hardware modules, while with the design ideas of software-defined network and software-defined hardware, the hardware modules in physically different locations of the equipment are further formed into a logically integrated global information processing cluster to achieve the goal of multi-use and parallel reuse of the high performance computing platform with computing tasks assigned on demand and hardware modules enabled on demand. The goal is to lay the foundation for deep integration and linkage between satellite platforms and payload devices to meet the autonomous information processing and intelligence generation of satellites in orbit.
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