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A scheduling method based on equipment load balancing rules is proposed to solve the problem of unbalanced load of each observing device in traditional space target monitoring resource scheduling. In this paper, the visibility of space targets is taken as the mathematical basis, STK software package is used to forecast the visibility of tracking arcs of space targets, the equipment load balancing scheduling rules are integrated into the traditional scheduling process, and the observation requirements are respectively 3 laps, 4 laps and 5 laps as the input for experimental simulation. The generated scheduling scheme is presented in the form of Gantt chart. Finally, the constructed evaluation index is used to evaluate the value. The experimental results show that the scheduling rules based on equipment load balancing can well achieve the balance of the working time of each observation equipment, and can realize the tracking and monitoring of more space targets. [ABSTRACT FROM AUTHOR]

In view of the problems that current load balancing algorithm affects system efficiency under low load and poor distribution efficiency under high load, based on Nginx server, a dynamic and static load balancing algorithm based on improved genetic algorithm is proposed in this study. The algorithm chooses to use server performance parameters based on CPU performance, memory performance, disk I/O and network bandwidth as server node performance evaluation indexes and static weighted polling algorithm weights under low load, and designs a dynamic load balancing algorithm under high load based on the change of node performance utilization rate as a percentage of the cluster average load utilization rate by introducing operation conversion thresholds and dynamic. By introducing the improved genetic algorithm of operation transition threshold and dynamic triangular function operation probability as the threshold calculation method, the transformation of static algorithm dominant area into dynamic algorithm dominant area is calculated. This study designs comparison experiments to verify that the proposed algorithm has better load balancing effect when compared with weighted polling algorithm, probabilistic meritocracy algorithm and dnfs_conn algorithm in the experimental environment, and has about 15% improvement in the values of average response time and actual concurrent connections when compared with dnfs_conn algorithm. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Jilin University (Science Edition) / Jilin Daxue Xuebao (Lixue Ban) is the property of Zhongguo Xue shu qi Kan (Guang Pan Ban) Dian zi Za zhi She and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the increase in the number of vehicles and intelligent applications in the IoV, computing intensive tasks have proliferated, and the traditional architecture is difficult to meet user needs. To solve the problems of insufficient and uneven allocation of computing resources in the IoV, insatiable application delay requirements, and high task energy consumption costs, this paper combined MEC and SDN to design an efficient task offloading scheme in the network of vehicles architecture from macro station to MEC server to vehicle, and proposed an improved low-complexity non-dominated sorting genetic algorithm to optimize the task offloading cost and the load balancing rate of MEC server. The experimental simulation results show that the proposed scheme compared with random offloading, NO-MEC offloading, NO-I offloading, traditional NSGA,NSGA-Ⅱ off loading, GA offloading, Q-learning offloading, DQN offloading, has lower offloading cost, better load balancing rate, and approximately the highest system utility, which brings better network services to vehicle users in the IoV. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Harbin Institute of Technology. Social Sciences Edition / Haerbin Gongye Daxue Xuebao. Shehui Kexue Ban is the property of Harbin Institute of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Harbin University of Science & Technology is the property of Journal of Harbin University of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Henan University of Science & Technology, Natural Science is the property of Editorial Office of Journal of Henan University of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Traditional load balancing algorithms can't meet the demand of high concurrent requests and quick calling of public network digital trunk. This paper proposed a dynamic load balancing algorithm based on load feedback for distributed digital trunk to achieve load balancing and increase user capacity. Firstly, this paper established monitoring method and monitoring indexes for static and dynamic load of participating MCPTT server. Then, it used weighted round robin algorithm to allocate participating MCPTT server to users and got complex load parameters by dealing user requests. Finally, it updated the weight of participating MCPTT server based on load feedback to dynamically adjust server load. Simulation results show that the proposed algorithm has better load balancing effect, smaller load balancing degree and lower response delay compared with traditional algorithms and other dynamic feedback algorithms. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Chongqing University of Posts & Telecommunications (Natural Science Edition) is the property of Chongqing University of Posts & Telecommunications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

For traditional load identification methods the ill-posedness problem brings about relatively large errors, and due to the insufficiency of monitoring sensors, the structural vibration responses at the damage points can't be exhaustively monitored. Therefore, an augmented Kalman filter (AKF) algorithm-based dynamic load identification and response reconstruction method was proposed. Based on the structural state space formulation, the load vector and the state vector were combined into the augmented-rank state vector (ASV), and the Kalman filter algorithm was employed to obtain the minimum-variance unbiased (MVU) estimation of the augmented state vector to realize the simultaneous identification of the state and the load vectors. Furthermore, the dynamic response reconstruction of the structure parts without sensors was realized through combination of the optimal state estimation and the observation matrix. Three finite element cases were studied to verify the feasibility and effectiveness of the proposed method. The results show that, this method can well identify the load and reconstruct the response regardless of moving or fixed loads with high accuracy, and is insensitive to measurement noise. The types, the number and the locations of the sensors have some impact on the accuracy of load identification and response reconstruction. [ABSTRACT FROM AUTHOR]

Aiming at the periodic load imbalance caused by user equipment mobility and cell coverage,this paper introduced a cellular network to support high data rate services and intensive deployment,and proposed an adaptive load balancing algorithm for cellular networks considering load estimation.Firstly,the algorithm switched parameters according to the adjustment of overload units and adjacent units.The utilization of resources depended on the signal quality and the traffic demand of the connected user equipment in the long-term evolution(LTE).This paper defined the utilization rate of resource blocks as a measure of unit load,and determined the overload list by using adaptive threshold according to the network load situation.In order to avoid performance oscillation,considering the impact of mobile load on the network,it designed the load balancing process.Finally,it evaluated the performance of the algorithm in different environments by system-level simulation.The simulation results show that the algorithm provides a more balanced load between networks(so that the standard deviation between cells is smaller),and has higher network throughput than previous algorithms. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Chongqing University of Posts & Telecommunications (Natural Science Edition) is the property of Chongqing University of Posts & Telecommunications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Jilin University (Science Edition) / Jilin Daxue Xuebao (Lixue Ban) is the property of Zhongguo Xue shu qi Kan (Guang Pan Ban) Dian zi Za zhi She and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Computer Measurement & Control is the property of Magazine Agency of Computer Measurement & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

A wireless sensor network (WSN) consists of several sensor nodes, all of which are resource limited, and the energy consumption on every node has significant influence on the network. Clustering schemes can effectively contnl overall energy consumption. Based on the characteristics of the node status, the dynamic change of the event location at the actual running phase of the network, we propose a dynamic uneven clustering scheme with load balancing. The main idea is that the network completes uneven clustering using the 0-LEACH algorithm with self organization, and then a certain number of decision nodes from the cluster heads are selected dynamically for data aggregation. The role of decision nodes changes dynamically with the transformation of the event location and node state. Simulation results show that the scheme balances the energy consumption, improves transmission efficiently and prolongs the network life in comparison with the CAPNet scheme. [ABSTRACT FROM AUTHOR]

In this paper, to improve the resource utilization and load balancing, we have the CPU resources reasonably separated into baseband CPU resources and protocol CPU resources, and propose a load characteristics based carrier migration scheduling strategy under the framework of C-RAN. According to the trigger type of Host in physical layer and the load characteristics of virtual multimode base stations, we employ double threshold up and down trigger method to trigger migration. Then according to the 9 kinds of load conditions and using the minimum resource cost strategy, the virtual multimode base stations need to be migrated and the target Host are selected. Simulation results show that the strategy can make the variance of baseband resource utilization falling about 0.04, and make the variance of protocol resource utilization falling about 0.03. The strategy also realize self-management of base station migration. Moreover, the destination of resource saving is achieved. The state of base station will not change too much before and after the migration, and it has a good consistency. [ABSTRACT FROM AUTHOR]

Aiming at the problem of energy limitation in wireless sensor networks (WSN), this paper presented an energy saving and load balancing clustering routing (EDUC) algorithm. EDUC generated candidate cluster-heads by using energy-based and distance-based probability model. At the same time, EDUC utilized timer to make the candidate cluster-heads with high residual energy in local area become cluster-heads. In addition, EDUC calculated clusters' radius on the basis of energy and distance. Moreover, ordinary nodes calculated candidate nodes' weight on the basis of energy and distance, and then they joined the cluster-head with the biggest weight. Furthermore, at the phase of constructing multi-hop routing, cluster-heads considered tentative nodes' residual energy, costs of inter-cluster and intra-cluster communication to select an optimal relay node. Simulation results on OMNet ++ show that EDUC can efficiently balance energy consumption, reduce the speed of nodes dying and prolong the network lifetime compared with other algorithms. [ABSTRACT FROM AUTHOR]

Lad-balancing is an important topic in the research on cloud computing. As the load-balancing in cloud computing is inefficient, with poor accuracy and dynamic changes in resource demand, this paper put forward a load-balancing model in the environment of cloud computing. It improved the optimal selection of target nodes and the accuracy of task load transferred by introducing the chaotic algorithm in the send policy and firefly algorithm in the recipient policy. The simulation experiment shows that the improved resource load algorithm can effectively avoid the imbalance in load processing and improve the overall processing capacity of the system. [ABSTRACT FROM AUTHOR]

Aiming at the frequent and fixed data querying characteristics generally existed in special kinds of applications, this paper proposed a data pre-fetching and caching algorithm based on templates, which was used to improve the query efficiency and lighten the loading pressure of servers. It built the data query templates which would be invoked to get the pre-fetching data when a trigger was activated, and put forward a data pre-fetching method based on templates and a pre-fetching algorithm based on triggers. In consideration of the existence of some big data in cache space had optimization effect on query speed, it designed a cache object model and put forward an improved Hybrid algorithm. It tested and analyzed the algorithm performance based on Dongfang-hong wetland environment monitoring platform. The experiment results show that the access latency rate of the proposed algorithm is all lower than classical algorithms under different cache percent, and the algorithm shows an excellent application performance as the increase of query data amount. [ABSTRACT FROM AUTHOR]

With the deployment of load-balancing, there is no longer a single route to a destination. The result measured by Traceroute can be inaccurate and incomplete because of load-balancing routers exist. Therefor, a new methodology was be proposed to identify load-balancing routers and characterize load-balancing paths called multipath detection algorithm (MDA). Unfortunately, the cost was almost 10 times the Traceroute probe. This paper pointed out an improved MDA traceroute to find the entire load-balancing paths between source and destination, and reduced probing overheads after setting lookup table and selecting the number of packet to probe. Compared to traditional MDA traceroute, the results show that the improved MDA traceroute can obtain over 90% IP nodes while reducing nearly 50% probing packets. [ABSTRACT FROM AUTHOR]

To resolve the problems of network congestion leading to high end-to-end delay and low throughput in MANET (mobile Ad hoc network), this paper proposed an algorithm of load-balancing based on probability. In this algorithm, nodes mapped the load state of network historical load information and judge route access by probability to balance the load in the networks. Mapping the load state of network by historical load information was an effective solution to the problem of difficult to judge load state in distributed operation. Probabilistic algorithms could effectively overcome the problem of fuzzy recognition in the rule of threshold, while a significant reduction the flooding of broadcast and saving channel resources. Combined with classical reactive routing protocol, it developed a new routing protocol called H&P_DSR. The computer simulation confirms the theoretical analysis and shows the load balancing algorithm could balance network load accurately and efficiently, H&P_DSR protocol improves network throughput and reduces the end-to-end delay effectively without extra route overhead. [ABSTRACT FROM AUTHOR]

The use of virtualization technology makes software applications more effective which deployed over cloud computing platforms, but also brings challenges to the resource management and service scheduling over cloud. This paper focused on novel mechanisms which provide optimal deployment and scheduling of cloud services in SaaS scenarios on the foundation of studying some differences between IaaS and SaaS scheduling, and proposed a stochastic model to describe the scheduling process as a multi-objective optimization problem. Besides some QoS (quality of service) issues, the most significant property of cloud services-elasticity has been considered in this model, and not only the scheduling of SaaS tasks but also the arrangement of elastic service replicas are provided by our mechanisms. Experiment results show that the deployment and scheduling mechanisms optimize the overall performance, load balance condition as well as the resource usage of the cloud computing platform. [ABSTRACT FROM AUTHOR]

In system of military information grid, disposition state after service compositing has feedback influence on performance of network node and QoS of service cluster. Due to this problem, this paper proposed a new model LBCMMS. By resetting QoS parameters, assessment of service got more fitter for military demands. It introduced DWM, and defined two kinds of negative exponent weakening factors in it, which would impel disposition state of services has effect of load balancing. Based on BGA and GA, designed the services compositing process, which solved the NP-complete problem of decision-making with multi-condition in this model. Through simulation experiments, effectiveness of the model is verified. [ABSTRACT FROM AUTHOR]

By introducing a new model integrated Cloud computing with P2P computing named Cloud-P2P into the mechanism, a large-scale virus report analysis mechanism based on the Cloud-P2P architecture is proposed. The massive computing power of terminals can be further utilized by the mechanism. The mechanism divides the large-scale jobs of virus analysis reports effectively, and deploys tasks to servers and terminals to implement with mobile agents, which effectively reduce the server loads and improve the overall system efficiency. The Cloud-P2P model, the mobile-agent-based deployment mechanism, the execution point selection mechanism and the prototype system are elaborated in detail. The system performance was analyzed from the following aspects: the load balancing, security and reliability. The conclusions show that the mechanism has a good theoretical and practical reference value. [ABSTRACT FROM AUTHOR]

In order to take advantage of the parallel capabilities of multi-processer platform to improve the performance of consistency in constraint programming, the paper proposed a new parallel consistency model based on centralized storage. It used dynamic constraints distribution for addressing the issue of load-balancing and detected collision quickly due to centralized management of variable domain. Since pruning variable domain was monotonic, it realized asynchronous consistency to improve parallelism. Finally, the experiments represented the advantages and the scope of application of the model. [ABSTRACT FROM AUTHOR]

A parallel DSMC method is presented for accuratly predicting the effects of lateral jet interaction with rarefied atmosphere of transition flow. A hybrid grid structure with Cartesian coordinate meshes and surface unstructured triangular cells is developed with collision cells adaptation and used in the DSMC computation. A static random load balancing technique is applied in the parallel DSMC code using the MPI parallel environment. For the computation of lateral jet interaction of three-dimensional plat plate model with different pressure ratios, the results of surface separation distance show good agreement with low density wind tunnel experiment to validate the DSMC algorithm. The supersonic and hypersonic RCS jet interaction with hypersonic rarefied incoming flow on a slender blunt double-cone in rarefied transition flow regime are investigated. The impacts of flight altitude, free stream velocity, angle of attack and jet thrust on plumeatmosphere interaction flow fields and aerodynamic properties are numerically analyzed. The influences of parameter distributions with uniform/non-uniform of nozzle exit on the seperation distance and votex structure near the jet are simulated in detail. [ABSTRACT FROM AUTHOR]