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Dynamic load balance scheme based on access selection and calls transfer in heterogeneous wireless networks

Dynamic load balance scheme based on access selection and calls transfer in heterogeneous wireless networks

In recent years, the load balancing issue in heterogeneous network environment attracted wide attention of scholars at home and abroad. Considering the impact of MAC layer packet retransmission on load balancing in link adaptation mechanism, a multi-access option for packet calls was proposed in the literature [2]; Based on the assessment of average packet calls in the access and network resources consumed by the current load situation, a load-balanced access control scheme was proposed in the literature [3]; Based on fuzzy neural network of radial basis function, the access selection method was proposed in the literature [4], which can be connected to the network by blocking rate equal to reinforce learning objectives for fuzzy neural network parameters, and it had a great dynamic adaptability for the network load degree, also to achieve intelligent access decision; Literature [5,6] proposed a heterogeneous network access control scheme based on game theory; Literature [7] proposed a dynamic load balancing mechanism based on terminal mobile and calls heterogeneous, which focused on the calls potential users, through the joint service access control of dynamic optimization, so as to keep the traffic of every access point and communication resources maintain matched to realize the load balancing of networks; literature [8] proposed an improved dynamic threshold joint load control method, in order to adapt to load balancing requirements in different load conditions, to achieve efficient utilization of resources. While combined reconfigurable features of terminals and diversity of calls requirements, and used a terminal selection algorithm based on AHP in the vertical handover procedure to perform a network-initiated, resulting in a balanced heterogeneous network load and reducing the cost of systems and the impact for users; literature [9] considering the survival time of terminal battery and load balancing, a vertical handover scheme was given by putting two goals into a goal to solve on weights; literature [10] proposed a vertical handover scheme based on SINR and AHP; literature [11] conducted a study on the vehicle heterogeneous network environments; In literature [12], Bidding model was established on the relationship between mobile phone users and access networks, and the vertical handover scheme are given based on cooperative game. Literature [2-7] was to achieve load balancing of heterogeneous network environments through joint access control; literature [8-12] was to achieve load balancing through vertical handover mechanism. Unlike the above ideas, in the paper a new dynamic load balance scheme is proposed, to achieve two strategies of access control and calls transfer. THE SYSTEM MODEL OF HETEROGENEOUS WIRELESS NETWORK
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Dynamic Load Balance for Approximate Parallel Simulations with Consistent Hashing

Dynamic Load Balance for Approximate Parallel Simulations with Consistent Hashing

used in order to group simulation objects into LPs while min- imizing load imbalances and maximizing lookaheads. The dynamic scheme consists of dynamically scheduling LPs to threads. LPs with lower simulation time have high priority of being scheduled. There are two centralized pools: active pool and passive pool. Processors grab LPs from the active pool and return LPs to the passive pool. Finally, when all LPs in the active pool are consumed, the two pools are swapped. More similar to our work, but in the context of real systems implementations (no simulation is involved), the authors in [11] propose a dynamic load balance algorithm upon consis- tent hashing in order to cope with sudden increases in query traffic and processors failure in Caching Service processors. The load balance algorithm is based on the Sender Initiated Diffusion (SID) algorithm. Each overloaded partition dis- tributes excess of load to under-used neighbors partitions by using the consistent hashing approach. There is no migration processes involved on the load balance strategy.
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An active power control approach for wake-induced load alleviation in a fully developed wind farm boundary layer

An active power control approach for wake-induced load alleviation in a fully developed wind farm boundary layer

Classical control approaches have demonstrated a good potential for practical APC of waked wind farms to stabi- lize wind power penetrations into the grid; van Wingerden et al. (2017) have proposed a classical feedback loop us- ing the total wake-induced power-tracking error to improve the grid stability independent from the selection of the wind turbine power set-points. However, the pattern of structural loading of the wind turbine components changes for a differ- ent distribution of the set-points and despite smooth tracking of the total power, the fluctuations of power and associated loads of the individual turbines can increase significantly. The nonunique solution of APC for wind farms has been ex- ploited in Vali et al. (2018b) for influencing the wind turbine structural loading, while their total power production follows a demanded power reference from the TSO. That study fo- cused only on the cases where the APC solution domain is large enough for adjusting the wind turbine power set-points, leading to a better dynamic load balance of all wind turbines inside a waked wind farm. However, a high TSO power de- mand mainly limits the APC solution domain to the upwind turbines because of their highest amount of wind power in reserve. In such conditions, the upwind turbines might be loaded even more than the waked turbines to compensate the tremendously accumulated wake-induced wind farm power- tracking errors. Therefore, a load balance within a wind farm may sacrifice the accuracy of the tracking performance or even instability. The yaw-based wake steering method might be employed to mitigate against such strong wake impacts on the wind farm power-tracking performance (Fleming et al., 2016; Boersma et al., 2019).
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A REVIEW ON SLA AWARE LOAD BALANCING ALGORITHM USING JOIN-IDLE QUEUE IN CLOUD COMPUTING

A REVIEW ON SLA AWARE LOAD BALANCING ALGORITHM USING JOIN-IDLE QUEUE IN CLOUD COMPUTING

The emerging technology in the area of Information technology is Cloud Computing. Cloud Computing is the term associated with the virtualization, networking, software and services offered by web. The elements involved in cloud computing are clients, datacenter and distributed server. One of the main problems in cloud computing is load balancing. Balancing the load means to distribute the workload among several nodes evenly so that no single node will be overloaded. Load can be of any type that is it can be CPU load, memory capacity or network load. In this paper we presented an architecture of load balancing and algorithm which will further improve the load balancing problem by minimizing the response time while maintaining SLA. In addition to these for even distribution of load among virtual machine we use JIQ that will further minimize queue length of virtual machine.
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Dynamic Load Testing of Swiss Bridges

Dynamic Load Testing of Swiss Bridges

The trucks used for the dynamic excitation of the bridge are usually 3- axle trucks, as shown in Figure 2, with a total weight of 250 kN (total mass of 25 metric tons), traveling on the bridge at several speeds. The effect of a deterioration of the pavement is simulated by the introduction of a normalized plank on the path of the truck. This induces a strong impact when the trucks passes at mid-span, that represents the effect of a pothole in the pavement, or the irregularity of the surface caused by packed snow. Figure 3 shows the location of the instruments and the results for the dynamic testing of the Riddes-Leytron bridge. Absolute displacement sensors are used for the measurements, and therefore only components with a relatively high frequency (larger than 0.2 Hz) are recorded, as shown in Figure 3a (vertical dispacement at mid-span as a function of the truck position). The static influence line of the truck passing on the bridge is then added to obtain the complete dynamic influence line shown in figure 3b.
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Response of wooden footbridge to the 
		dynamic load

Response of wooden footbridge to the dynamic load

It is clear from Figure 10 that the acceleration amplitude values of forced vibration obtained from the original measurement values are several times higher than the maximum values given in the valid Czech standard (recommended value of vertical amplitude acceleration is 0.7m/s 2 ). By measuring, it was found that all physical activities involved in the load models exhibited acceleration amplitudes from the forced vibration which also moved beyond the allowed value. For this reason, the footbridge is classified as unsatisfactory and it is necessary
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Comparison of divide by 2 circuits for clocks used in mixers

Comparison of divide by 2 circuits for clocks used in mixers

Circuit theory is used to analyse the circuits. To determine the power consumption of a circuit the load capacitance has to be known. The MOSFET capacitance model is used to determine the in- and output capacitances of the circuits. Adding the in- and output capacitances of the circuits will end up in the load capacitance of a stage. Because these implementations behave differently a comparison method has to be developed. First the amplification/clipping stage should be the same such that only the input capacitance of the divider is influencing the load of the amplification/clip- ping stage. Also the 25% duty cycle stage should have the same input capacitance. This will cause the divider to always have the same load capacitance. The load ca- pacitance is determined by splitting up the circuit into multiple smaller circuits. It’s determined that the dynamic divider has a bigger input capacitance than the
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Cloud Computing Paradigms for Pleasingly Parallel Biomedical Applications

Cloud Computing Paradigms for Pleasingly Parallel Biomedical Applications

EC2 : ** **** Azure: *** EC2 : *** *** Azure: ** Scheduling & Dynamic scheduling Data locality, rack Load Balancing through a global queue, aware dynamic task Good natural load schedulin[r]

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Implementing Parameterized Dynamic Load Balancing Algorithm Using CPU and Memory

Implementing Parameterized Dynamic Load Balancing Algorithm Using CPU and Memory

Now a day, in technical life everything is going online. Web applications plays big role on internet to provide 24*7 hr services to customers. When application becomes popular, traffic to that is also in a state of growing. For availability, scalability, performances boosting more and more servers are required for example in online examination. Load balancing is a key issue in these types of large scale situation. Load balancing is to achieve optimal resource utilization, maximize throughput, best services, minimize response time, and avoid overload, disconnectivity. In many scenarios, however, it’s not simply a matter of distributing traffic equally across many servers once deploys; other factors also comes into play. Here we have discussed different load balancing strategies, algorithms and methods. By investigating the comparative behavior of load balancing with different parameters, dynamic load balancing[1] is more reliable. So; here we implemented application load balancer by parameterized load balancing algorithm. Actually we perform load balancing by integrating more than two physical servers with Parameterized dynamic load balancing algorithm. The load balancer calculates the utilization of sub severs and select least utilized server and forward the request to sub server. In this system if you are balancing the load across several servers and one of the servers fails, then the service will still be available to your users, as the traffic will be diverted to the other servers in your server farm.
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An improved solution for resource management based on elastic cloud 
		balancing and job shop scheduling

An improved solution for resource management based on elastic cloud balancing and job shop scheduling

Cloud computing is an expertise that uses the internet and central remote servers to maintain data and applications. Cloud is a mechanism that provides the ability of sharing available cloud resources and access to the distributed environment as well as virtualization technologies, scheduling techniques, load balancing, security, and resource management. The size of a Cloud may be very large, potentially scalable to the Internet size. Resource management is very important and complex problems in Cloud Computing environment [1]. The resource management problem becomes complex when resources are spread geographically, heterogeneous, dynamic and autonomous. Load balancing is the main issue in resource management [2][18]. Elastic Cloud Balancing (ECB) automatically scales its request handling capacity in response to incoming application traffic. When used in Virtual Private Cloud (VPC), can create and manage security groups associated with Elastic Cloud Balancing to provide additional networking and security options. When used in a VPC, you can create a load balancer without public IP addresses to serve as an internal load balancer. ECB supports Secure Socket Layer (SSL) termination at the Load Balancer, including offloading SSL decryption from application instances, centralized management of SSL certificates, and encryption to back- end instances with optional public key authentication. LITERATURE REVIEW
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Static and dynamic balance in young athletes

Static and dynamic balance in young athletes

Dynamic balance conditions have also been investigated by means of seesaw devices, having only 1 degree of free motion and generating instability, laid on the force platform. In this case, it is also possible to investigate the COP excursion in the frequency domain, to assess the preferential involvement of short or long neuronal loops in balance regulation (Maki, 1986; Peterka, 2002). Fast Fourier transforms can be applied to COP displacements from 0 to 20 Hz, and the total spectral energy calculated and distributed in 3 frequency bands: low frequencies (0-0.5 Hz), medium frequencies (0.5- 2.0 Hz), and high frequencies (greater than 2 Hz).It has been shown that low frequencies mostly account for visuovestibular regulation (Dichgans, 1976; Nagy, 2004), medium frequencies for cerebellar regulation (Njiokiktjien, 1978) and high frequencies for proprioceptive regulation (Gurfinkel, 1973). In contrast with force plate systems, the Biodex Stability System (BSS) uses a circular platform that is free to move in the AP and ML axes simultaneously. The stability of the platform can be also varied, by varying the preset resistance force applied by springs on the underside of the platform (Arnold & Schmitz, 1998). Rather than measuring the deviation of the COP during static conditions, this device measures the degree of tilt about each axis during dynamic conditions. Thus, the BBS appears to provide more specific information on ankle joint movements.
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A Survey Of Various Load Balancing Algorithms In Cloud Computing

A Survey Of Various Load Balancing Algorithms In Cloud Computing

5 B ASIC T YPES OF L OAD BALANCING A LGORITHMS There is a extremely large need for load balancing in complex and large distributed systems,. Load balancer takes a decision to transfer the job to the remote server for load balancing. Load balancer can works in two ways: one is cooperative and non-cooperative. In cooperative way, to achieve the optimal response time, all the nodes work to gather. In non- cooperative way, response time is increase by the independently running the tasks. Some of the algorithms for load balancing are studied in this paper.
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Deployment Guide July-2015 rev. A. Deploying Array Networks APV Series Application Delivery Controllers with VMware Horizon View

Deployment Guide July-2015 rev. A. Deploying Array Networks APV Series Application Delivery Controllers with VMware Horizon View

This scenario requires a single Virtual Service, SSL offload, with cookie persistence for the View Client to the same Connection Server (the latter allows load distribution among View Servers to be more even compared with persistent IP). For the second connection, the client directly accesses (or NATs through the APV to) the Connection Server or Virtual Desktop machines for fast access. In this scenario the APV load is reduced since for the second connection, Virtual Desktop display traffic bypasses the APV. However, this uses multiple IPs for each Virtual Desktop machine.

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Hand Calculations of Rubber Bearing Seismic Izolation System for Irregular Buildings in Plane

Hand Calculations of Rubber Bearing Seismic Izolation System for Irregular Buildings in Plane

In this paper will be shown the hand calculation for a seismic isolation system consist of rubber bearing devices. The isolation system supports a six stories mid-rise building with plane asymmetry. The building’s loads are carried by a frame structure which is assumed to remain in elastic domain. Drifts in the structure are much smaller than the drift in isolation system. So, for dynamic analyses, a single lump mass model can be taken. Characteristics for the rubber bearings are taken from manufacture schedule result from standard tests.
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Improved Combination of Strength and Ductility in Zirconium Added Al Zn Mg Cu Alloy Processed with High Pressure Torsion

Improved Combination of Strength and Ductility in Zirconium Added Al Zn Mg Cu Alloy Processed with High Pressure Torsion

In this study, the equivalent strain after HPT processing with one turn was about 9. Thus, in the HPT-1turn and HPT- 10turn samples, the increase and disappearance of disloca- tions balanced each other, and the grain refinement induced by the increase in strain became less significant. Therefore, the cross-sectional area did not decrease more than tenfold. On the other hand, the minor axis was halved with increasing number of turns (the cross-sectional area decreased by a fac- tor of four). Thus, dynamic recovery and dynamic recrystalli- zation were, to a certain extent, limited. As mentioned above, the η phase dispersed along the grain boundaries, and the Al 18 Mg 2 Cr 3 and Al 3 Zr phases prevented dislocation motion.
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The Effects of Cognitive Learning and Imagination Training on the Balances of the 14-16 Years Old Handball Players

The Effects of Cognitive Learning and Imagination Training on the Balances of the 14-16 Years Old Handball Players

Posture is basically the body status that is provided by stretching (myotatic) reflex and is protected against gravity. Posture and balance are provided by the stimulation from the vestibular organs found in the receptor and inner ear through reflexes (Günay & Cicioğlu, 2001). The body oscillation was performed with the eyes open and the eyes closed, on the fixed platform in the position of standing on the double leg. The optimal position for the double leg test is that the feet are open at the shoulder width. The standing positions of the feet were determined to be equidistant from the origin point, with reference to the lines on the x and y axis of the platform. During the entire 30-second test period, volunteers were asked to protect their position with the eyes open and closed.
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User Association for Load Balance in Heterogeneous M2M Networks

User Association for Load Balance in Heterogeneous M2M Networks

In the literature, the user association problem has been explored extensively [2]-[13]. In [2], a user association scheme for load balancing was proposed in HetNets. A distributed pricing-based user association scheme was developed for load balancing in downlink heterogeneous cellular networks [3]. In [4], a unified framework was designed for QoS-driven user association. An opportunistic user association scheme was investigated in [5]. An uplink user association scheme based on college admissions game was proposed in [6]. [8] proposed a user association scheme aiming at maximizing BSs’ energy efficiency. In [9], authors developed a joint BS operation and user association algorithm in HetNets. However, the schemes proposed in [2]-[10] are not suitable for massive number of MTC UEs’ transmissions due to allocating fixed resources to each UE. Accordingly, the above mentioned schemes [2]-[10] can not be applied to the user association for M2M communications directly.
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A Content-based Dynamic Load-Balancing Algorithm for Heterogeneous Web Server Cluster

A Content-based Dynamic Load-Balancing Algorithm for Heterogeneous Web Server Cluster

Abstract. According to the different requests of Web and the heterogeneity of Web server, the paper presents a content-based load- balancing algorithm. The mechanism of this algorithm is that a corresponding request is allocated to the server with the lowest load according to the degree of effects on the server and a combination of load state of server. Besides, apply a method of random distributing base-probability to assign each request to an appropriate server in terms of their weight. All the parameters that will be used in the algorithm can be acquired by simulated test. Experimental results suggest that this algorithm can balance the load of web server clusters effectively, make full use of the existing source of software and hardware, highly improve the server's performance, and even make the best use of the web server.
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Implementing dynamic allocation of user load in a distributed load testing framework

Implementing dynamic allocation of user load in a distributed load testing framework

A couple of variables and interesting data are displayed in a panel on the interface, namely: the Locust status, the current RPS (requests per seconds), the failure rate, and also if yo[r]

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An Efficient Load Balance Routing for Wireless Sensor Network

An Efficient Load Balance Routing for Wireless Sensor Network

An energy efficient cluster based load balance routing for wireless sensor networks utilizing multipath routing to answer user queries. a novel probability model to analyze the best redundancy level in terms of path redundancy (mp) and source redundancy (ms), as well as the best intrusion detection settings in terms of the number of voters (m) and the intrusion invocation interval (TIDS) under which the lifetime of a heterogeneous wireless sensor network is maximized while satisfying the reliability, timeliness and security requirements of query processing applications in the presence of unreliable wireless communication and malicious nodes. A routing-aware optimal cluster planning and a clustering-aware optimal random relays are used for efficient load balancing.
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