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Dynamic application placement for clustered web applications heavily influences system performance and quality of user experience. Existing approaches claim that they strive to maximize the throughput, keep resource utilization balanced across servers, and minimize the start/stop cost of application instances. However, they fail to minimize the worst case of server utilization; the load balancing...
Immune Genetic Algorithm-based Load Balancing (IGALB) was proposed to improve the efficiency of search quality and the poor performance of local search in the Simple Genetic Algorithm-based Load Balancing (SGALB). This algorithm ensured the diversity of population and overcame the SGALB premature convergence by carrying out the affinity and concentration calculations. Meanwhile under certain conditions...
Load balance is an important problem of cluster. The core of cluster task distribution is the load balance algorithm. LVS load balance technology is introduced briefly, the known load balancing algorithms and their merits and demerits are discussed in this paper; A Residual Load Rate based the combination of static and dynamic balance strategy is proposed after analyzing static balance technology...
The anticipated uptake of Cloud computing, built on well-established research in Web Services, networks, utility computing, distributed computing and virtualisation, will bring many advantages in cost, flexibility and availability for service users. These benefits are expected to further drive the demand for Cloud services, increasing both the Cloud's customer base and the scale of Cloud installations...
With the development of internet technology, the entire amount of data on the internet has shown the explosive growth. Some researchers have paid their attention to find an effective way to store and manage these data. In this paper, we introduce a load rebalancing algorithm to solve the load balancing problem among all chunk servers(compute nodes) in the distributed file system; it also ensures that...
To obtain a better capacity of clustered Web servers, a load balancing algorithm is presented in this paper based on dual-load prediction, using the different characteristics of Web server users' requests for static and dynamic content. First, wavelet packet-SVR (support vector regression) prediction model is constructed; then, the arriving assignments are distributed according to the type of the...
The unexpected and continuous changes of the workload reaching any Internet-based service make really difficult to guarantee a balanced utilization of the server resources. In this paper, we propose a novel class of state-aware dispatching algorithms that take into account not only the present resource load but also the behavioral trend of the server load, that is, whether it is increasing, decreasing...
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