The proposed system of Hierarchical Virtual K-Means architecture has developed the hierarchical virtual k-means algorithm to create a net output of homogenous data spread across several machines and data centers in the cloud, which are engaged in storage operations, SAAS, PAAS etc., in different ...
So, what is a cluster in cloud computing? Simply put, it is a group of nodes hosted on virtual machines and connected within a virtual private cloud. Using the cloud allows for much of the overhead involved in setting up a cluster to be entirely bypassed. Virtual machines can be provision...
Cloud computing has recently emerged as a new paradigm to provide computing services through large-size data centers where customers may run their applications in a virtualized environment. The advantages of cloud in terms of flexibility and economy encourage many enterprises to migrate from local data...
Cloud computing as an emerging technology, has revolutionized the information technology industry by elastic on-demand provisioning and De-provisioning of computing resources. Due to the huge amount of electrical energy consumption by large-scale Datacenters, it is essential to investigate various ...
网络簇结构(network cluster structure)也称为网络社团结构(network community structure),是复杂网络中最普遍和最重要的拓扑属性之一。网络簇是整个网络中的稠密连接分支,具有同簇内部节点之间相互连接密集,不同簇的节点之间相互连接稀疏的特征。
Figure 1 shows the development process of cloud computing. As a result, it would be of significant real-world implications to explore big data clustering mining in combination with the cloud environment. The swarm intelligence optimization algorithm is a technology that has emerged in recent years....
In this paper, we provide a simple, fast and powerful method using dynamic clustering and cloud computing to detect genome-wide multi-locus epistatic interactions. We have constructed systematic experiments to compare powers performance against some recently proposed algorithms, including TEAM, SNPRuler,...
Cloud computing is a promising model of the Internet of Things (IoT) in data processing and business applications [1,2]. Using Cloud computing for IoT is not an easy task due to challenges such as synchronization, standardization, balancing between services and IoT needs [2,3,4,5,6]. ...
Discover expertly curated insights and news on AI, cloud and more in the weekly Think Newsletter. Subscribe today Types of clustering There are many different clustering algorithms as there are multiple ways to define a cluster. Different approaches will work well for different types of models depe...
Taking advantage of the powerful computing and flexibility charge abilities of cloud computing, an increasing number of applications moved to the cloud. As a result, how to assign the large-scale and dynamical workloads to the cloud servers with the trad