Recently, we are witnessing an enormous burst of data due to the ever-increasing number of
Internet of Things (IoT) devices. The traditional cloud computing paradigm has failed to …

Clustering is a popular data analysis and data mining problem. Symmetry can be
considered as a pre-attentive feature, which can improve shapes and objects, as well as …

Federated cloud is a promising solution for cloud providers that enables collaboration and
leasing resources among multiple cloud providers. However, resource management in such …

Abstract The Peer to Peer-Cloud (P2P-Cloud) is a suitable alternative to distributed cloud-
based or peer-to-peer (P2P)-based content on a large scale. The P2P-Cloud is used in …

In cloud computing, task scheduling is one of the most important issues that need to be
considered for enhancing system performance and user satisfaction. Although there are …

Since the emergence of the process of registration and fusion images, research has
increased rapidly due to the importance of this technology and the need for it in all fields …

In green cloud computing, resources are allocated in a reasonable way so that cloud
computing systems are energy efficient and consume little power. In this paper, Parallel …

In a distributed storage and computing framework, traditional streaming data mining
techniques are inefficient when processing massive amounts of data. In this paper, we take …

Cloud computing delivers attractive processing and memory alternatives; however, cloud-
based solutions are typically accompanied by disadvantages and limitations, including …

Big Data has introduced the challenge of storing and processing large volumes of data (text,
images, and videos). The success of centralised exploitation of massive data on a node is …