Research in the Internet of Things (IoT) conceives a world where everyday objects are
connected to the Internet and exchange, store, process, and collect data from the …

Purpose The purpose of this paper is to identify the critical challenges in the implementation
of cloud enterprise resource planning (ERP). The challenges identified were customization …

Using heterogeneous clouds has been considered to improve performance of big-data
analytics for healthcare platforms. However, the problem of the delay when transferring big …

Cloud-based ERP systems are substantially expanding, which is expected shortly to
demonstrate a significant impact on the current business model. Identifying the Critical …

The cloud computing paradigm has been defined from several points of view, the main two
directions being either as an evolution of the grid and distributed computing paradigm, or, on …

Recommender systems typically use collaborative filtering to make sense of huge and
growing volumes of data. An emerging trend in industry has been to use public clouds to …

We propose an optimization model for designing multiple network functions virtualization
(NFV)-based campus area networks (CANs). Organizations, such as universities and …

Customer price knowledge has been the object of considerable research in the past
decades since the advent of online shopping. Furthermore, customers express online their …

Mass production of data is increasingly explored, particularly for extracting value from real-
time data. With this, there is a need for continuity and quality of services in latency sensitive …

The Edge-Cloud Continuum (ECC) is an emerging paradigm for the holistic exploitation of
all sorts of hardware resources. Compared with traditional cloud computing, ECC is more …