A service‐oriented taxonomical spectrum, cloudy challenges and opportunities of cloud computing

Abstract

Cloud computing has emerged as a popular computing milieu that provides a range of delivering solutions for small to large enterprises with a flexible model that allows a computing power and storing space for the large volumetric data within minimum cost. These days, computational paradigm is shifting towards utility-based pay-as-you-go model and many discussion aside, but there remains no canonical definition of cloud computing yet. In this paper we have proposed a service-oriented taxonomical spectrum of cloud computing, which is more focused on the service engineering perspective of cloud. Our argument behind cloud engineering is a layered structural approach 'as a Service' such as security as a service, fault tolerance as a service, architecture as a service. The main contribution of this paper is to identify a wide spectrum of taxonomy, aiming at a better understanding of functional as well as architectural components that could benefit from cloudification. We describe each sub-taxonomy (architecture, core services, security, fault tolerance, management services etc.) in details. In addition, we present a comparative study of several cloud systems based on taxonomy. Moreover, it also identifies many challenges and opportunities that exist on the landscape of enterprise cloud.

Advanced communication systems for enhanced big data technology and applications

“…In big data technology, communication systems are implemented in such ways that data are collected from heterogeneous services and integrated seamlessly. To make big data technology more user-centric, further exploration is called for in the areas of data utilization and communication system in heterogeneous network environments [1][2][3][4]. Therefore, many scientists have been actively engaged in researching in the following fields in connection with big data technology: networking, data mining, information security, and privacy protection.…”

“…Therefore, many scientists have been actively engaged in researching in the following fields in connection with big data technology: networking, data mining, information security, and privacy protection. This special issue aims to focus on the topics of communication system in enhanced big data technology and application [1][2][3][4].Areas of interest for the special issue 'Advanced Communication Systems for Enhanced Big Data Technology and Applications' include the following topics: big data processing and analytics in communication systems; modeling, semantics, and protocols for big data; agent technology and context-aware system; big data mining for network optimization; social networks influence on communication systems; real-time and streaming data processing and analytics; network protocol for ubiquitous data gathering; data management for mobile and pervasive computing and networking; architecture and optimization of advanced big data technology; cloud/grid/stream computing for big data; applications and security for big data; testbeds and case studies for big data technologies and applications.We have received many manuscripts. Only six manuscripts with high quality were finally selected for this special issue.…”

Uma arquitetura de nuvem em comunidade para aplicações de tempo real.

“…Typically, the service model offered by providers can be classified into the following categories [RIMAL and CHOI 2012], [LENK et al 2009 • Private cloud: the cloud infrastructure is owned by one company, which is both the provider and consumer of cloud services…”

“…Community clouds derive from the concept of digital ecosystems [BRISCOE and WILDE 2006] and present properties of adaptation, self-organization, scalability and sustainability, inspired by natural ecosystems, which are robust and scalable too. In this type of architecture, the infrastructure is shared by different companies which present a common goal [RIMAL and CHOI 2012]. These companies can provide resources to each other in order to increase processing capabilities during peak times, taking on the roles of consumer, producer and (or) coordinator [BRISCOE and MARINO 2009].…”

“…It might be deployed through the use of virtual machines or physical machines that could be allocated depending on the performance expected. IaaS services provide higher flexibility, faster service delivery, better performance and dynamic scaling [RIMAL and CHOI 2012].…”