Database-centric architecture

About: Database-centric architecture is a research topic. Over the lifetime, 1799 publications have been published within this topic receiving 48836 citations.

The concept of time-average-frequency and mathematical analysis of flying-adder frequency synthesis architecture

Abstract: Flying-adder frequency synthesis architecture is a novel technique of generating frequency on chip. Since its invention, it has been utilized in many commercial products to cope with various difficult challenges. During the evolution of this architecture, the issues related to circuit- and system-level implementation have been studied in prior publications. However, rigorous mathematical treatment on this architecture has not been established. In this paper, we attempt to explore and understand the signal characteristics and frequency domain behavior of this architecture through mathematical analysis. In the meantime, the underlying concept associated with this architecture, time-average-frequency, is formally introduced.

IoT in the Fog: A Roadmap for Data-Centric IoT Development

Abstract: Our interactions with the world are increasingly dependent on context-aware services, and the future of smart cities is coupled with how efficiently and reliably we can deliver these services to end users. In this article we present the premise of personalized IoT systems, by leveraging novel advancements in user-centric technologies under the fog computing architecture. This means leveraging the connectivity and processing potential of the fog to bring IoT control and analytics closer to the user, and improve the coupling of services with local IoT components in user-centric contexts. The potential gain in access latency and context-sensitive service matching will enable a multitude of smart city services. On one hand, data management (collection, pruning, denaturing [1], and encryption) can take place closer to the edge, thereby leveraging network load and service times. On the other hand, service matching in smart city applications will witness higher responsiveness and resource visibility in areas with intermittent connectivity or high mobility. We first present the challenges in migrating cloud-IoT architectures to the network edge, and detail the hindrances in transitioning the control and management of IoT systems to the user end. As a remedy, we survey recent advancements in the IoT, ubiquitous computing, and user-centric services, which enable us to advance personalized IoT architectures. We finally present a framework for IoT in the fog to synergize these advancements, and present a proof-of-concept use case to highlight its utility and impact. We conclude this article with prime directions for future work to realize a personalized IoT architecture, and highlight the potential gain in prioritizing five high-yield potential research issues.

The evolution of distributed systems towards microservices architecture

Abstract: Applications developed to fulfil distributed systems needs have been growing rapidly. Major evolutions have happened beginning with basic architecture relying on initiated request by a client to a processing side referred to as the server. Such architectures were not enough to cope up with the fast ever-increasing number of requests and need to utilize network bandwidth. Mobile agents attempted to overcome such drawbacks but did cope up for so long with the growing technology platforms. Service Oriented Architecture (SOA) then evolved to be one of the most successful representations of the client-server architecture with an added business value that provides reusable and loosely coupled services. SOA did not meet customers and business expectations as it was still relying on monolithic systems. Resilience, scalability, fast software delivery and the use of fewer resources are highly desirable features. Microservices architecture came to fulfil those expectations of system development, yet it comes with many challenges. This paper illustrates how distributed systems evolved from the traditional client-server model to the recently proposed microservices architecture. All architectures are reviewed containing brief definitions, some related work and reasoning of why they had to evolve. A feature comparison of all architectures is also provided.