A Comprehensive Review on Edge Computing (original) (raw)
Related papers
2021
The Edge computing concept has gained traction in academic and corporate circles in recent years. It serves as a key part for many future technologies like 5G, Internet of Things (IoT), augmented reality and vehicle-to-vehicle communications by connecting cloud computing services to the end users. Delay-sensitive applications benefit from the Edge computing paradigm's reduced latency, mobility, and location awareness. Significant research has been carried out in the area of Edge computing, which is reviewed in terms of latest developments such as Cloudlet, and Fog computing, resulting in providing with more insight into the existing solutions and future applications. This article is intended to be an overview of huge progress in Edge computing, with a spotlight on the most important applications.
Edge Computing Architectures - A Survey on Convergence of Solutions
2018
Edge computing architectures and technologies, recently proposed, are complementary to centralized Cloud Computing, given that edge computing can offer faster response, higher context and location awareness, better mobility features, minimization of the data transfer to the centralized data centers, flexibility and so on, for a large scale of applications, including Internet of Things. Several approaches have been developed in parallel by different entities, like research groups, industry, operators, and standardization organizations. Fog computing, Multi-access (Mobile) Edge Computing, cloudlets, etc., are relevant examples, included in the large class of Edge computing. Their architectures and technologies have many essential common characteristics, but also differences in approach. A natural question is raised if any significant convergence (which is not yet seen) will emerge in the near future. This paper is not intended to be a complete survey, but it attempts to identify some ...
Impact of Mobile Edge Computing in Real-World
Today's world is seeing an increasing usage of mobile devices and sensor rich devices such as smartphones, tablets and wearable devices such as smart watches. The volume of data that is generated by these devices is huge. Centralized cloud computing architectures cannot address the problems of network latency and jitter, degrading QoS (Quality of Service) and QoE (Quality of Experience) and other challenges in the world of mobile users. In this paper, we survey the impact of Mobile Edge Computing in the real world, an emerging edge computing technology to bring the cloud computing paradigm beyond the centralized architecture towards the edge of the network, nearer to the devices.
IJERT-An Overview of Edge Computing
International Journal of Engineering Research and Technology (IJERT), 2019
https://www.ijert.org/an-overview-of-edge-computing https://www.ijert.org/research/an-overview-of-edge-computing-IJERTCONV7IS05016.pdf Cloud Computing has revolutionized how people store and use their data. However, there are some areas where cloud is limited; latency, bandwidth, security and a lack of offline access can be problematic. To solve this problem, users need robust, secure and intelligent on-premise infrastructure of edge computing. When data is physically located closer to the users who connect to it, information can be shared quickly, securely, and without latency. In financial services, gaming, health care and retail, low levels of latency are vital for a great digital expertise. To improve reliability and faster response time, combine cloud with edge infrastructure.
Edge Computing: Needs, Concerns and Challenges
— In numerous parts of computing, there has been a continuous issue between the centralization and decentralization aspect which prompted to move from mainframes to PCs and local networks in the past, and union of services and applications in clouds and data centers. The expansion of technological advances such as high capacity mobile end-user devices, powerful dedicated connection boxes deployed in most homes, powerful wireless networks, and IoT (Internet of Things) devices along with developing client worries about protection, trust and independence calls for handling the information at the edge of the network. This requires taking the control of computing applications, information and services away from the core to the other the edge of the Internet. Relevance of cloud computing to mobile networks is on an upward spiral. Edge computing can possibly address the concerns of response time requirement, bandwidth cost saving, elastic scalability, battery life constraint, QoS, etc. MEC additionally offers, high bandwidth environment, ultra-low latency that gives real-time access to radio networks at the edge of the mobile network. Currently, it is being used for enabling on-demand elastic access to, or an interaction with a shared pool of reconfigurable computing resources such as servers, peer devices, storage, applications, and at the edge of the wireless network in close proximity to mobile users. It overcomes obstacles of traditional central clouds by offering wireless network information and local context awareness as well as low latency and bandwidth conservation. In this paper, we introduce edge computing and edge cloud, followed by why do we need edge computing, its classifications, various frameworks, applications and several case studies. Finally, we will present several challenges, concerns and future scope in the field of edge computing. Index Terms— Mobile Edge Computing (MEC), Internet of Things (IoT) —————————— ——————————
A review of edge computing: Features and resource virtualization
Journal of Parallel and Distributed Computing, 2021
With the advent of Internet of Things (IoT) connecting billions of mobile and stationary devices to serve real-time applications, cloud computing paradigms face some significant challenges such as high latency and jitter, non-supportive location-awareness and mobility, and non-adaptive communication types. To address these challenges, edge computing paradigms, namely Fog Computing (FC), Mobile Edge Computing (MEC) and Cloudlet, have emerged to shift the digital services from centralized cloud computing to computing at edges. In this article, we analyze cloud and edge computing paradigms from features and pillars perspectives to identify the key motivators of the transitions from one type of virtualized computing paradigm to another one. We then focus on computing and network virtualization techniques as the essence of all these paradigms, and delineate why virtualization features, resource richness and application requirements are the primary factors for the selection of virtualization types in IoT frameworks. Based on these features, we compare the state-of-the-art research studies in the IoT domain. We finally investigate the deployment of virtualized computing and networking resources from performance perspective in an edge-cloud environment, followed by mapping of the existing work to the provided taxonomy for this research domain. The lessons from the reviewed are that the selection of virtualization technique, placement and migration of virtualized resources rely on the requirements of IoT services (i.e., latency, scalability, mobility, multi-tenancy, privacy, and security). As a result, there is a need for prioritizing the requirements, integrating different virtualization techniques, and exploiting a hierarchical edge-cloud architecture.
Overview of Edge Computing and Its Significance in the Era of IoT and Big Data
The FPI 4th International Conference, 2023
Edge computing has emerged as a promising paradigm for processing and analyzing data closer to the source, enabling low-latency, real-time, and context-aware applications. In this paper, we present a comprehensive survey of edge computing architectures and frameworks such as fog computing and hybrid edge. We explore various design principles, discuss their advantages, limitations, and performance characteristics, and provide insights into their suitability for different use cases and applications. This survey aims to provide researchers, practitioners, and industry professionals with a deeper understanding of the current landscape of edge computing architectures and frameworks.
2016
The “Cloud” is considered as the powerhouse that will fuel and support the expansion of IoT. The Internet of Things (IoT) continues to gain momentum as vendors and enterprises begin to embrace the opportunities this market presents. According to new research from International Data Corporation (IDC), the worldwide Internet of Things market will grow from 655.8billionin2014to655.8 billion in 2014 to 655.8billionin2014to1.7 trillion in 2020 with a compound annual growth rate (CAGR) of 16.9% [11] with devices, connectivity and IT services taking a majority stake in the market of IoT. This emerging wave of end-computing deployment requires mobility support, geo-distribution, location awareness and most notably very low latency. Will the Cloud be able to provide these features? Or maybe, the right question to ask is if it will be able to sustain the expected growth of IoT, with billions of devices communicating over data shared across inter-clouds while providing the kind of quality of service that we have come to expect over time. In this paper, we pore over the existing Cloud Computing landscape and contemplate its place in the “Things to Come” era of computing. We look at new hierarchical distributed architectures that extend from the edge of the network to the core of the cloud and delve into the idea of extending out the cloud and bringing it to the edge of the compute endpoints. Something that is now being called “The Fog”