A Survey on Mobile Edge Computing (original) (raw)
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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.
Challenges and Opportunities in Edge Computing
Many cloud-based applications employ a data centre as a central server to process data that is generated by edge devices, such as smartphones, tablets and wearables. This model places ever increasing demands on communication and computational infrastructure with inevitable adverse effect on Quality-of-Service and Experience. The concept of Edge Computing is predicated on moving some of this computational load towards the edge of the network to harness computational capabilities that are currently untapped in edge nodes, such as base stations, routers and switches. This position paper considers the challenges and opportunities that arise out of this new direction in the computing landscape.
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: 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 Comprehensive Review on Edge Computing
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2023
The Edge computing paradigm has experienced significant growth in both academic and professional circles in recent years. By linking cloud computing resources and services to the end users, it acts as a crucial enabler for several emerging technologies, including 5G, the Internet of Things (IoT), augmented reality, and vehicle-to-vehicle communications. Applications that require low latency, mobility, and location awareness are supported by the edge computing paradigm. Significant research has been done in the field of edge computing, which is examined in terms of recent advances like mobile edge computing, cloudlets, and fog computing. This has allowed academics to gain a deeper understanding of both current solutions and potential future applications. This article aims to provide a thorough overview of current developments in edge computing while emphasising the key applications. In real-world situations where response time is a crucial need for many applications, it also examines the significance of edge computing. The prerequisites and open research issues in edge computing are discussed in the article's conclusion.
Electronics
With the proliferation of the Internet of Things (IoT) and the development of wireless communication technologies such as 5G, new types of services are emerging and mobile data traffic is growing exponentially. The mobile computing model has shifted from traditional cloud computing to mobile edge computing (MEC) to ensure QoS. The main feature of MEC is to “sink” network resources to the edge of the network to meet the needs of delay-sensitive and computation-intensive services, and to provide users with better services. Computation offloading is one of the major research issues in MEC. In this paper, we summarize the state of the art in task offloading in MEC. First, we introduce the basic concepts and typical application scenarios of MEC, and then we formulate the task offloading problem. In this paper, we analyze and summarize the state of research in the industry in terms of key technologies, schemes, scenarios, and objectives. Finally, we provide an outlook on the challenges an...