Guest Editorial: In-Network Computing: Emerging Trends for the Edge-Cloud Continuum

Zeng, Deze; Ansari, Nirwan; Montpetit, Marie‐José; Schooler, Eve M.; Tarchi, Daniele

doi:10.1109/mnet.2021.9606835

Cited by 17 publications

(6 citation statements)

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“…We note that the different forms of software entities can be physically executed in any computing location in communication networks [76], such as in-network computing [77]- [79] also referred to as computing in the network (COIN) [80], fog computing [81], [82], and multi-access edge computing (MEC) [83]- [89].…”

Section: E Summary Of Nf Softwarizationmentioning

confidence: 99%

Operating Systems and Hypervisors for Network Functions: A Survey of Enabling Technologies and Research Studies

et al. 2022

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Scalable and flexible communication networks increasingly conduct the packet processing for Network Functions (NFs) in General Purpose Computing (GPC) platforms. The input/output (I/O)-intensive and latency-sensitive packet processing is challenging for the operating systems and hypervisors running on GPC platforms. This article surveys the existing enabling technologies and research studies on operating system and hypervisor aspects that directly influence the packet processing for NFs on GPC platforms. We organize this survey according to the main categories abstraction approach, memory access, and I/O strategy. We further categorize abstraction approach technologies and research studies into the categories operation systems, hypervisors, and containers. We partition the memory access category into the two subcategories of memory allocation and memory access, while we partition the I/O strategy category into the sub-categories I/O device virtualization and I/O device access. Our survey gives a comprehensive summary of the capabilities and limitations of the existing enabling technologies and researched approaches for abstraction, memory access, and I/O for NF packet processing. We outline critical future research directions for advancing NF packet processing on GPC platforms.

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Section: E Summary Of Nf Softwarizationmentioning

confidence: 99%

Operating Systems and Hypervisors for Network Functions: A Survey of Enabling Technologies and Research Studies

et al. 2022

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“…For example, network elements in aerial computing, as edge devices, can partially perform computation tasks before pushing them into the network elements (e.g., switches and routers) for further processing. The integration shows great potential to respond to heterogeneous network scenarios and application requirements in 6G, but several challenges and limitations should be addressed [45].…”

Section: Power Consumptionmentioning

confidence: 99%

Aerial Computing: A New Computing Paradigm, Applications, and Challenges

Pham,

Ruby,

Fang

et al. 2022

Preprint

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In existing computing systems, such as edge computing and cloud computing, several emerging applications and practical scenarios are mostly unavailable or only partially implemented. To overcome the limitations that restrict such applications, the development of a comprehensive computing paradigm has garnered attention in both academia and industry. However, a gap exists in the literature owing to the scarce research, and a comprehensive computing paradigm is yet to be systematically designed and reviewed. This study introduces a novel concept, called aerial computing, via the amalgamation of aerial radio access networks and edge computing, which attempts to bridge the gap. Specifically, first, we propose a novel comprehensive computing architecture that is composed of low-altitude computing, high-altitude computing, and satellite computing platforms, along with conventional computing systems. We determine that aerial computing offers several desirable attributes: global computing service, better mobility, higher scalability and availability, and simultaneity. Second, we comprehensively discuss key technologies that facilitate aerial computing, including energy refilling, edge computing, network softwarization, frequency spectrum, multiaccess techniques, artificial intelligence, and big data. In addition, we discuss vertical domain applications (e.g., smart cities, smart vehicles, smart factories, and smart grids) supported by aerial computing. Finally, we highlight several challenges that need to be addressed and their possible solutions.

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“…This is not friendly to the development of IoT. To this end, there comes a compromise proposal, i.e., In-Network Computing (INC) or COmputing In the Network (COIN) Zeng et al (2021a), which unlocks all the networked devices' computing power to process the data along the transmission route.…”

Section: In-network Computingmentioning

confidence: 99%

Specialty Grand Challenge: IoT Communication and Networking Protocols

Zeng

2022

Front. Internet Things

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In the last decade, various kinds of smart end devices and sensors have been widely deployed and applied, and become the necessities in modern society Chettri and Bera (2019). It is also widely recognized that these devices should well collaborate with each other. This also catalyses the birth of Internet-of-Things (IoT) Hassan. ( 2019). IoT allows various devices, such as sensors, actuators, smart phones, and any smart devices, to connect with each other via the network, and to work together for providing better services eventually. Thanks to the fast development in the last decades, IoT has been applied in various aspects successfully, i.e., smart home Yang et al. (2018), smart city Kim et al. (2017) and smart health Sun et al. (2020), greatly reshaping our society.As communication is the core to realize collaboration, the communication and networking protocol plays a critical role in implementing an IoT system. As already widely discussed, due to the limitation of size, power and computation capability, traditional Internet oriented communication and networking protocols are not quite suitable to IoT. To this end, many protocols, such as Bluetooth Low Energy, ZigBee, Lora, NB-IoT, CoAP, 6LoWPAN, MQTT, have been proposed with different characteristics (e.g., power consumption, transmission rate, transmission range, etc.,) and application domains Dizdarević et al. (2019). In addition, the recent 5G, B5G, and 6G networks are also well known for their special support to IoT communications. Besides, Artificial Intelligence (AI) technology also become an essential part of IoT systems. Besides exploring AI technology to process the IoT data, the system could be also manipulated by AI for autonomous performance or resource efficiency optimization. Recognizing the fact that one protocol may not fit for all scenarios, the coordination and the compatibility between different protocols thus become critical issues. Besides, various IoT applications also urge us to optimize the communication and network protocols to satisfy diverse Quality-of-Experience (QoE). Therefore, in the past decades, many efforts has been devoted to optimizing the IoT communication and networking protocols from various aspects. Nonetheless, with the emergence of new technologies (e.g., Software Define Networking, backscatter communications, Blockchain), new trend (e.g., in-network computing), new applications (e.g., autonomous driving), the protocol design is still a hot topic as it still confronts many challenges. As a result, in this article, we will discuss the main challenges imposed by these new technologies, concept, and trends to the design of IoT communication and networking protocols.The rest of the paper is organized as follows: Section 2 discusses eight main challenges in the development of IoT communication and networking protocols. Section 3 summarizes these challenges and concludes this article.

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Guest Editorial: In-Network Computing: Emerging Trends for the Edge-Cloud Continuum

Cited by 17 publications

References 0 publications

Operating Systems and Hypervisors for Network Functions: A Survey of Enabling Technologies and Research Studies

Operating Systems and Hypervisors for Network Functions: A Survey of Enabling Technologies and Research Studies

Aerial Computing: A New Computing Paradigm, Applications, and Challenges

Specialty Grand Challenge: IoT Communication and Networking Protocols

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