Software-Defined Multi-cloud Computing: A Vision, Architectural Elements, and Future Directions

Buyya, Rajkumar; Son, Jungmin

doi:10.1007/978-3-319-95162-1_1

Cited by 10 publications

(4 citation statements)

References 22 publications

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“…Recently, some surveys and taxonomies have been presented in concern of SDC context [3,[13][14][15][16][17]. Buyya et al have many outstanding studies as they introduced the model architecture and vision of SDN in Multi-Cloud Computing [13], and presented an indepth discussion about the definition, taxonomy, characteristics and research trends of SDC [3]. Moreover, the authors also proposed several SDC frameworks [18,19], which is used to simulate SDN functions in CC.…”

Section: Related Workmentioning

confidence: 99%

Enhancing Security and Robustness for SDN-Enabled Cloud Networks

Thinh

2022

REV J. Electron. Commun.

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Software-Defined Networking is an emerging network architecture which promises to solve the limitations associated with current cloud computing systems based on traditional network. The main idea behind SDN is to separate control plane from networking devices, thereby providing a centralized control layer integrable to cloud-based infrastructure. The integration of SDN and Cloud Computing brings an immense benefits to network deployment and management, however, this model still faces many critical challenges with regards to availability, scalability and security. In this study, we present a security and robustness SDN-Enabled Cloud model using OpenStack and OpenDaylight. In particular, we design and implement a security clustering-based SDN Controller for monitoring and managing cloud networking, and a hardware platform to accelerate packet processing in virtual switches. We evaluate our proposed model on a practical cloud testbed consisting of several physical and virtual nodes. The experiment results show that the SDN controller cluster significantly improve robustness for the network even in case of being attacked by abnormal network traffic; while the hardware-accelerated switches can be operated in highperformance and well-adapted to the cloud environment.

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Section: Related Workmentioning

confidence: 99%

Enhancing Security and Robustness for SDN-Enabled Cloud Networks

Thinh

2022

REV J. Electron. Commun.

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“…OR "iot") AND ("fog computing" OR "fog") AND ("healthcare" OR "health") AND ("health record" OR "medical record" OR "EHR" OR "PHR" OR "EMR") Using the string above, we queried six different scientific databases: (i) IEEEXplore 1 , (ii) PubMed Central 2 , (ii) Google Scholar 3 , (iv) Springer Link 4 , (v) ACM Digital Library 5 , and (vi) Science Direct 6 . We chose these databases to cover a broad set of scientific literature published in different areas.…”

Section: Related Workmentioning

confidence: 99%

“…Fog computing is able to provide faster cloud-like services such as storage, computing, and networking capabilities closer to users and devices, by extending the data management field of the cloud and increases the accessibility of IoT resources [49]. These abilities are a consequence of allocating Fog nodes closer to the IoT devices, at the edge of the network, thus reducing communication's latency and promoting closer to real-time communication with the Things layer [6], [36], [46]. Given that IoT devices spend most of their available energy and computational resources to execute core application functionalities and data collection, supporting extra security and privacy turns to be quite challenging [15].…”

Section: Introductionmentioning

confidence: 99%

FogChain: A Fog Computing Architecture Integrating Blockchain and Internet of Things for Personal Health Records

et al. 2021

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The Internet of Things (IoT) adoption grows significantly and is successful in many different domains. Nevertheless, the ever-growing demand for more connected devices pushes the requirement for scalable IoT architectures capable of maintaining the security and privacy of collected data. The latter is a particularly critical aspect when considering sensitive data, e.g., medical records. One solution to address this challenge is to modify the centralized back-end model to one based on a Blockchain, changing the way IoT data is stored and shared by providing a decentralized peer-to-peer network. This technology enables naming and tracking for connected devices, and in the case of this article, features a high availability of Personal Health Records, yet protecting patients' privacy through the use of cryptography. Furthermore, the addition of Fog computing mechanisms helps to achieve real-time data processing, supports precision medicine, and avoids single points of failure. As a result, devices have a local and more resilient ecosystem for operation. In this context, this work proposes an architecture model named FogChain, which combines the technologies Blockchain, Fog computing, and the IoT for the healthcare domain. Our main contribution is the FogChain model itself, and its concept of overcoming IoT constraints by employing a differential approach, adding an intermediary Fog layer near to the edge to improve their capabilities and resources. Experiments demonstrate that FogChain can achieve a 62.6% faster response time when compared to Cloudlike Blockchain infrastructures. The results obtained from the evaluation endorses the capacity of our model in achieving its goals while retaining application performance.

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“…OpenDayLight is modular open platform for automating and customizing networks of any scale and size. The ODL provides a framework to migrate from existing network to SDN architecture [18]. It has been deployed in enterprises, data centers, carrier networks and supports a wide range of use cases.…”

Section: Opendaylight Controllermentioning

confidence: 99%

Cloud computing survey on services, enhancements and challenges in the era of machine learning and data science

Hassan

Chou

Omar

et al. 2020

IJ-ICT

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<p>Cloud computing has sweeping impact on the human productivity. Today it’s used for Computing, Storage, Predictions and Intelligent Decision Making, among others. Intelligent Decision Making using Machine Learning has pushed for the Cloud Services to be even more fast, robust and accurate. Security remains one of the major concerns which affect the cloud computing growth however there exist various research challenges in cloud computing adoption such as lack of well managed service level agreement (SLA), frequent disconnections, resource scarcity, interoperability, privacy, and reliability. Tremendous amount of work still needs to be done to explore the security challenges arising due to widespread usage of cloud deployment using Containers. We also discuss Impact of Cloud Computing and Cloud Standards. Hence in this research paper, a detailed survey of cloud computing, concepts, architectural principles, key services, and implementation, design and deployment challenges of cloud computing are discussed in detail and important future research directions in the era of Machine Learning and Data Science have been identified.</p>

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Software-Defined Multi-cloud Computing: A Vision, Architectural Elements, and Future Directions

Cited by 10 publications

References 22 publications

Enhancing Security and Robustness for SDN-Enabled Cloud Networks

Enhancing Security and Robustness for SDN-Enabled Cloud Networks

FogChain: A Fog Computing Architecture Integrating Blockchain and Internet of Things for Personal Health Records

Cloud computing survey on services, enhancements and challenges in the era of machine learning and data science

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