Fog computing provides compute, storage, and networking services between edge devices and cloud data centers. It helps address issues with cloud computing like latency, limited bandwidth, and data protection. Fog computing, located at the network edge, can process real-time, geographically distributed data from millions of IoT devices like vehicles, factories, and infrastructure. This localized processing allows analysis and action on IoT data within seconds, addressing needs that cloud alone cannot meet. Fog enhances cloud computing for IoT scenarios by extending cloud capabilities closer to the edge.
Drones and Fog Computing - New Frontiers of IoT and Digital Transformation -...Biren Gandhi
Technology is considered one of the biggest drivers of Digital Transformation and Digital Disruption. Out of many frontiers of recent technological advancements, this talk focused on IoT, Drones and Fog Computing as key innovation accelerators for Digital Strategy.
Fog Computing Reality Check: Real World Applications and ArchitecturesBiren Gandhi
Is Fog Computing just a buzz or a real business?
The IoT is flooded with a variety of platforms and solutions. Fog Computing has been notably appearing as an evolving term in the context of IoT software. There is skepticism that Fog Computing is just another buzzword destined to disappear in the dust of time. Get insight from concrete business cases in a variety of IoT verticals – Agriculture, Industrial Manufacturing, Transportation, Smart & Connected Communities etc. and learn how Fog Computing can play a substantial role in each one of these verticals. Develop a judicious point of view with respect to the future of Fog Computing through market research, technology disruption vectors and ROI use cases presented in this session.
Sustainability and fog computing applications, advantages and challengesAbdulMajidFarooqi
Designing a sustainable society is a key concern of the United Nations' 2030 Sustainable Development Goals. Sustainable fog computing is the most prominent solution for most problems occurring in cloud data centers, such as latency, security, carbon footprint, electricity consumption and so on. It is an extended design of cloud computing that supports horizontal computing paradigm providing cloud-like services at the edge of user premises. After emerging IoT fog computing has become the first choice of time sensitive applications due to its residing closer to the devices and sensors. In this paper we have introduced fog computing and differentiated it from cloud, furthermore, we have discussed how we can achieve sustainability through fog in several applications areas. Also, we have presented some existing challenges of fog paradigm. Moreover, we have reviewed some existing work about fog computing.
This presentation has been presented in the 3rd International Conference on Computing and Communication Technologies (ICCCT’19), Chennai, India
For the full paper please visit: https://ieeexplore.ieee.org/document/8824983
In this presentation, Naveen introduces fog computing and how it can enable the functioning of IoT devices. Naveen's interest area lies in improving network security in IoT devices.
Drones and Fog Computing - New Frontiers of IoT and Digital Transformation -...Biren Gandhi
Technology is considered one of the biggest drivers of Digital Transformation and Digital Disruption. Out of many frontiers of recent technological advancements, this talk focused on IoT, Drones and Fog Computing as key innovation accelerators for Digital Strategy.
Fog Computing Reality Check: Real World Applications and ArchitecturesBiren Gandhi
Is Fog Computing just a buzz or a real business?
The IoT is flooded with a variety of platforms and solutions. Fog Computing has been notably appearing as an evolving term in the context of IoT software. There is skepticism that Fog Computing is just another buzzword destined to disappear in the dust of time. Get insight from concrete business cases in a variety of IoT verticals – Agriculture, Industrial Manufacturing, Transportation, Smart & Connected Communities etc. and learn how Fog Computing can play a substantial role in each one of these verticals. Develop a judicious point of view with respect to the future of Fog Computing through market research, technology disruption vectors and ROI use cases presented in this session.
Sustainability and fog computing applications, advantages and challengesAbdulMajidFarooqi
Designing a sustainable society is a key concern of the United Nations' 2030 Sustainable Development Goals. Sustainable fog computing is the most prominent solution for most problems occurring in cloud data centers, such as latency, security, carbon footprint, electricity consumption and so on. It is an extended design of cloud computing that supports horizontal computing paradigm providing cloud-like services at the edge of user premises. After emerging IoT fog computing has become the first choice of time sensitive applications due to its residing closer to the devices and sensors. In this paper we have introduced fog computing and differentiated it from cloud, furthermore, we have discussed how we can achieve sustainability through fog in several applications areas. Also, we have presented some existing challenges of fog paradigm. Moreover, we have reviewed some existing work about fog computing.
This presentation has been presented in the 3rd International Conference on Computing and Communication Technologies (ICCCT’19), Chennai, India
For the full paper please visit: https://ieeexplore.ieee.org/document/8824983
In this presentation, Naveen introduces fog computing and how it can enable the functioning of IoT devices. Naveen's interest area lies in improving network security in IoT devices.
Internet of Things (IoT) represents a remarkable transformation of the way in which our world will soon interact. Much like the World Wide Web connected computers to networks, and the next evolution connected people to the Internet and other people, IoT looks poised to interconnect devices, people, environments, virtual objects and machines in ways that only science fiction writers could have imagined.
This presentation include some of limitations of cloud computing that motivate cisco to come up with new fog computing .Fog is nothing but cloud or we can say it is an extension of the cloud.
The term “fog computing” or “edge computing” means that rather than hosting and working from a centralized cloud, fog systems operate on network ends. It is a term for placing some processes and resources at the edge of the cloud, instead of establishing channels for cloud storage and utilization.
ABSTRACT
Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider.
For securing user data from such attacks a new paradigm called fog computing can be used. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined network This technique can monitor the user activity to identify the legitimacy and prevent from any unauthorized user access. Here we have discussed this paradigm for preventing misuse of user data and securing information.
CONCLUSION
This proposal of monitoring data access patterns by profiling user behavior to determine if and when a malicious insider illegitimately accesses someone’s documents in a Cloud service. Decoy documents stored in the Cloud alongside the user’s real data also serve as sensors to detect illegitimate access. Once unauthorized data access or exposure is suspected, and later verified, with challenge questions for instance, this inundate the malicious insider with bogus information in order to dilute the user’s real data. Such preventive attacks that rely on disinformation technology could provide unprecedented levels of security in the Cloud and in social networks.
The Internet of Things arrived last decade when the number of devices (that can connect) outnumbered the world population. We have now entered a new age. The evolution from #virtualization to #cloud to #IoT and #BigData a consequence of the Moore Nielsen prediction and the rise of Fog Computing. The role of #OpenSource and #OpenStandards and the importance of the new trend: Open Data as the only way to keep sanity in Big Data. This is my presentation at the IEEE International Conference on Cloud Engineering in Boston on Pi Day 2014
Get Cloud Resources to the IoT Edge with Fog ComputingBiren Gandhi
Fog Computing as a foundational architectural concept for Internet of Things (IoT) and Internet of Everything (IoE).
Embedded devices in the IoT are hampered by the compute, storage, and service limitations of living life on the edge. As IoT edge devices comprise broader sensor networks for industrial automation, transportation, and other safety critical applications, their high uptime requirements are nonnegotiable and service latencies must be kept within realtime or near real time parameters. However, the size, weight, power, and cost constraints of edge platforms also inhibit the ondevice resources available for executing such functions. In this session, Gandhi will introduce Fog Computing, a new paradigm for the IoT that extends compute, storage, and application resources from the cloud to the network edge. Beyond the interplay between Fog and Cloud, Gandhi will show how Fog services can be leveraged across a range of heterogeneous platforms—from end user devices and access points to edge routers and switches—through software technology that facilitates the collection, storage, analysis, and fusion of data to drive success in your next IoT device deployment.
Extends cloud computing services to the edge of the network.
Similar to cloud, Fog provides:
Data
Computation
Storage
Application Services to end users.
Motivations for Fog Computing:
Smart Grid, Smart Traffic Lights in vehicular networks and Software Defined Networks.
Internet of Things (IoT) represents a remarkable transformation of the way in which our world will soon interact. Much like the World Wide Web connected computers to networks, and the next evolution connected people to the Internet and other people, IoT looks poised to interconnect devices, people, environments, virtual objects and machines in ways that only science fiction writers could have imagined.
This presentation include some of limitations of cloud computing that motivate cisco to come up with new fog computing .Fog is nothing but cloud or we can say it is an extension of the cloud.
The term “fog computing” or “edge computing” means that rather than hosting and working from a centralized cloud, fog systems operate on network ends. It is a term for placing some processes and resources at the edge of the cloud, instead of establishing channels for cloud storage and utilization.
ABSTRACT
Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider.
For securing user data from such attacks a new paradigm called fog computing can be used. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined network This technique can monitor the user activity to identify the legitimacy and prevent from any unauthorized user access. Here we have discussed this paradigm for preventing misuse of user data and securing information.
CONCLUSION
This proposal of monitoring data access patterns by profiling user behavior to determine if and when a malicious insider illegitimately accesses someone’s documents in a Cloud service. Decoy documents stored in the Cloud alongside the user’s real data also serve as sensors to detect illegitimate access. Once unauthorized data access or exposure is suspected, and later verified, with challenge questions for instance, this inundate the malicious insider with bogus information in order to dilute the user’s real data. Such preventive attacks that rely on disinformation technology could provide unprecedented levels of security in the Cloud and in social networks.
The Internet of Things arrived last decade when the number of devices (that can connect) outnumbered the world population. We have now entered a new age. The evolution from #virtualization to #cloud to #IoT and #BigData a consequence of the Moore Nielsen prediction and the rise of Fog Computing. The role of #OpenSource and #OpenStandards and the importance of the new trend: Open Data as the only way to keep sanity in Big Data. This is my presentation at the IEEE International Conference on Cloud Engineering in Boston on Pi Day 2014
Get Cloud Resources to the IoT Edge with Fog ComputingBiren Gandhi
Fog Computing as a foundational architectural concept for Internet of Things (IoT) and Internet of Everything (IoE).
Embedded devices in the IoT are hampered by the compute, storage, and service limitations of living life on the edge. As IoT edge devices comprise broader sensor networks for industrial automation, transportation, and other safety critical applications, their high uptime requirements are nonnegotiable and service latencies must be kept within realtime or near real time parameters. However, the size, weight, power, and cost constraints of edge platforms also inhibit the ondevice resources available for executing such functions. In this session, Gandhi will introduce Fog Computing, a new paradigm for the IoT that extends compute, storage, and application resources from the cloud to the network edge. Beyond the interplay between Fog and Cloud, Gandhi will show how Fog services can be leveraged across a range of heterogeneous platforms—from end user devices and access points to edge routers and switches—through software technology that facilitates the collection, storage, analysis, and fusion of data to drive success in your next IoT device deployment.
Extends cloud computing services to the edge of the network.
Similar to cloud, Fog provides:
Data
Computation
Storage
Application Services to end users.
Motivations for Fog Computing:
Smart Grid, Smart Traffic Lights in vehicular networks and Software Defined Networks.
KNoT - a framework for iot interoperabilityTiago Barros
There are more than 450 IoT platforms today. These platforms create isolated silos with their own devices, and the devices can not exchange data between platforms. To solve this problem, CESAR is developing the KNoT meta-platform, which presents an architectural interoperability framework for IoT.
Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks.
5. SO, WHAT IS THE „FOG“??
Fog Computing
is a highly virtualized platform that pro?vides compute, storage, and
networking services between end devices and traditional Cloud
Computing Data Centers, typically, but not exclusively located at the
edge of network.
CISCO „Fog Computing and Its Role in the Internet of Things“
FOG = CLOUD + IoT
6. CHARACTERIZATION OF FOG
COMPUTING
Mobility
Predominance
of wireless access.
Real-time
Interactions
Geographical
distribution
Very large number of nodes
Large-scale sensor networks
to monitor the environment
Support for on-line analytic
and interplay with the
Cloud.
11. INDUSTRY
Data is collected at the extreme edge: vehicles,
ships, factory floors, roadways, railways, etc.
Thousands or millions of things across a large
geographic area are generating data.
It is necessary to analyze and act on the data in
less than a second.
12. QUESTIONS?
Igor Tsybin,
Head of Innovation department and intellectual property
JSC "EDC "ELECTRONICS"Sources:
http://www.cisco.com/web/RU/news/releases/txt/2015/08/13d.html
http://www.cisco.com/c/dam/en_us/solutions/trends/iot/docs/computing-overview.pdf
