This document presents ENDA, a proposed solution for embracing network inconsistency in mobile cloud computing. ENDA is a three-tier architecture that aims to make the most energy efficient offloading decisions for smartphones by selecting the optimal Wi-Fi access point based on predicted user trajectory, workload balancing among cloudlets, and minimizing communication overhead. Preliminary results from a GUI-based simulation show ENDA's ability to choose the most energy efficient Wi-Fi network path according to a user's predicted movement. The solution seeks to address issues with current offloading approaches and overcome constraints of limited cloudlet resources and Wi-Fi coverage.
Above the Clouds: A Berkeley View of Cloud Computing: Paper Review Mala Deep Upadhaya
This slide presents a review of the paper "Above the Clouds: A Berkeley View of Cloud Computing" published on February 10, 2009.
Authors: Michael Armbrust, Armando Fox, Rean Griffith, Anthony D. Joseph, Randy Katz, Andy Konwinski, Gunho Lee, David Patterson, Ariel Rabkin, Ion Stoica, and Matei Zaharia
Supported From: UC Berkeley Reliable Adaptive Distributed Systems Laboratory
Click the link below to learn more about cloud and more in Free of Cost: https://bit.ly/3hNtmBj
Need support for writing/creating paper review?
Send me a message at my LinkedIn.
Recap of MITRE Cloud Collaboration Sessions by Justin Brunelle of MITRE | Dec...Tim Harvey
Justin Brunelle of MITRE gave a recap of the MITRE Cloud Collaboration Sessions at the Federal Cloud Computing Summit on Dec. 17, 2013 at the Ronald Reagan Building in Washington, D.C.
Speaker Presention by Irena Bojanova of the University of Maryland University...Tim Harvey
Irena Bojanova, Professor & Program Director in Information and Technology Systems at the University of Maryland University College, spoke at the Federal Cloud Computing Summit on Dec. 17, 2013 at the Ronald Reagan Building in Washington, D.C.
Above the Clouds: A Berkeley View of Cloud Computing: Paper Review Mala Deep Upadhaya
This slide presents a review of the paper "Above the Clouds: A Berkeley View of Cloud Computing" published on February 10, 2009.
Authors: Michael Armbrust, Armando Fox, Rean Griffith, Anthony D. Joseph, Randy Katz, Andy Konwinski, Gunho Lee, David Patterson, Ariel Rabkin, Ion Stoica, and Matei Zaharia
Supported From: UC Berkeley Reliable Adaptive Distributed Systems Laboratory
Click the link below to learn more about cloud and more in Free of Cost: https://bit.ly/3hNtmBj
Need support for writing/creating paper review?
Send me a message at my LinkedIn.
Recap of MITRE Cloud Collaboration Sessions by Justin Brunelle of MITRE | Dec...Tim Harvey
Justin Brunelle of MITRE gave a recap of the MITRE Cloud Collaboration Sessions at the Federal Cloud Computing Summit on Dec. 17, 2013 at the Ronald Reagan Building in Washington, D.C.
Speaker Presention by Irena Bojanova of the University of Maryland University...Tim Harvey
Irena Bojanova, Professor & Program Director in Information and Technology Systems at the University of Maryland University College, spoke at the Federal Cloud Computing Summit on Dec. 17, 2013 at the Ronald Reagan Building in Washington, D.C.
Optimising Service Deployment and Infrastructure Resource ConfigurationRECAP Project
This is a presentation delivered by Alec Leckey (Intel) at the 2nd Data Centre Symposium held in conjunction with the National Conference on Cloud Computing and Commerce (http://2018.nc4.ie/) on April 10, 2018 in Dublin, Ireland.
Learn more about the RECAP project: https://recap-project.eu/
Install the Intel Landscaper: https://github.com/IntelLabsEurope/landscaper
RECAP at ETSI Experiential Network Intelligence (ENI) MeetingRECAP Project
This presentation was delivered by Johan Forsman (Tieto), Jörg Domaschka (UULM) and Paolo Casari (IMDEA Networks) at the ETSI Experiential Network Intelligence (ENI) Meeting in Warsaw, Poland, on April 12th, 2019. ETSI Experiential Networked Industry Specification Group (ENI ISG) work on defining a Cognitive Network Management architecture using Artificial Intelligence (AI) techniques and context-aware policies to adjust offered services based on changes in user needs, environmental conditions and business goals. The intention is that the use of Artificial Intelligence techniques in the network management system should solve some of the problems of future network deployment and operations. For more information, see https://www.etsi.org/technologies/experiential-networked-intelligence.
From Jisc's campus network engineering for data-intensive science workshop on 19 October 2016.
https://www.jisc.ac.uk/events/campus-network-engineering-for-data-intensive-science-workshop-19-oct-2016
To minimize energy consumption in virtualization based on a computing cloudArumugam Reddy
• In this paper, I am investigate the burstiness-aware server consolidation problem from the perspective of resource reservation, i.e., reserving a certain amount of extra resources on each PM to avoid live migrations, and propose a novel server consolidation algorithm, QUEUE. QUEUE improves the consolidation ratio by up to 45 percent with large spike size and around 30 percent with normal spike size compared with the strategy that provisions for peak workload, and achieves a better balance between performance and energy consumption in comparison with other commonly-used consolidation algorithms.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/09/a-practical-guide-to-implementing-ml-on-embedded-devices-a-presentation-from-the-chamberlain-group/
Nathan Kopp, Principal Software Architect for Video Systems at the Chamberlain Group, presents the “Practical Guide to Implementing ML on Embedded Devices” tutorial at the May 2021 Embedded Vision Summit.
Deploying machine learning onto edge devices requires many choices and trade-offs. Fortunately, processor designers are adding inference-enhancing instructions and architectures to even the lowest cost MCUs, tools developers are constantly discovering optimizations that extract a little more performance out of existing hardware, and ML researchers are refactoring the math to achieve better accuracy using faster operations and fewer parameters.
In this presentation, Kopp takes a high-level look at what is involved in running a DNN model on existing edge devices, exploring some of the evolving tools and methods that are finally making this dream a reality. He also takes a quick look at a practical example of running a CNN object detector on low-compute hardware.
Support material for a paper on this theme, exploring the current state of cloud computing and its implications for the enterprise, and presenting a case study on the successful adoption of this technology for a big construction company.
Cloud Modeling vs Internal vs Global Market using Burstorm PlatformScott Goessling
Designing using Cloud and Infrastructure services can be very challenging. It is a big and complex market that moves very fast and changes every day. Are you getting ahead of falling behind?
This Presentation was prepared by Abdussamad Muntahi for the Seminar on High Performance Computing on 11/7/13 (Thursday) Organized by BRAC University Computer Club (BUCC) in collaboration with BRAC University Electronics and Electrical Club (BUEEC).
Cloud computing & energy efficiency using cloud to decrease the energy use in...Puru Agrawal
Cloud can be used to decrease the energy use in large companies. This presentation deals with a model which explains as how cloud can be used to decrease the energy uses. This is a field related to green computing and minimum use of energy resources.
This Chapter provides a Background Review of Parallel and Distributed Computing. a focus is made on the concept of SISD, SIMD, MISD, MIMD.
It also gives an understanding of the notion of HPC (High-Performance Computing). A survey is done using some case studies to show why parallelism is needed. The chapter discusses the Amdahl's Law and the limitations. Gustafson's Law is also discussed.
One of my first attempts to present my research in a popular way and explain to casual taxpayers why resource management in cloud computing is important.
Optimising Service Deployment and Infrastructure Resource ConfigurationRECAP Project
This is a presentation delivered by Alec Leckey (Intel) at the 2nd Data Centre Symposium held in conjunction with the National Conference on Cloud Computing and Commerce (http://2018.nc4.ie/) on April 10, 2018 in Dublin, Ireland.
Learn more about the RECAP project: https://recap-project.eu/
Install the Intel Landscaper: https://github.com/IntelLabsEurope/landscaper
RECAP at ETSI Experiential Network Intelligence (ENI) MeetingRECAP Project
This presentation was delivered by Johan Forsman (Tieto), Jörg Domaschka (UULM) and Paolo Casari (IMDEA Networks) at the ETSI Experiential Network Intelligence (ENI) Meeting in Warsaw, Poland, on April 12th, 2019. ETSI Experiential Networked Industry Specification Group (ENI ISG) work on defining a Cognitive Network Management architecture using Artificial Intelligence (AI) techniques and context-aware policies to adjust offered services based on changes in user needs, environmental conditions and business goals. The intention is that the use of Artificial Intelligence techniques in the network management system should solve some of the problems of future network deployment and operations. For more information, see https://www.etsi.org/technologies/experiential-networked-intelligence.
From Jisc's campus network engineering for data-intensive science workshop on 19 October 2016.
https://www.jisc.ac.uk/events/campus-network-engineering-for-data-intensive-science-workshop-19-oct-2016
To minimize energy consumption in virtualization based on a computing cloudArumugam Reddy
• In this paper, I am investigate the burstiness-aware server consolidation problem from the perspective of resource reservation, i.e., reserving a certain amount of extra resources on each PM to avoid live migrations, and propose a novel server consolidation algorithm, QUEUE. QUEUE improves the consolidation ratio by up to 45 percent with large spike size and around 30 percent with normal spike size compared with the strategy that provisions for peak workload, and achieves a better balance between performance and energy consumption in comparison with other commonly-used consolidation algorithms.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/09/a-practical-guide-to-implementing-ml-on-embedded-devices-a-presentation-from-the-chamberlain-group/
Nathan Kopp, Principal Software Architect for Video Systems at the Chamberlain Group, presents the “Practical Guide to Implementing ML on Embedded Devices” tutorial at the May 2021 Embedded Vision Summit.
Deploying machine learning onto edge devices requires many choices and trade-offs. Fortunately, processor designers are adding inference-enhancing instructions and architectures to even the lowest cost MCUs, tools developers are constantly discovering optimizations that extract a little more performance out of existing hardware, and ML researchers are refactoring the math to achieve better accuracy using faster operations and fewer parameters.
In this presentation, Kopp takes a high-level look at what is involved in running a DNN model on existing edge devices, exploring some of the evolving tools and methods that are finally making this dream a reality. He also takes a quick look at a practical example of running a CNN object detector on low-compute hardware.
Support material for a paper on this theme, exploring the current state of cloud computing and its implications for the enterprise, and presenting a case study on the successful adoption of this technology for a big construction company.
Cloud Modeling vs Internal vs Global Market using Burstorm PlatformScott Goessling
Designing using Cloud and Infrastructure services can be very challenging. It is a big and complex market that moves very fast and changes every day. Are you getting ahead of falling behind?
This Presentation was prepared by Abdussamad Muntahi for the Seminar on High Performance Computing on 11/7/13 (Thursday) Organized by BRAC University Computer Club (BUCC) in collaboration with BRAC University Electronics and Electrical Club (BUEEC).
Cloud computing & energy efficiency using cloud to decrease the energy use in...Puru Agrawal
Cloud can be used to decrease the energy use in large companies. This presentation deals with a model which explains as how cloud can be used to decrease the energy uses. This is a field related to green computing and minimum use of energy resources.
This Chapter provides a Background Review of Parallel and Distributed Computing. a focus is made on the concept of SISD, SIMD, MISD, MIMD.
It also gives an understanding of the notion of HPC (High-Performance Computing). A survey is done using some case studies to show why parallelism is needed. The chapter discusses the Amdahl's Law and the limitations. Gustafson's Law is also discussed.
One of my first attempts to present my research in a popular way and explain to casual taxpayers why resource management in cloud computing is important.
TRI, the risk-based monitoring company holds a number of industry "firsts". TRI is the first company entirely dedicated to RBM and quality oversight. They are the creators of the world's first purpose-built RBM platform, OPRA, and the first company to offer a true, holistic RBM solution- offering not only the technology but also the knowledge and services required for any organization wishing to successfully implement and adopt a risk-based approach in their clinical trials. TRI - Where's the Risk?
Recomendaciones sobre evaluación de desempeñoJesus Villa
El llamado estatuto de la profesionalización docente, decreto 1278 de 2002, está centrado en la evaluación como eje central de la carrera docente, este sistema es altamente punitivo y que a su vez genera acoso e inestabilidad laboral, viola la libertad de cátedra, sometiendo al docente a las necesidades del mercado de la educación, desdibujando un objetivo diagnóstico y formativo. Partiendo que el decreto 3782 de 2007, reglamenta la Evaluación de Desempeño y se orienta con la Guía 31 de 2007 del MEN. Resaltaremos algunos aspectos a tener en cuenta frente al debido proceso
The role of the new ISO 9001:2015 leadership requirements in companiesPECB
In the ISO 9001:2015, this is an opportune time for managers, directors, and business owners to get up to speed on the new leadership requirements. The latest version, ISO 9001:2015, has 11 requirements that Top Management must demonstrate to show commitment to their Quality Management System.
Main points covered:
• The role Leaders plays in setting and achieving organizational objectives
• The impact Leadership can have on organizational communication
• How Leaders can share values, demonstrate fairness, and present an ethical role model
Presenter:
This webinar was presented by George Ogoti an MSC (Chemical Engineering) holder, also he is an International Auditor, Trainer and Consultant on SHEQFS and other systems . He has an excellent knowledge industry's standards having worked for over 34 years. He is also a PECB certified auditor, trainer and implementer and has extensive coverage in Africa and Middle East and Managing Director of MMCAFRICA.
Link of the recorded session published on YouTube: https://youtu.be/PBSQ9hxrSS8
Towards the extinction of mega data centres? To which extent should the Clou...Thierry Coupaye
Keynote by Thierry Coupaye at the IEEE International Conference on Cloud Networking, Niagara Falls, Canada, October 2015.
Summary: Cloud computing emerged, a decade or so ago, from underused computing and storage ressources in Internet players mega data centres that were thought to be provided "as a service". As a result of this inception, Cloud is often considered as a synonym for massive data center, which somehow fuels a very centralised vision of (cloud) computing and storage provision. However, we might be at a time in which the pendulum begins to swing back. Indeed, several initiatives are emerging around a vision of more geographically distributed clouds where computing and storage resources are made available at the edge of the network, close to users, in complement or replacement of massive remote data centres. This presentation discusses, through some examples, the evolution of cloud architectures towards more distribution, the signs and stakes of these mutations.
Keynote presentation by Amin Vahdat on behalf of Google Technical Infrastructure and Google Cloud Platform. Presentation was delivered at the 2017 Open Networking Summit.
(R)evolution of the computing continuum - A few challengesFrederic Desprez
Initially proposed to interconnect computers worldwide, the Internet has significantly evolved to become in two decades a key element in almost all our activities. This (r)evolution mainly relies on the progress that has been achieved in computation and communication fields and that has led to the well-known and widely spread Cloud Computing paradigm.
With the emergence of the Internet of Things (IoT), stakeholders expect a new revolution that will push, once again, the limits of the Internet, in particular by favouring the convergence between physical and virtual worlds. This convergence is about to be made possible thanks to the development of minimalist sensors as well as complex industrial physical machines that can be connected to the Internet through edge computing infrastructures.
Among the obstacles to this new generation of Internet services is the development of a convenient and powerful framework that should allow operators, and devops, to manage the life-cycle of both the digital infrastructures and the applications deployed on top of these infrastructures, throughout the cloud to IoT continuum.
In this keynote, Frédéric Desprez and his colleague Adrien Lebre presented research issues and provide preliminary answers to identify whether the challenges brought by this new paradigm is an evolution or a revolution for our community.
Parallel Wireless - Making carrier-grade cellular network deployments as easy...Small Cell Forum
Our presence at #MWC18 is being supported by industry innovators Parallel Wireless. Find out more about how this innovative company is reimagining the cellular infrastructure and building solutions that will enable and accelerate the transition from today’s 2G/3G/4G networks to tomorrow’s 5G networks.
Energy Cost Models of Smartphones for Task Offloading to the CloudAswin Vp
Energy Cost Models of Smartphones forTask Offloading to the Cloud
Smartphones have unique constraints
Need to reduce the energy consumption
Many methodologies and techniques have been proposed in literature
Cloud computing
Task offloading
Cloudlet-Based Cyber-Foraging in Resource-Constrained EnvironmentsPatricia Lago
First responders and others operating in crisis environments increasingly make use of handheld devices to help with tasks such as face recognition, language translation, decision-making and mission planning. These resource-constrained environments are characterized by dynamic context, limited computing resources, high levels of stress, and poor network connectivity. Cyber-foraging in general is the leverage of external resource-rich surrogates to augment the capabilities of resource-limited devices. In Cloudlet-Based Cyber-Foraging, resource-intensive computation and data is offloaded to cloudlets – discoverable, generic servers located in single-hop proximity of mobile devices. I will present the basics of cloudlet-based cyber-foraging in addition to future work in this area to address system-wide quality attributes that are critical in resource-constrained environment, beyond energy, performance and fidelity of results.
1. ENDA: Embracing Network Inconsistency for
Dynamic Application Offloading
in Mobile Cloud Computing
Jiwei Li Kai Bu Xuan Liu Bin Xiao
The Hong Kong Polytechnic University
Presenter: Jiwei Li
8. Uninvestigated Issues in Offloading
• Offloading at mobile environments
• Balancing workloads among multiple cloudlets
Our research is focused on
offloading to cloudlets through Wi-Fi
at mobile environments.
10. Re-connection Matters
• Re-connection includes
– Scanning
– Connecting
– Assigning IP and network ID
• Takes long time (1-12s)
• Consumes additional power
Reducing re-connection times means increasing energy efficiency.
11. Our Studied Problems
• How to predict user’s trajectory?
• How to select Wi-Fi access points (AP)?
• How to balance workload among cloudlets?
12. Problem Formulation
• Minimize:
– Communication overheads during offloading at
mobile environments
• Must satisfy requirements:
– App-specific network latency
– App-specific response time
To put it simply, we aim to
select the most energy-efficient Wi-Fi access point,
taking user mobility and server load into account.
14. Answering a few questions …
• Is it feasible to deploy cloudlets at large scale?
• Bind current public Wi-Fi hotspots with cloudlets.
• How do we overcome resource constraints on
cloudlets?
• Adopt workload balance management mechanism among
participating cloudlets.
• How do we conquer Wi-Fi’s limited coverage range
issue?
• Propose mobility-aware Wi-Fi AP selection scheme.
18. Advantages
• Minimize end-to-end communication
overheads
• Exempt smartphones from complex
computation of making decisions
• Improve energy efficiency for offloading
19. Demo Scenario
Predicted user track
(will be pruned based on
app info & network conditions)
Effective routes:
N1 -> (S, A)
N2 -> (S, B)
N3 -> (S, D)
N4 -> (C, D)
ENDA chooses the most energy-efficient Wi-Fi AP
according to the specific predicted track
Start offloading at location S
24. Conclusion
• ENDA
– Difference from previous work
– Minimize communication overheads
– Potential to apply to real offloading systems
• Future work
– Thorough mathematical analysis
– Implementation
– More complex scenarios