- Autonomic computing is a discipline that aims to create self-managing computer systems inspired by biological systems like the human central nervous system.
- It aims to overcome the complexity and inability to effectively maintain current and emerging computer systems by making systems self-configuring, self-healing, self-optimizing and self-protecting.
- Early research projects are exploring techniques like recovery-oriented computing, self-securing storage, and swarm-based autonomous systems to achieve attributes of self-management in systems.
This is the presentation I made for my seminar on the topic Autonomic Computing, which describes the Computing systems that can adjust themselves and adapt to various changes, autonomic-ally.
Autonomic computing is a computer's ability to manage itself automatically through adaptive technologies that further computing capabilities and cut down on the time required by computer professionals to resolve system difficulties and other maintenance such as software updates.
This is the presentation I made for my seminar on the topic Autonomic Computing, which describes the Computing systems that can adjust themselves and adapt to various changes, autonomic-ally.
Autonomic computing is a computer's ability to manage itself automatically through adaptive technologies that further computing capabilities and cut down on the time required by computer professionals to resolve system difficulties and other maintenance such as software updates.
What is Serverless Computing?
From its Introduction, Architecture, Characteristics, Commercial Platform, Benefits and Drawbacks, Use Cases and Workloads, to its API Composition.
AI and its applications are not going away and will cause a significant amount of change to everyday life over the next decade. Whilst there has been a lot of buzz in the past that has not been fulfilled, advances in skills, computing power and modelling and ensuring that the hype is finally being realised. To some extent, we don’t even know what AI is capable of yet which is both exciting and scary!
Cloud Computing, Introduction to Cloud computing, Basic concept of cloud computing, Benefits of cloud computing, Disadvantages of cloud computing, Deployment Models, Service Models, Platforms for Cloud Computing, Conclusion
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.
Artificial Intelligence Machine Learning Deep Learning PPT PowerPoint Present...SlideTeam
This PPT is for the mid level managers giving information about AI Artificial Intelligence, Machine Learning ML, Deep Learning DL, Supervised Machine Learning, Unsupervised Machine Learning, Reinforcement Learning. You can also learn the difference between Artificial Intelligence and Machine Learning and deciding which out of AI or DL or ML will be better for your business. You will also get to know about the Expert System, its examples, characteristics, components, etc. https://bit.ly/2ApMbXB
Overview of Artificial Intelligence in CybersecurityOlivier Busolini
If you are interested in understsanding a bit more the potential of Artifical Intelligence in Cybersecurity, you might want to have a look at this overview.
Written from my CISO -and non AI expert- point of view, for fellow security professional to navigate the AI hype, and (hopefully!) make better, informed decisions :-)
All feedback welcome !
Introduction
Metadata and Ontology in the Semantic Web
Semantic Web Services
A Layered Structure of the Semantic Grid
SemanticGrid
Autonomic Computing
What is Serverless Computing?
From its Introduction, Architecture, Characteristics, Commercial Platform, Benefits and Drawbacks, Use Cases and Workloads, to its API Composition.
AI and its applications are not going away and will cause a significant amount of change to everyday life over the next decade. Whilst there has been a lot of buzz in the past that has not been fulfilled, advances in skills, computing power and modelling and ensuring that the hype is finally being realised. To some extent, we don’t even know what AI is capable of yet which is both exciting and scary!
Cloud Computing, Introduction to Cloud computing, Basic concept of cloud computing, Benefits of cloud computing, Disadvantages of cloud computing, Deployment Models, Service Models, Platforms for Cloud Computing, Conclusion
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.
Artificial Intelligence Machine Learning Deep Learning PPT PowerPoint Present...SlideTeam
This PPT is for the mid level managers giving information about AI Artificial Intelligence, Machine Learning ML, Deep Learning DL, Supervised Machine Learning, Unsupervised Machine Learning, Reinforcement Learning. You can also learn the difference between Artificial Intelligence and Machine Learning and deciding which out of AI or DL or ML will be better for your business. You will also get to know about the Expert System, its examples, characteristics, components, etc. https://bit.ly/2ApMbXB
Overview of Artificial Intelligence in CybersecurityOlivier Busolini
If you are interested in understsanding a bit more the potential of Artifical Intelligence in Cybersecurity, you might want to have a look at this overview.
Written from my CISO -and non AI expert- point of view, for fellow security professional to navigate the AI hype, and (hopefully!) make better, informed decisions :-)
All feedback welcome !
Introduction
Metadata and Ontology in the Semantic Web
Semantic Web Services
A Layered Structure of the Semantic Grid
SemanticGrid
Autonomic Computing
Here is Matt Brender's presentation at Big Data TechCon centered on understanding how distributed systems play a role in Big Data.
Full description:
Whether you’re an experienced user of Hadoop or a recent convert to Spark, you recognize that data is powerful when stored and analyzed. Analysis, as a workload, can be contrasted with the initial creation and storage of that data. These “active” workloads are what generate the data we covet.
Understanding this persistence of data as workload requires an appreciation of distributed systems. We will explore what factors affect your choice in database technology and particularly how to prioritize the choice in core architectural underpinnings present in NoSQL designs. We will also explore what these technologies solve and suggestions for how to align them with your business objectives.
You’ll leave this session with an understanding of the basic principles of NoSQL architectural design and a deeper understanding of the considerations when identifying a persistence solution for your active workloads.
Autonomic Computing - Dataflow Programming and Reactive State MachinesPeter Lee
Presented during Los Angeles Autonomic Computing Meetup on March 6, 2017.
Introduction to Dataflow Programming and building Data Pipelines across micro-services architecture.
This is a lightning presentation given by Anita Barabe to our team introducing the new Google Wave tool and got us talking about how we might leverage it to the team's benefit.
Presentation on Brain Computer Interface. It describes how our brain is used as a signaling mechanism for computer. different types of BCIs and its applications.
This presentation will give brief and basic knowledge about the operating system.
Types of operating systems are included in this ppt, too.
Types of the operating system are explained with the help of examples.
In this ppt, you will get to know about the advantages and disadvantages of types of operating systems.
Go through this ppt to get a crystal clear concept of the operating system.
Through this PPT you may learned about Operating System, Types of OS, History of OS, Operating System Software, Gives detailed information about Device Management, Memory Management, File Management
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
2. It all started in 1876...
• Alexander Graham
Bell
• Inventor of the
telephone
• One of the most
influential inventions
ever
• Widely adopted
• By 1886 nearly
150.000 Americans
had telephones in
their homes
05/05/2010 2
3. The Telephony Crisis of 1920
• Manual telephone
switchboards
• By the year of 1980,
every woman in the
U.S. would have to
work as a
switchboard operator
• The Solution:
Automatic Branch
Exchanges
05/05/2010 3
4. Flash Forward to 2001
• The 'telephone' is the
computer
• The 'telephone
network' is the
Internet
• The 'telephone
operators' are system
administrators
• Predictions are that
by the year 2010, 200
million workers will
have to maintain
trillion systems
• We need to invent the
'automatic branch
exchanges' of the 21st
05/05/2010 century 4
5. IBM's Vision
• Paul Horn, Senior Vice President of
Research
• Creator of the term 'autonomic
computing'
• Systems need to develop 'self-
managing' capabilities
• System administrators will no longer be
needed for maintaining computer
systems
• Author of the Autonomic Computing
Manifesto
05/05/2010 5
6. Outline
• The Solution
• What is Autonomic Computing?
• Designing Autonomic Computer Systems
• Eight Principles of Autonomic Computing
• The Benefits
• Short-term IT related benefits
• Long-term, Higher Order Benefits
• Research Projects
05/05/2010 6
7. The Solution
• End users of computer systems are the
primary stakeholders
• They desire:
• Intuitive interaction with the system
• Their involvement in the smooth running of the
system to be minimal to none
• Conclusion: the system has to be
autonomic
• The only know truly autonomic system is
the human central nervous system
• Sends control messages to the organs in
the human body at a sub-concious level
05/05/2010 7
9. What is Autonomic Computing?
• A network of autonomic, smart computing
components which provide the user with
the desired functionality without a
concious effort
• A new computing paradigm, transferring
the focus from computing to data
• Key concept: Allow users to access data
from multiple distributed points, with
great transparency to how this is
achieved
• Focus in IT industry must change from
increasing processing speed and storage
capacity to developing large distributed,
self-managing, self-diagnostic networks
05/05/2010 9
10. Designing Autonomic Computer
Systems
• Change in design, implementation and
support is imminent
• Three basic principles:
• Flexible. Data transfer through a
platform/hardware independent approach
• Accessible. The system must be always
accessible; always 'on'
• Transparent. The system will function and
adapt to the users needs without any human
involvement
05/05/2010 10
11. Eight Principles of Autonomic
Computing
• An autonomic computing system needs
to ”know itself” - its components must
also possess a system identity
• An autonomic computing system must
configure and reconfigure itself under
varying and unpredictable conditions
• An autonomic computing system never
settles for the status quo - it always looks
for ways to optimize its workings
• An autonomic computing system must
perform something akin to healing - it
must be able to recover from routine and
extraordinary events that might cause
some of its parts to malfunction
05/05/2010 11
12. Eight Principles of Autonomic
Computing (Cont.)
• An autonomic computing system must
detect, identify and protect itself against
various types of attacks to maintain
overall system security and integrity
• An autonomic computing system must
know its environment and the context
surrounding its activity, and act
accordingly
• An autonomic computing system cannot
exist in a hermetic environment
• An autonomic computing system will
anticipate the optimized resources
needed while keeping its complexity
hidden
05/05/2010 12
13. The Benefits
• Short-Term IT Related Benefits
• Simplified user experience through a more
responsive, real-time system.
• Cost-savings – scale to use.
• Scaled power, storage and costs that optimize
usage across both hardware and software.
• Full use of idle processing power, including
home PC's, through networked systems.
• Natural language queries allow deeper and
more accurate returns.
• Seamless access to multiple file types. Open
standards will allow users to pull data from all
potential sources by re-formatting on the fly.
• Stability. High availability. High security
system. Fewer system or network errors due
05/05/2010
to self-healing. 13
14. The Benefits (Cont.)
• Long-Term, Higher Order Benefits
• Realize the vision of enablement by shifting
available resources to higher-order business.
• Embedding autonomic capabilities in client or
access devices, servers, storage systems,
middle-ware and network itself.
• Constructing autonomic federated systems.
• Achieving end-to-end service level
management.
• Collaboration and global problem-solving.
• Massive simulation – weather, medical –
complex calculations like protein folding.
05/05/2010 14
15. Research Projects
• Berkeley University of California:
Recovery-Oriented Computing
• Joint Berkeley/Stanford project.
• Investigating novel techniques for building
highly-dependable Internet services.
• Emphasizes recovery from failures rather than
failure-avoidance.
• Carnegie Mellon University: Self-Securing
Storage & Devices
• Enabling the storage device to safeguard data
even when the client OS is compromised.
• Server-embedded security that cannot be
disabled by any software (event the OS).
• Self-securing storage server actively looks for
suspicious behaviour.
05/05/2010 15
16. Research Projects (Cont.)
• Georgia Institute of Technology: Qfabric
• Closely integrating applications and resource
managers in the Quality of Service
management.
• Achieved by tying applications and resource
managers through the same event-based
control path.
• Application and resource managers can
interact freely to ensure optimal resource
scheduling and adaptations.
• NASA: Autonomous Nanotechnology
Swarm (ANTS)
• 1,000 pico-class spacecraft.
• Each spacecraft caries only one instrument.
• Swarm will be self-protecting, self-healing,
05/05/2010 self-configuring and self-optimizing. 16
17. Summary
• Inspired by biology.
• Evolved as a discipline to create software
systems and applications that self-
manage.
• Main purpose is to overcome the
complexities and inability to maintain
current and emerging systems effectively.
• IT industry, software engineering and
development must change the current
focus and the process for developing
autonomic systems.
• Still in the early research-only phases,
with hindsight of 'real' projects forming in
05/05/2010
the near future. 17
18. Bibliography
• S. Ahmed, S.I. Ahamed, M. Sharmin, and M.M. Haque,
"Self-healing for autonomic pervasive computing,"
Proceedings of the 2007 ACM symposium on Applied
computing - SAC '07, 2007, p. 110.
• J. Cheng, W. Cheng, and R. Nagpal, "Robust and self-
repairing formation control for swarms of mobile agents,"
Proceedings of the National Conference on Artificial
Intelligence, Menlo Park, CA; Cambridge, MA; London;
AAAI Press; MIT Press; 1999, 2005, p. 59.
• S. Dobson, R. Sterritt, P. Nixon, and M. Hinchey,
"Fulfilling the Vision of Autonomic Computing," IEEE
Computer, vol. 43, 2010, p. 35–41.
• E. Mainsah, "Autonomic computing: the next era of
computing," Electronics and Communication
Engineering, 2002, pp. 8-9.
• B. Melcher and B. Mitchell, "Towards an autonomic
framework: Self-configuring network services and
developing autonomic applications," Intel Technology
05/05/2010 Journal, vol. 8, 2004, p. 279–290. 18
19. Bibliography (Cont.)
• A. Garcia, T. Batista, A. Rashid, and C. Sant'Anna,
"Autonomic computing: emerging trends and open
problems," SIGSOFT Softw Eng Notes, vol. 30, 2005,
pp. 1-7.
• P. Horn, "Autonomic Computing: IBM's Perspective on
the State of Information Technology," Computing
Systems, 2002.
• M.C. Huebscher and J.A. McCann, "A survey of
autonomic computing—degrees, models, and
applications," ACM Computing Surveys (CSUR), vol. 40,
2008.
• IBM, "White Paper: An architectural blueprint for
autonomic computing," white paper, 2005.
• J. Kephart, "Research challenges of autonomic
computing," Proceedings. 27th International Conference
on Software Engineering, 2005. ICSE 2005., 2005, pp.
15-22.
• J. Kephart and D. Chess, "The vision of autonomic
05/05/2010 computing," Computer, 2003, pp. 41-50. 19