docs: add new image and add gill2022ai

source/_static/image/test.md

@@ -1 +1,2 @@
-![alt text](image.png)
+![alt text](image.png)
+![alt text](image-1.png)

source/paper.bib

@@ -303,4 +303,23 @@ @article{liu2021machine
   pages={1--36},
   year={2021},
   publisher={ACM New York, NY, USA}
+}
+
+@article{gill2022ai,
+  title={AI for next generation computing: Emerging trends and future directions},
+  author={Gill, Sukhpal Singh and Xu, Minxian and Ottaviani, Carlo and Patros, Panos and Bahsoon, Rami and Shaghaghi, Arash and Golec, Muhammed and Stankovski, Vlado and Wu, Huaming and Abraham, Ajith and others},
+  journal={Internet of Things},
+  volume={19},
+  pages={100514},
+  year={2022},
+  publisher={Elsevier}
+}
+
+@inproceedings{elmroth2011self,
+  title={Self-management challenges for multi-cloud architectures},
+  author={Elmroth, Erik and Tordsson, Johan and Hern{\'a}ndez, Francisco and Ali-Eldin, Ahmed and Sv{\"a}rd, Petter and Sedaghat, Mina and Li, Wubin},
+  booktitle={Towards a Service-Based Internet: 4th European Conference, ServiceWave 2011, Poznan, Poland, October 26-28, 2011. Proceedings 4},
+  pages={38--49},
+  year={2011},
+  organization={Springer}
 }

source/paper/gill2022ai.rst

@@ -0,0 +1,80 @@
+:title-ref:`gill2022ai`
+===================================
+
+* Publish Year : :cite:year:`gill2022ai`
+* Authors : :cite:authors:`gill2022ai`
+
+
+
+Research Contributions
+----------------------
+By combining AI/ML with cloud, fog, edge, serverless, and quantum computing, we have created the first review of its kind.
+Adding to the previous surveys, this new research gives a new imaginative approach to assessing and identifying the most current
+research challenges
+
+Key Concepts and Terminologies
+------------------------------
+* Autonomic Computing Initiative (ACI) 
+   - The target of the ACI is to develop self-managing systems that can automatically adapt to changes in the environment and requirements of the system without human intervention.
+   - Inspired by human nervous system and human cognition
+   - self-adaptive systems
+   - self-configuration, self-optimisation, self-protection and self-healing :cite:`elmroth2011self`
+   - automatically upgrades missing or obsolete components depending on error messages/alerts generated by a monitoring system
+   - educing resource overload and under-utilisation 
+   - self-protection is an autonomic system’s capacity to defend itself against potential cyber-attacks and intrusions
+   -  ability to discover, evaluate and recover from errors on its own, without the need for human intervention
+
+* cloud, fog, edge, serverless and quantum computing
+   - cloud computing : TODO
+   - fog computing : TODO
+   - edge computing : TODO
+   - serverless computing : TODO
+
+Proposed Methodologies
+----------------------
+.. figure:: /_static/image/image-1.png
+
+    This figure is taken from the paper :cite:`gill2022ai`
+
+* **Self-healing** : The key concept of self-healing is to develop predictive models that can predict the future state of the system and take corrective actions to prevent system failures, rather than simply reacting to them. This approach is also known as fault detection and predictive maintenance.
+
+* **Self-protection** : Continuously monitor suspicious activities to ensure the system runs smoothly.
+
+* **Self-configuration** : Reinstalling missing or obsolete components without human intervention.
+
+* **Self-optimisation** : The system is particularly suitable for data-intensive applications, as it can automatically adjust its resources based on environmental changes.
+
+#. Monitor
+#. Analyse
+#. Plan
+#. Execute
+
+
+Cloud Computing
+^^^^^^^^^^^^^^^
+Open Challenge
+
+#. Integration : Companies need to move their applications to the cloud
+#. Inadequate Data : Data is accessible and clean for AI/ML
+#. Security and Privacy : Prevent data breaches and protect sensitive information from adversaries
+
+Fog Computing
+^^^^^^^^^^^^^
+Supplement of Cloud Computing
+IoT need mininal reaction time
+
+Open Challenge
+
+#. Execution time : Speed up reaction time
+#. Mobility Awareness : Fog computing struggles with mobility (e.g., devices moving from one location to another) because it’s primarily designed for fixed devices.
+#. Resource Schedule : Fog computing is less flexible than cloud computing due to limited resources, making efficient resource scheduling challenging.
+#. Energy Efficiency : 
+#. Security and Privacy :
+
+Conclusions
+-----------
+
+References
+----------
+.. bibliography::
+    :filter: docname in docnames

source/resource/keyterm/key.csv

@@ -1,2 +1,17 @@
 Abbreviation,Term,Definition
-FHE,Fully Homomorphic Encryption,An encryption scheme that allows computation on encrypted data.
+ACI,Autonomic Computing Initiative,Todo.
+AEs,Autonomic Elements,Todo.
+AM,Autonomic Manager,Todo.
+FHE,Fully Homomorphic Encryption,An encryption scheme that allows computation on encrypted data.
+FaaS,Function As A Service,Provide a virtual environment for computer systems that can be dynamically scaled up and down.
+IaaS,Infrastructure As A Service,Todo.
+IoE,Internet Of Everything,Todo.
+MAPE,Monitor Analyse Plan Execute,Todo.
+PaaS,Platform As A Service,Todo.
+QoE,Quality Of Experience,Todo.
+QoS,Quality Of Service,Todo.
+SARSA,State Action Reward State Action,Todo.
+SLOs,Service Level Objectives,Todo.
+SaaS,Software As A Service,Todo.
+V2X,Vehicle To Everything,Todo.
+X,Autonomous Computing,Todo.