From d690c9127043cbabede8e9a63f3b3874eae08ec0 Mon Sep 17 00:00:00 2001
From: sguazt <marco.guazzone@gmail.com>
Date: Tue, 1 Mar 2022 12:21:00 +0100
Subject: [PATCH] Updated publications.
---
README.md | 61 +++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 file changed, 61 insertions(+)
diff --git a/README.md b/README.md
index 1749ade..2dfd057 100755
--- a/README.md
+++ b/README.md
@@ -18,6 +18,54 @@ With EasyCloud, a user can:
* gather metrics data from instances and send them into multiple sinks (e.g., save them in plain CSV files or in a [Redis](https://www.redis.io) data store, or publish them to [Apache Kafka](https://kafka.apache.org), or even to push them on third-party monitoring systems like [Prometheus](https://www.prometheus.io))
* create/manage policies in order to prevent faults (i.e., "if the CPU utilization is higher than XX %, then clone it")
+Please cite one of the following paper if you use EasyCloud:
+
+> Cosimo Anglano, Massimo Canonico, and Marco Guazzone.
+> *EasyCloud: Multi-clouds made easy*
+> In: 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), 2021, pp. 526-531.
+> [DOI](https://doi.org/10.1109/COMPSAC51774.2021.00078).
+
+```
+@inproceedings{Anglano-2021-EasyCloud,
+ author = {Cosimo Anglano and Massimo Canonico and Marco Guazzone},
+ title = {{EasyCloud}: Multi-clouds made easy},
+ booktitle={2021 45th IEEE Annual International Computer Software and Applications Conference (COMPSAC)},
+ abstract = {We propose a framework for structuring the description and results of the forensic analysis of actions of investigative interest in digital applications, and for automated reasoning on such actions. A high level of abstraction is suitable for forensic stakeholders that are not ICT experts; other levels are suitable for automating experiments on the devices to establish traces left by actions, and for associating the results of the experiments. Such results are used in a computational logic framework to conclude evidence on the occurrence of actions. The evidence can be presented to stakeholders or used in further automated reasoning, and traced back to data on the device.},
+ keywords = {Automated forensic analysis, Digital forensics, Computational logic},
+ location = {All-Virtual},
+ month = {July},
+ year = {2021},
+ pages = {526--531},
+ publisher = {IEEE},
+ url = {https://doi.org/10.1109/COMPSAC51774.2021.00078},
+ doi = {10.1109/COMPSAC51774.2021.00078},
+}
+```
+
+or:
+
+> Cosimo Anglano, Massimo Canonico, and Marco Guazzone.
+> *EasyCloud: a Rule based Toolkit for Multi-platform Cloud/Edge Service Management*
+> In: 2020 5th International Conference on Fog and Mobile Edge Computing (FMEC), 2020, pp. 188-195.
+> [DOI](https://doi.org/10.1109/FMEC49853.2020.9144821).
+
+```
+@inproceedings{Anglano-2020-EasyCloud,
+ author = {Cosimo Anglano and Massimo Canonico and Marco Guazzone},
+ title = {{EasyCloud}: a Rule based Toolkit for Multi-platform Cloud/Edge Service Management},
+ booktitle={2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)},
+ abstract = {In order to satisfy the demand for collective and collaborative use of the various Cloud/Edge computing platforms available, the Cloud/Edge interoperability is necessary. Unfortunately, due to the specific solutions provided by the major Cloud/Edge providers, right now it is difficult to fully exploit different Clouds/Edges concurrently. In this paper, we aim to fill this gap by proposing EasyCloud, an easy and effective toolkit and user interface able to not only interact with multiple and different Cloud/Edge platforms at the same time but also to provide a rule-based engine where the user can specify what to do in real-time when the workload of the services running on the Clouds/Edges becomes underutilized (e.g., switch-off the service to save money) or overutilized (e.g., switch-on new computational resources to overcome the increased workload). EasyCloud is currently used by researchers, educators, and students with success and its source code is publicly available.},
+ keywords = {Toolkit, Cloud computing, Edge computing, Intercloud, Orchestration},
+ location = {Paris, France},
+ pages = {188-195},
+ month = {April},
+ year = {2020},
+ publisher = {IEEE},
+ url = {https://ieeexplore.ieee.org/document/9144821},
+ doi = {10.1109/FMEC49853.2020.9144821},
+ isbn = {978-1-7281-7216-3},
+}
+```
## Quick start:
@@ -212,6 +260,19 @@ Alessandria and Vercelli, Piedmont, Italy
* Luca Banzato (for the original EasyCloud project)
* Stefano Garione (for the CloudTUI-FTS project)
+
+## Publications
+
+The main publications about EasyCloud are:
+
+1. Cosimo Anglano, Massimo Canonico, and Marco Guazzone. *EasyCloud: Multi-clouds made easy.* In: 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), 2021, pp. 526-531. [DOI](https://doi.org/10.1109/COMPSAC51774.2021.00078).
+2. Cosimo Anglano, Massimo Canonico, and Marco Guazzone. *EasyCloud: a Rule based Toolkit for Multi-platform Cloud/Edge Service Management.* In: 2020 5th International Conference on Fog and Mobile Edge Computing (FMEC), 2020, pp. 188-195. [DOI](https://doi.org/10.1109/FMEC49853.2020.9144821).
+
+Other related publications about EasyCloud include:
+
+1. Cosimo Anglano, Massimo Canonico, and Marco Guazzone. *An educational toolkit for teaching cloud computing.* SIGCOMM Comput. Commun. Rev. 51, 4 (October 2021), 36-46, 2021. [DOI](https://doi.org/10.1145/3503954.3503959).
+2. Cosimo Anglano, Massimo Canonico, and Marco Guazzone. *Teaching Cloud Computing: Motivations, Challenges and Tools.* In: 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2020, pp. 300-306. [DOI](https://doi.org/10.1109/IPDPSW50202.2020.00062).
+
<!--## Papers
EasyCloud and CloudTUI-FTS have been presented and referenced in the following academic papers:
--
GitLab