@proceedings {Bruneo201562, title = {A framework for the 3-D cloud monitoring based on data stream generation and analysis}, journal = {Proceedings of the 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)}, year = {2015}, note = {cited By 0; Conference of 14th IFIP/IEEE International Symposium on Integrated Network Management, IM 2015 ; Conference Date: 11 May 2015 Through 15 May 2015; Conference Code:113524}, pages = {62-70}, publisher = {IEEE Computer Society}, address = {Ottawa, Canada, 11-15 May 2015}, abstract = {

Cloud monitoring is one important aspect for effective cloud management. Currently, cloud monitoring solutions can be classified into three groups: the ones not considering multiple layers or real time data analysis, the ones considering multiple layers but not real time data analysis, and the ones only considering real time data analysis. However, all these solutions fail to provide frameworks able to combine together monitoring in multiple layers and data stream analysis for detecting situations where multiple management actions are applicable in different layers of the cloud environment. This paper addresses this gap and proposes the Ceiloesper framework. Such a framework extends the OpenStack Ceilometer technology with Esper CEP and enables collection and analysis of information according to the principles defined in the 3-D cloud monitoring model, proposed in a previous work. The main contributions of this paper are: (i) the definition of the concept of Situation of Interest (SoI) leading to multiple management actions; (ii) the Ceiloesper architecture for a monitoring solution combining traditional monitoring elements with CEP; (iii) extensions to the Ceilometer OpenStack technology. We tested the Ceiloesper framework on a scenario based on the Wordpress application and the experimental results show its effectiveness. {\textcopyright} 2015 IEEE.

}, keywords = {Cloud environments, Cloud managements, Cloud monitoring, Data communication systems, Data handling, Data stream, Different layers, Information analysis, Meteorological instruments, monitoring, Multiple layers, Network management, Real time data analysis, Scenario-based}, isbn = {9783901882760}, doi = {10.1109/INM.2015.7140277}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84942574737\&partnerID=40\&md5=9727c6a66767d639f5c5cfd3bd7d96c9}, author = {Dario Bruneo and Francesco Longo and Clarissa Marquezan} } @proceedings {Marquezan201555, title = {3-D cloud monitoring: Enabling effective cloud infrastructure and application management}, journal = {Proceedings of the 10th International Conference on Network and Service Management (CNSM)}, year = {2014}, note = {cited By 0; Conference of 10th International Conference on Network and Service Management, CNSM 2014 ; Conference Date: 17 November 2014 Through 21 November 2014; Conference Code:110192}, pages = {55-63}, publisher = {IEEE Computer Society}, address = {Rio de Janeiro, Brazil, 17-21 November 2014}, abstract = {

A cloud environment is a complex environment composed of many different entities and layers. Each of these cloud entities may be furnished with mechanisms offering various management actions. For any given situation, different management actions may be applicable and often simultaneously. Enforcing isolated management actions or combining contradictory management actions may negatively affect cloud application quality and cloud infrastructure performance. This means that correctly selecting and effectively combining these management actions for a given situation becomes an important challenge in cloud computing. In this paper, we address the problem of identifying situations where more than one management action can be performed. The key contributions of our paper are: (1) a three dimensional (3-D) monitoring model for analyzing cloud monitoring information; (2) the concept and formalization of Context of Interest (CoI) that specifies how to retrieve meaningful information from the 3-D model to support the coordination of management actions between cloud infrastructure and application. We conducted experiments in a real testbed using Openstack and the WordPress Web site application. Our results show that analyzing cloud monitoring information using the 3-D model and the CoI can support a more effective identification of management actions to be taken. {\textcopyright} 2014 IFIP.

}, keywords = {Application management, Cloud applications, Cloud environments, Cloud infrastructures, Complex environments, Complex networks, Formalization of context, Monitoring models, Three dimensional computer graphics, Threedimensional (3-d)}, isbn = {9783901882661}, doi = {10.1109/CNSM.2014.7014141}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84922823116\&partnerID=40\&md5=14afe05eea8a48d4fc7c6c8e57dd6208}, author = {Clarissa Marquezan and Dario Bruneo and Francesco Longo and Florian Wessling and Andreas Metzger and Antonio Puliafito} } @proceedings {Bruneo2014, title = {CloudWave: Where adaptive cloud management meets DevOps}, journal = {Proceedings of the 5th IEEE International Workshop on Performance Evaluation of Communications in Distributed Systems and Web based Service Architectures (PEDISWESA) Co-located with the 19th International Symposium on Computers and Communications (ISCC)}, year = {2014}, note = {cited By 0; Conference of ISCC 2014 Workshop - 5th IEEE International Workshop on Performance Evaluation of Communications in Distributed Systems and Web based Service Architectures, PEDISWESA 2014 ; Conference Date: 23 June 2014 Through 26 June 2014; Conference Code:108095}, publisher = {IEEE Computer Society}, address = {Island of Madeira, Funchal, Portugal, 23-26 June 2014}, abstract = {

The transition to cloud computing offers a large number of benefits, such as lower capital costs and a highly agile environment. Yet, the development of software engineering practices has not kept pace with this change. Moreover, the design and runtime behavior of cloud based services and the underlying cloud infrastructure are largely decoupled from one another.This paper describes the innovative concepts being developed by CloudWave to utilize the principles of DevOps to create an execution analytics cloud infrastructure where, through the use of programmable monitoring and online data abstraction, much more relevant information for the optimization of the ecosystem is obtained. Required optimizations are subsequently negotiated between the applications and the cloud infrastructure to obtain coordinated adaption of the ecosystem. Additionally, the project is developing the technology for a Feedback Driven Development Standard Development Kit which will utilize the data gathered through execution analytics to supply developers with a powerful mechanism to shorten application development cycles. {\textcopyright} 2014 IEEE.

}, keywords = {cloud computing, Cloud managements, Coordinated Adaptation, DevOps}, isbn = {9781479942770}, issn = {15301346}, doi = {10.1109/ISCC.2014.6912638}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84908149098\&partnerID=40\&md5=a0097ef370a848f29a660ea120514a63}, author = {Dario Bruneo and Thomas Fritz and Sharon Keidar-Barner and Philipp Leitner and Francesco Longo and Clarissa Marquezan and Andreas Metzger and Klaus Pohl and Antonio Puliafito and Danny Raz and Andreas Roth and Eliot Salant and Itai Segall and Massimo Villari and Yaron Wolfsthal and Chris Woods} }