Papers from the 12Th Advanced Summer School on Service-Oriented Computing (Summersoc’18)
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Dynamic Deployment of Specialized ESB Instances in the Cloud
Institute of Architecture of Application Systems University of Stuttgart Universitätsstraße 38 D-70569 Stuttgart Master Thesis No. 3671 Dynamic Deployment of Specialized ESB instances in the Cloud Roberto Jiménez Sánchez Course of Study: Infotech (Non-Degree) Examiner: Prof. Dr. Frank Leymann Supervisors: Santiago Gómez Sáez Johannes Wettinger Commenced: May 22, 2014 Completed: November 21, 2014 CR-Classification: C.2.4 ; D.2 Abstract In the last years the interaction among heterogeneous applications within one or among mul- tiple enterprises has considerably increased. This fact has arisen several challenges related to how to enable the interaction among enterprises in an interoperable manner. Towards addressing this problem, the Enterprise Service Bus (ESB) has been proposed as an integration middleware capable of wiring all the components of an enterprise system in a transparent and interoperable manner. Enterprise Service Buses are nowadays used to transparently establish and handle interactions among the components within an application or with consumed exter- nal services. There are several ESB solutions available in the market as a result of continuously developing message-based approaches aiming at enabling interoperability among enterprise applications. However, the configuration of an ESB is typically custom, and complex. More- over, there is little support and guidance for developers related to how to efficiently customize and configure the ESB with respect to their application requirements. Consequently, this fact also increments notably the maintenance and operational costs for enterprises. Our target is mainly to simplify the configuration tasks at the same time as provisioning customized ESB instances to satisfy the application’s functional and non-functional requirements. -
Donald F. Ferguson, Ph.D
Donald F. Ferguson, Ph.D. Seeka TV (www.seekatv.com) 21 Hoyt Street 1201 Marquette Ave S., Suite 200 South Salem, NY 10590 Minneapolis, MN 55403 +1 914-548-5001 +1 914-548-4001 [email protected] [email protected] Education 1989 Ph.D., Computer Science, Columbia University. Thesis – “The Application of Microeconomics to the Design of Resource Allocation and Control Algorithms” 1987 M.Phil., Computer Science, Columbia University. 1985 M.S., Computer Science, Columbia University. 1982 B.A. Com Laude, Computer Science, Columbia University. Professional Experience Seeka TV 2016-Present Co-Founder, VP, Head of Engineering Defining and leading technical strategy, architecture, engineering/development for an interactive video/content streaming startup. The platform targets two scenarios: 1) A web channel for independent film and web series creators; 2) Corporate videos and media delivery for education, marketing, conferences, etc. Seeka TV (www.seeka.tv) is currently delivering over 50 independent, professional web series, and is in pilot phase with several enterprises for corporate education/marketing videos. The solution is completely “serverless” using Amazon Web Services and other cloud technology. Core technologies in use include AWS (Lambda Functions, SQS, SNS, RDS, API Gateway, CloudFront, S3), Neo4J, Stripe, Brightcove, MailChimp, OAuth2, Facebook and Twitter APIs. Columbia University Professor of Professional Practice 2018-Present Adjunct Professor, Dept. of Computer Science 2012-Present Full professor and member of faculty starting 2018. Teaching, research, mentoring and helping align department with industry requirements and practices. Teaching popular (80-100 students) senior/master’s level courses on advanced topics in computer science. Supervising student small team projects. -
Engage: a Deployment Management System
Engage: A Deployment Management System Jeffrey Fischer Rupak Majumdar Shahram Esmaeilsabzali genForma Corp, USA MPI-SWS, Germany MPI-SWS, Germany jeffrey.fi[email protected] [email protected] [email protected] Abstract figurations between individual components and services can cause Many modern applications are built by combining independently the application to become unstable or corrupted. developed packages and services that are distributed over many While there are tools that automate portions of this process for machines with complex inter-dependencies. The assembly, instal- specific packages, e.g., package managers on Linux distributions, lation, and management of such applications is hard, and usually there are few tools that provide end-to-end functionality for the en- performed either manually or by writing customized scripts. We tire software stack, especially for distributed applications running present Engage, a system for configuring, installing, and managing on many nodes (e.g., in a private or public cloud infrastructure). complex application stacks. Engage consists of three components: a In practice, large-scale software stacks are often managed using domain-specific model to describe component metadata and inter- custom script-based tools and manual techniques. This process is component dependencies; a constraint-based algorithm that takes error-prone, as upgrades to individual packages can break existing a partial installation specification and computes a full installation and implicit dependencies in the system. It is also labor-intensive, plan; and a runtime system that co-ordinates the deployment of the since the process must be performed manually by system admin- ff application across multiple machines and manages the deployed istrators, developers, and end-users, and e ort may be duplicated system. -
Automating the Provisioning and Integration of Analytics Tools with Data Resources in Industrial Environments Using Opentosca
Institute of Architecture of Application Systems Automating the Provisioning and Integration of Analytics Tools with Data Resources in Industrial Environments using OpenTOSCA Michael Zimmermann, Michael Falkenthal, Felix W. Baumann, Ulrich Odefey Frank Leymann Institute of Architecture of Application Systems, TWT GmbH Science & Innovation, University of Stuttgart, Stuttgart, Germany Stuttgart, Germany {lastname}@iaas.uni-stuttgart.de {firstname}.{lastname}@twt-gmbh.de : @inproceedings{Zimmermann2017_ProvisioningAnalytics, author = {Michael Zimmermann and Felix W. Baumann and Michael Falkenthal and Frank Leymann and Ulrich Odefey}, title = {Automating the Provisioning and Integration of Analytics Tools with Data Resources in Industrial Environments using OpenTOSCA}, booktitle = {Proceedings of the 2017 IEEE 21st International Enterprise Distributed Object Computing Conference Workshops and Demonstrations (EDOCW 2017)}, year = {2017}, pages = {3--7}, doi = {10.1109/EDOCW.2017.10}, publisher = {IEEE Computer Society} } © 2017 IEEE Computer Society. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. Automating the Provisioning and Integration of Analytics Tools with Data Resources in Industrial Environments using OpenTOSCA Michael Zimmermann, Felix W. Baumann, Ulrich Odefey Michael Falkenthal, Frank Leymann TWT GmbH Science & Innovation Institute of Architecture of Application Systems 70565 Stuttgart, Germany University of Stuttgart Email: {firstname}.{lastname}@twt-gmbh.de 70569 Stuttgart, Germany Email: {lastname}@iaas.uni-stuttgart.de Abstract—The fourth industrial revolution is driven by the in- customers, or equipment. Thus, access to this data has to be tegration and analysis of a vast amount of diverse data. -
Management Framework for Amazon EC2
Institute of Architecture of Application Systems University of Stuttgart Universitätsstraße 38 D–70569 Stuttgart Diplomarbeit Nr. 2841 Management Framework for Amazon EC2 Frank Bitzer Course of Study: Software Engineering Examiner: Prof. Dr. Frank Leymann Supervisor: Dipl.-Inf. Ralph Mietzner Dipl.-Inf. Daniel Wutke Commenced: May 29, 2008 Completed: November 28, 2008 CR-Classification: C.2.4, D.2.11, K.1 Contents 1 Introduction 7 1.1 Motivation........................................8 1.2 Outline.........................................9 1.3 Definitions........................................ 10 1.4 Related Work....................................... 11 2 Fundamentals 13 2.1 Cloud Computing and its Subtopics.......................... 13 2.1.1 Software as a Service.............................. 15 2.1.2 Infrastructure as a Service........................... 15 2.1.3 Platform as a Service.............................. 16 2.2 Amazon EC2...................................... 16 2.3 Tooling.......................................... 17 2.3.1 Amazon EC2 Web Service Interface...................... 18 2.3.2 Amazon EC2 Command-Line Tools...................... 19 2.3.3 Amazon EC2 AMI Tools............................ 20 2.3.4 Typica...................................... 20 2.3.5 ElasticFox.................................... 21 2.3.6 Rightscale.................................... 22 2.4 Examples of Use.................................... 23 3 Enhanced Concepts 25 3.1 Controlling Instances.................................. 25 3.1.1 Architecture.................................. -
IBM Research Report Proceedings of the 11Th Advanced Summer School on Service Oriented Computing Johanna Barzen1, Rania Khalaf2, Frank Leymann1, Bernhard Mitschang1, Editors
RC25670 (WAT1710-015) October 9, 2017 Computer Science IBM Research Report Proceedings of the 11th Advanced Summer School on Service Oriented Computing Johanna Barzen1, Rania Khalaf2, Frank Leymann1, Bernhard Mitschang1, Editors 1University of Stuttgart Germany 2IBM Research Division One Rogers Street Cambridge, MA 02142-1203 USA Research Division Almaden – Austin – Beijing – Brazil – Cambridge – Dublin – Haifa – India – Kenya – Melbourne – T.J. Watson – Tokyo – Zurich The 11th Advanced Summer School on Service-Oriented Computing June 25 - June 30 2017 Hersonissos, Crete, Greece th The 11 Advanced Summer School on Service Oriented Computing (SummerSOC’17) continued a successful series of summer schools that started in 2007, regularly attracting world-class experts in Service Oriented Computing to present state-of-the-art research during a week-long program organized in several thematic tracks: patterns and IoT, formal methods for SOC, computing in the clouds, data science, e-Health and emerging topics. The advanced summer school is regularly attended by top researchers from academia and industry as well as by PhD and graduate students. During the different sessions at SummerSOC renowned researchers gave invited tutorials on subjects from the themes mentioned above. The afternoon sessions were also dedicated to original research contributions in these areas: these contributions have been submitted in advance as papers that had been peer-reviewed. Accepted papers were presented during SummerSOC and during the poster session. Furthermore, PhD students had been invited based on prior submitted and reviewed extended abstracts to present the progress on their theses and to discuss it during poster sessions. Some of these posters have been invited to be extended as a full paper, which are included in this technical report. -
Fuzzy-Based Microservice Resource Management Platform for Edge Computing in the Internet of Things
sensors Article Fuzzy-Based Microservice Resource Management Platform for Edge Computing in the Internet of Things David Chunhu Li 1 , Chiing-Ting Huang 2, Chia-Wei Tseng 2 and Li-Der Chou 2,* 1 Information Technology and Management Program, Ming Chuan University, Taoyuan City 333321, Taiwan; [email protected] 2 Department of Computer Science and Information Engineering, National Central University, Taoyuan City 320317, Taiwan; [email protected] (C.-T.H.); [email protected] (C.-W.T.) * Correspondence: [email protected]; Tel.: +886-03-4227151 Abstract: Edge computing exhibits the advantages of real-time operation, low latency, and low network cost. It has become a key technology for realizing smart Internet of Things applications. Microservices are being used by an increasing number of edge computing networks because of their sufficiently small code, reduced program complexity, and flexible deployment. However, edge computing has more limited resources than cloud computing, and thus edge computing networks have higher requirements for the overall resource scheduling of running microservices. Accordingly, the resource management of microservice applications in edge computing networks is a crucial issue. In this study, we developed and implemented a microservice resource management platform for edge computing networks. We designed a fuzzy-based microservice computing resource scaling (FMCRS) algorithm that can dynamically control the resource expansion scale of microservices. We proposed and implemented two microservice resource expansion methods based on the resource usage of edge network computing nodes. We conducted the experimental analysis in six scenarios Citation: Li, D.C.; Huang, C.-T.; and the experimental results proved that the designed microservice resource management platform Tseng, C.-W.; Chou, L.-D. -
A Novel Genetic Service Function Deployment Management Platform for Edge Computing
Hindawi Mobile Information Systems Volume 2020, Article ID 8830294, 22 pages https://doi.org/10.1155/2020/8830294 Research Article A Novel Genetic Service Function Deployment Management Platform for Edge Computing David Chunhu Li ,1 Bo-Hun Chen,2 Chia-Wei Tseng,2 and Li-Der Chou 2 1Information Technology Management Program, Ming Chuan University, Taoyuan 333, Taiwan 2Department of Computer Science and Information Engineering, National Central University, Taoyuan 32001, Taiwan Correspondence should be addressed to Li-Der Chou; [email protected] Received 29 May 2020; Revised 27 August 2020; Accepted 21 September 2020; Published 9 October 2020 Academic Editor: Konglin Zhu Copyright © 2020 David Chunhu Li et al. *is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. *e various applications of the Internet of *ings and the Internet of Vehicles impose high requirements on the network environment, such as bandwidth and delay. To meet low-latency requirements, the concept of mobile edge computing has been introduced. *rough virtualisation technology, service providers can rent computation resources from the infrastructure of the network operator, whereas network operators can deploy all kinds of service functions (SFs) to the edge network to reduce network latency. However, how to appropriately deploy SFs to the edge of the network presents a problem. Apart from improving the network efficiency of edge computing service deployment, how to effectively reduce the cost of service deployment is also important to achieve a performance-cost balance. In this paper, we present a novel SF deployment management platform that allows users to dynamically deploy edge computing service applications with the lowest network latency and service deployment costs in edge computing network environments. -
Throughput Improvements for BPEL Engines: Implementation Techniques and Measurements Applied to Swom
Throughput Improvements for BPEL Engines: Implementation Techniques and Measurements Applied to SWoM Von der Fakultät für Informatik, Elektrotechnik und Informationstechnik der Universität Stuttgart zur Erlangung der Würde eines Doktors der Naturwissenschaften (Dr. rer. nat.) genehmigte Abhandlung Vorgelegt von Dieter Roller aus Maichingen Hauptberichter: Prof. Dr. Frank Leymann Mitberichter: Prof. Dr. Bernhard Mitschang Prof. Dr. Cesare Pautasso Tag der mündlichen Prüfung: 26. Juli 2013 Institut für Architektur von Anwendungssystemen 2013 [1] op ti mi za tion: an act, process, or methodology of making something (as· · a design,· · system, or decision) as fully perfect, functional, or effective as possible; specifically : the mathematical procedures (as finding the maximum of a function) involved in this. Merriam-Webster Online Collegiate Dictionary [2] The three most important items in database research are: performance, performance, performance Prof. Dr. Andreas Reuter ZUSAMMENFASSUNG In den vergangenen zwei Jahrzehnten hat sich die Workflow-Technologie zu einem wesentlichen Bestandteil moderner Anwendungssysteme entwickelt, insbesondere für solche Systeme, die auf der service-orientierten Architektur (SOA) beruhen. Mit Hilfe der Workflow-Technologie können Geschäftsprozesse erstellt werden, die schnell an geänderte Umgebungen angepasst werden können. Sie bildet zudem die Basis des zweistufigen Programmierparadigmas. Workflow Management Systeme, die die Workflow-Technologie implemen- tieren, sind eine Kernkomponente der Middleware, deren Performance wesent- lich die Ausführungsgeschwindigkeit der Anwendungen bestimmt, die mit ihnen gebaut werden. Die vorgestelllte Dissertation entwickelt einen Satz von Optimierungstech- niken für ein modernes Workflow Management System, das Robustheit mit Per- formance kombiniert. Dieses Workflow Management System wird Stuttgarter Workflow Maschine (SWoM) genannt, nach dem Ort der Entwicklung. Folgende neuartige Ansätze wurden entwickelt, um das Ziel zu erreichen. -
Quantum Software Development Lifecycle, Published in Quantum Software Engineering, Edited by M
This is a preprint of the following chapter: Benjamin Weder, Johanna Barzen, Frank Leymann, and Daniel Vietz: Quantum Software Development Lifecycle, published in Quantum Software Engineering, edited by M. Serrano, M. Piattini, and R. Perez-Castillo, 2022, Springer Quantum Software Development Lifecycle Benjamin Weder, Johanna Barzen, Frank Leymann, AND Daniel VIETZ Abstract WITH RECENT ADVANCES IN THE DEVELOPMENT OF MORE POWERFUL QUANTUM com- puters, THE RESEARCH AREA OF QUANTUM SOFTWARE ENGINEERING IS EMERging, HAVING THE GOAL TO PROVIDE concepts, PRinciples, AND GUIDELINES TO DEVELOP high-qUALITY QUANTUM applications. In CLASSICAL SOFTWARE ENGINEERing, LIFECYCLES ARE USED TO DOCUMENT THE PROCESS OF designing, implementing, maintaining, ANALyzing, AND ADAPTING SOFTWare. SucH LIFECYCLES PROVIDE A COMMON UNDERSTANDING OF HOW TO DEVELOP AND OPERATE AN application, WHICH IS ESPECIALLY IMPORTANT DUE TO THE INTERDISCIPLINARY NATURE OF QUANTUM computing. Since TODAy‘s QUANTUM APPLICATIONS are, IN MOST cases, HYBRid, CONSISTING OF QUANTUM AND CLASSICAL PROGrams, THE LIFECYCLE FOR QUANTUM APPLICATIONS MUST INVOLVE THE DEVELOPMENT OF BOTH KINDS OF PROGrams. HoWEVER, THE EXISTING LIFe- CYCLES ONLY TARGET THE DEVELOPMENT OF QUANTUM OR CLASSICAL PROGRAMS IN isolation. ADDITIONALLY, THE VARIOUS PROGRAMS MUST BE ORCHEStrated, e.g., USING WorkfloWs. Thus, THE DEVELOPMENT OF QUANTUM APPLICATIONS ALSO INCORPORATES THE WorkfloW LIFECYcle. In THIS CHAPTER, WE ANALYZE THE SOFTWARE ARTIFACTS USUALLY COMPRISING A QUANTUM applica- TION AND PRESENT THEIR CORRESPONDING -
2.2.3 Cloud Design Patterns (Microsoft Azure)
Cloud Computing Patterns Identification, Design, and Application Von der Fakultät für Informatik, Elektrotechnik und Informationstechnik der Universität Stuttgart zur Erlangung der Würde eines Doktors der Naturwissenschaften (Dr. rer. nat.) genehmigte Abhandlung Vorgelegt von Christoph Fehling aus Hannover Hauptberichter: Prof. Dr. Dr. h. c. Frank Leymann Mitberichter: Univ.Prof. Dr. Schahram Dustdar Tag der mündlichen Prüfung: 07.10.2015 Institut für Architektur von Anwendungssystemen der Universität Stuttgart 2015 Contents List OF AcrONYMS 9 Zusammenfassung 13 AbstrACT 15 1 INTRODUCTION 17 1.1 Terminology and Conventions . 19 1.1.1 Patterns and Pattern Languages . 19 1.1.2 Cloud Applications and Cloud Providers . 20 1.2 Problem Domain and Contributions . 21 1.2.1 Architectural Baseline of Cloud Computing . 22 1.2.2 Cloud Computing Patterns . 24 1.2.3 Cloud Computing Pattern Language . 29 3 Contents 1.2.4 Design Method for Cloud Applications . 31 1.3 Pattern Engineering Process . 33 1.4 Chapter Summary . 35 2 Related WORK 39 2.1 Guidelines for Pattern Research . 40 2.1.1 Pattern Identification and Authoring . 41 2.1.2 Iterative Pattern Review . 42 2.1.3 Participating in Pattern Conferences . 42 2.2 Other Cloud Computing Patterns . 43 2.2.1 Cloud Computing Patterns of PLoP Conferences 44 2.2.2 Cloud Design Patterns (Amazon Web Services) 45 2.2.3 Cloud Design Patterns (Microsoft Azure) . 46 2.2.4 Cloud Architecture Patterns . 48 2.2.5 CloudPatterns.org . 49 2.3 Chapter Summary . 51 3 IDENTIfiCATION OF Patterns FOR Cloud Computing 53 3.1 Architectural Principles of Cloud Computing . 56 3.1.1 Cloud Computing Properties . -
Unified Management of Applications on Heterogeneous Clouds
Unified Management of Applications on Heterogeneous Clouds PhD Thesis Jose Manuel Carrasco Mora Programa de Doctorado de Tecnolog´ıasInform´aticas Departamento de Lenguajes y Ciencias de la Computaci´on ETS Ingenier´ıaInform´atica Universidad de M´alaga Supervised by Dr. Francisco Javier Dur´anMu~noz Dr. Ernesto Pimentel S´anchez May 2021 AUTOR: José Manuel Carrasco Mora https://orcid.org/0000-0002-2936-2713 EDITA: Publicaciones y Divulgación Científica. Universidad de Málaga Esta obra está bajo una licencia de Creative Commons Reconocimiento-NoComercial- SinObraDerivada 4.0 Internacional: http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode Cualquier parte de esta obra se puede reproducir sin autorización pero con el reconocimiento y atribución de los autores. No se puede hacer uso comercial de la obra y no se puede alterar, transformar o hacer obras derivadas. Esta Tesis Doctoral está depositada en el Repositorio Institucional de la Universidad de Málaga (RIUMA): riuma.uma.es Escuela de Doctorado DECLARACIÓN DE AUTORÍA Y ORIGINALIDAD DE LA TESIS PRESENTADA PARA OBTENER EL TÍTULO DE DOCTOR D./Dña JOSE MANUEL CARRASCO MORA Estudiante del programa de doctorado TECNOLOGÍAS INFORMÁTICAS de la Universidad de Málaga, autor/a de la tesis, presentada para la obtención del título de doctor por la Universidad de Málaga, titulada: UNIFIED MANAGEMENT OF APPLICATIONS ON HETEROGENEOUS CLOUDS Realizada bajo la tutorización de ERNESTO PIMENTEL SÁNCHEZ y dirección de FRANCISCO JAVIER DURÁN MUÑOZ Y ERNESTO PIMENTEL SÁNCHEZ (si tuviera varios directores deberá hacer constar el nombre de todos) DECLARO QUE: La tesis presentada es una obra original que no infringe los derechos de propiedad intelectual ni los derechos de propiedad industrial u otros, conforme al ordenamiento jurídico vigente (Real Decreto Legislativo 1/1996, de 12 de abril, por el que se aprueba el texto refundido de la Ley de Propiedad Intelectual, regularizando, aclarando y armonizando las disposiciones legales vigentes sobre la materia), modificado por la Ley 2/2019, de 1 de marzo.