Enabling decentral collaborative innovation processes - a web based real time collaboration platform

The main goal of this paper is to define a collaborative innovation process as well as a supporting tool. It is motivated through the increasing competition on global markets and the resultant propagation of decentralized projects with a high demand of innovative collaboration in global contexts. It bases on a project accomplished by the author group. A detailed literature review and the action design research methodology of the project led to an enhanced process model for decentral collaborative innovation processes and a basic realization of a browser based real time tool to enable these processes. The initial evaluation in a practical distributed setting has shown that the created tool is a useful way to support collaborative innovation processes.Comment: multikonferenz wirtschaftsinformati

Split and Migrate: Resource-Driven Placement and Discovery of Microservices at the Edge

Microservices architectures combine the use of fine-grained and independently-scalable services with lightweight communication protocols, such as REST calls over HTTP. Microservices bring flexibility to the development and deployment of application back-ends in the cloud. Applications such as collaborative editing tools require frequent interactions between the front-end running on users\u27 machines and a back-end formed of multiple microservices. User-perceived latencies depend on their connection to microservices, but also on the interaction patterns between these services and their databases. Placing services at the edge of the network, closer to the users, is necessary to reduce user-perceived latencies. It is however difficult to decide on the placement of complete stateful microservices at one specific core or edge location without trading between a latency reduction for some users and a latency increase for the others. We present how to dynamically deploy microservices on a combination of core and edge resources to systematically reduce user-perceived latencies. Our approach enables the split of stateful microservices, and the placement of the resulting splits on appropriate core and edge sites. Koala, a decentralized and resource-driven service discovery middleware, enables REST calls to reach and use the appropriate split, with only minimal changes to a legacy microservices application. Locality awareness using network coordinates further enables to automatically migrate services split and follow the location of the users. We confirm the effectiveness of our approach with a full prototype and an application to ShareLatex, a microservices-based collaborative editing application

A decentralized framework for cross administrative domain data sharing

Federation of messaging and storage platforms located in remote datacenters is an essential functionality to share data among geographically distributed platforms. When systems are administered by the same owner data replication reduces data access latency bringing data closer to applications and enables fault tolerance to face disaster recovery of an entire location. When storage platforms are administered by different owners data replication across different administrative domains is essential for enterprise application data integration. Contents and services managed by different software platforms need to be integrated to provide richer contents and services. Clients may need to share subsets of data in order to enable collaborative analysis and service integration. Platforms usually include proprietary federation functionalities and specific APIs to let external software and platforms access their internal data. These different techniques may not be applicable to all environments and networks due to security and technological restrictions. Moreover the federation of dispersed nodes under a decentralized administration scheme is still a research issue. This thesis is a contribution along this research direction as it introduces and describes a framework, called \u201cWideGroups\u201d, directed towards the creation and the management of an automatic federation and integration of widely dispersed platform nodes. It is based on groups to exchange messages among distributed applications located in different remote datacenters. Groups are created and managed using client side programmatic configuration without touching servers. WideGroups enables the extension of the software platform services to nodes belonging to different administrative domains in a wide area network environment. It lets different nodes form ad-hoc overlay networks on-the-fly depending on message destinations located in distinct administrative domains. It supports multiple dynamic overlay networks based on message groups, dynamic discovery of nodes and automatic setup of overlay networks among nodes with no server-side configuration. I designed and implemented platform connectors to integrate the framework as the federation module of Message Oriented Middleware and Key Value Store platforms, which are among the most widespread paradigms supporting data sharing in distributed systems

Media Culture 2020: collaborative teaching and blended learning using social media and cloud-based technologies

The Media Culture 2020 project was considered to be a great success by all the partners, academics and especially the students who took part. It is a true example of an intercultural, multidisciplinary, blended learning experience in higher education that achieved it goals of breaking down classroom walls and bridging geographical distance and cultural barriers. The students with different skills, coming from different countries and cultures, interacting with other enlarges the possibilities of creativity, collaboration and quality work. The blend of both synchronous and asynchronous teaching methods fostered an open, blended learning environment, one that extended the traditional boundaries of the classroom in time and space. The interactive and decentralized nature of digital tools enabled staff and students to communicate and strengthen social ties, alongside participation in the production of new knowledge and media content. For students and lecturers, the implementation of social media and cloud platforms offered an innovative solution to both teaching and learning in a collaborative manner. By leveraging the interactive and decentralised capabilities of a range of technologies in an educational context, this model of digital scholarship facilitates an open and dynamic working environment. Blended teaching methods allow for expansive collaboration, whereby information and knowledge can be accessed and disseminated across a number of networked devices

Shocking the Crowd: The Effect of Censorship Shocks on Chinese Wikipedia

Collaborative crowdsourcing has become a popular approach to organizing work across the globe. Being global also means being vulnerable to shocks -- unforeseen events that disrupt crowds -- that originate from any country. In this study, we examine changes in collaborative behavior of editors of Chinese Wikipedia that arise due to the 2005 government censor- ship in mainland China. Using the exogenous variation in the fraction of editors blocked across different articles due to the censorship, we examine the impact of reduction in group size, which we denote as the shock level, on three collaborative behavior measures: volume of activity, centralization, and conflict. We find that activity and conflict drop on articles that face a shock, whereas centralization increases. The impact of a shock on activity increases with shock level, whereas the impact on centralization and conflict is higher for moderate shock levels than for very small or very high shock levels. These findings provide support for threat rigidity theory -- originally introduced in the organizational theory literature -- in the context of large-scale collaborative crowds

D.4.1 – Application scenarii and Design of infrastructure

This report has been written by all members of the consortiumSocioPlug is a research project, funded by French National Agency for Research, which aims to investigate on Social Cloud over Plug Networks, Enabling Symmetric Access to Data and Preserving Privacy. In this project, we will perform both theoretical and practical evaluation of the solutions proposed in the all work packages. Task 4 (Infrastructure and Experimentation) will be structured around use-cases where partners developed previous expertise such as distributed collaborative systems, social web and Smart Building. These well known distributed systems will be revisited to fit federation of plug constraints using results of other tasks. In this deliverable, we present some details of the infrastructure of the federation of plug computers, that will be developed in this project. We plan to provide a demonstrator and deploy on it some application according to the use-cases presented in this deliverable