logo-polimi
Loading...
Degree programme
Programme Structure
Show/Search Programme
Course Details
Save Document
Degree Programme
Degree Programme not available
Faculty
Infrastructures
Quantitative data
International context
Customized Schedule
Your customized time schedule has been disabled
Enable
Search
Search a Professor
Search a Course
Search a Course (system prior D.M. n. 509)
Search Lessons taught in English

Glossary
Semester (Sem)
1First Semester
2Second Semester
AAnnual course
Educational activities
BIdentifying activities
Language
Course completely offered in italian
Course completely offered in english
--Not available
Innovative teaching
The credits shown next to this symbol indicate the part of the course CFUs provided with Innovative teaching.
These CFUs include:
  • Subject taught jointly with companies or organizations
  • Blended Learning & Flipped Classroom
  • Massive Open Online Courses (MOOC)
  • Soft Skills
Course Details
Context
Academic Year 2014/2015
School School of Industrial and Information Engineering
Name (Master of Science degree)(ord. 270) - MI (434) Engineering of Computing Systems
Track T2A - Sistemi e applicazioni dell'Informatica
Programme Year 2

Course Details
ID Code 096878
Course Title VOLUNTEER AND CROWD-BASED APPROACHES IN COMPUTING
Course Type Mono-Disciplinary Course
Credits (CFU / ECTS) 5.0
Semester --
Course Description The outlook on volunteer and crowd-based approaches as a prolific trend for IT innovation is on the rise, as huge amount of (open/big) data, popular social networking and social sharing platforms, and plenty of devices or "things" in the IoT contexts are available. These trends allow identifying actual "crowds" of direct or indirect contributors to targeted or broad initiatives. Finding and providing ways to aggregate and mining "crowd data" as well as to enroll devices while avoiding disruptions to the user experience is the main mission of the course. The course is focused on volunteer and crowd-based approaches for computing systems. In volunteer crowd-based systems it is important to identify both basic mechanisms and policies or strategies for regulating and governing crowd behaviors, in order to mitigate the effects of contribution churning as well as for an effective exploitation of the approach through adequate services and applications. This calls for addressing issues from different perspectives, requiring a trans/multidisciplinary approach. Specifically, the PhD course focuses both on the basic mechanisms, mainly covering infrastructure and architecture issues and aspects, and on policies and applications based on such mechanisms to provide added value services. This way, on one hand the course includes aspects as contribution management, subscription, enrollment, distributed paradigm for resource management, QoS, SLA, multi-platform invitation and execution of crowd tasks, credit reward systems, and on the other hand it deals with resource, task and data management aspects, information gathering, mining algorithms, expertise matching, etc.
Scientific-Disciplinary Sector (SSD)
Educational activities SSD Code SSD Description CFU
B
ING-INF/05
INFORMATION PROCESSING SYSTEMS
5.0

Schedule, add and removeAlphabetical groupProfessorLanguageCourse details
From (included)To (excluded)
--AZZZZDistefano Salvatore--
manifesti v. 3.1.3 / 3.1.3
Area Servizi ICT
20/10/2019