کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
424634 685612 2013 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
eScience in the Social Cloud
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
eScience in the Social Cloud
چکیده انگلیسی


• We explore two Social Cloud models designed to support collaborative eScience.
• Social Clouds rely on a collaborative overlay obtained from existing social networks.
• The SoCC supports VM based sharing of computational resources between peers.
• The SoCPR uses social incentives to increase contribution in volunteer computing.
• The prototype and simulations show efficient sharing and increased contribution.

Social networks offer great potential for fostering collaboration between individuals and amongst groups. This potential collaborative environment is not only applicable for recreation, but can also provide considerable value to diverse research communities. For this reason scientists are increasingly utilizing social networking concepts in projects to form groups, share information, publicize their work and communicate with their peers. This article describes two different approaches to supporting eScience, by providing scientific computing and collaboration within what we term the Social Cloud. In our first approach the social network is used as a collaborative overlay, in combination with the ad hoc creation of infrastructure composed of virtual machine clusters built from resources contributed, by the users, to the Social Cloud. Our second approach is based around the principle of volunteer computing, where the Social Cloud provides researchers with a platform to exploit social networks by reaching out to non technical users who would otherwise be unlikely to donate computational time for scientific and other research. In this article we specifically explore the motivations of users to contribute computational time and examine the various ways these motivations can be catered to through the use of incentives in existing social networks.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Future Generation Computer Systems - Volume 29, Issue 8, October 2013, Pages 2143–2156
نویسندگان
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