کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6874935 1441464 2018 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Detection of transmissible service failure in distributed service-based systems
ترجمه فارسی عنوان
تشخیص شکست خدمات قابل انتقال در سیستم های خدمات توزیع شده توزیع شده
کلمات کلیدی
شکست خدمات ارسالی، نظارت بر خدمات، توزیع خدمات مبتنی بر سیستم، سیستم های چندگانه، چند اجاره،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
چکیده انگلیسی
Detection of service failure, also known as service monitoring, is an important research problem in distributed service-based systems (SBSs). Failure of services is a transmissible threat in distributed SBSs, because services in distributed SBSs may have dependent relationships among them and thus the failure of one service may cause the failure of other services. Therefore, such transmissible service failure has to be detected in a timely manner whereas the corresponding resource consumption should be as little as possible. Most of the existing service monitoring approaches are centralised which suffer the potential of single point of failure and are not suitable in large scale distributed SBSs. Moreover, these centralised approaches are designed only in single-tenant SBSs. Nowadays, the scale of distributed SBSs is extremely large, i.e., including a large number of services and clients. Thus, it is essential for monitoring approaches to work well in large scale distributed SBSs and support multi-tenancy. Towards this end, in this paper, a novel agent-based decentralised service monitoring approach is developed in distributed SBSs. Compared to the centralised approaches, the proposed decentralised approach can avoid the single point of failure and can balance the computation over the monitoring agents. Also, unlike existing approaches which consider only single tenancy, the proposed approach takes multi-tenancy into account in distributed SBSs. Experimental results demonstrate that the proposed approach can respond as quickly as centralised approaches with much less computation overhead.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Parallel and Distributed Computing - Volume 119, September 2018, Pages 36-49
نویسندگان
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