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المؤلفBhamare, D.
المؤلفSamaka, M.
المؤلفErbad, A.
المؤلفJain, R.
المؤلفGupta, L.
المؤلفChan, H.A.
تاريخ الإتاحة2021-01-25T06:45:45Z
تاريخ النشر2017
اسم المنشورIEEE International Conference on Communications
المصدرScopus
الرقم المعياري الدولي للكتاب15503607
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/ICC.2017.7996729
معرّف المصادر الموحدhttp://hdl.handle.net/10576/17424
الملخصLately application service providers (ASPs) and Internet service providers (ISPs) are being confronted with the unprecedented challenge of accommodating increasing service and traffic demands from their geographically distributed users. Many ASPs and ISPs, such as Facebook, Netflix, AT&T and others have adopted micro-service architecture to tackle this problem. Instead of building a single, monolithic application, the idea is to split the application into a set of smaller, interconnected services, called micro-services (or simply services). Such services are lightweight and perform distinct tasks independent of each other. Hence, they can be deployed quickly and independently as user demands vary. Nevertheless, scheduling of micro-services is a complex task and is currently under-researched. In this work, we address the problem of scheduling micro-services across multiple clouds, including micro-clouds. We consider different user-level SLAs, such as latency and cost, while scheduling such services. Our aim is to reduce overall turnaround time for the complete end-to-end service in service function chains and reduce the total traffic generated. In this work we present a novel fair weighted affinity-based scheduling heuristic to solve this problem. We also compare the results of proposed solution with standard biased greedy scheduling algorithms presented in the literature and observe significant improvements.
راعي المشروعThis publication was made possible by the NPRP award [NPRP 6-901-2-370] from the Qatar National Research Fund (a member of The Qatar Foundation) and Huawei Technologies. The statements made herein are solely the responsibility of the author[s]. References [1] L. Sorensen and K. E. Skouby, "User Scenarios 2020 - a worldwide wireless future report," WWRF, July 2009.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعfair weighted affinity-based scheduling
greedy scheduling
micro-services
multi-cloud
Service Function Chaining
SFC
virtual machines
العنوانMulti-objective scheduling of micro-services for optimal service function chains
النوعConference Paper


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