Multi-Level Elasticity for Wide-Area Data Streaming Systems: A Reinforcement Learning Approach
نویسندگان
چکیده
منابع مشابه
a new approach to credibility premium for zero-inflated poisson models for panel data
هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...
15 صفحه اولReinforcement Learning Approach for Data Migration in Hierarchical Storage Systems
There are several shortcomings in the existing data migration techniques in Hierarchical Storage Systems (HSS). The first and the most important among them is that data migration policies are user defined hence static and reactive. Secondly, data migration at the host side is not yet completely explored. The other major drawbacks are that each storage tier is modelled as an agent; the data migr...
متن کاملReinforcement learning for multi-agent systems
Multi-agent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, etc. Although the individual agents can be programmed in advance, many tasks require that they learn behaviors online. A significant part of the research on multi-agent learning concerns reinforcement learning techniques. This paper gives a survey of multiag...
متن کاملReinforcement Learning Based Wide-Area Decentralized Power System Stabilizers
In this paper, the design of a real-time control framework consisting of wide-area decentralized power system stabilizers (WD-PSSs) for enhancing transient stability and oscillatory stability of power systems is investigated. The design is based on reinforcement learning methods incorporating widearea measurements. The main goal of WD-PSSs is to stabilize a power system after a disturbance lead...
متن کاملReinforcement learning algorithms for DASH video streaming
Dynamic Adaptive Streaming over HTTP (DASH) is a video streaming standard developed in 2011; the servers have several copies of every video at different bitrates, leaving the clients complete freedom to choose the bitrate of each segment and adapt to the available bandwidth. The research on client-side strategies to optimize user Quality of Experience (QoE) is ongoing; one of the most promising...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Algorithms
سال: 2018
ISSN: 1999-4893
DOI: 10.3390/a11090134