Fuzzy Allocation of Fine-Grained Compute Resources for Grid Data Streaming Applications

2010 ◽  
Vol 2 (4) ◽  
pp. 1-11
Author(s):  
Wen Zhang ◽  
Junwei Cao ◽  
Yisheng Zhong ◽  
Lianchen Liu ◽  
Cheng Wu
Keyword(s):  
Fuzzy Logic Controller ◽  
Virtual Machines ◽  
Feasible Solution ◽  
Data Streaming ◽  
Grid Data ◽  
Processing Efficiency ◽  
Fine Grained ◽  
Streaming Applications ◽  
Model Free ◽  
Essential Parameter

Fine-grained allocation of compute resources, in terms of configurable clock speed of virtual machines, is essential for processing efficiency and resource utilization of data streaming applications. For a data streaming application, its processing speed is expected to approach the allocated bandwidth as much as possible. Automatic control technology is a feasible solution, but the plant model is hard to be derived. In relation to the model free characteristic, a fuzzy logic controller is designed with several simple yet robust rules. Performance of this controller is verified to out-perform classic controllers in response rapidness and less oscillation. An empirical formula on tuning an essential parameter is obtained to achieve better performance.

Fuzzy Allocation of Fine-Grained Compute Resources for Grid Data Streaming Applications

2012 ◽  
pp. 283-294
Author(s):  
Wen Zhang ◽  
Junwei Cao ◽  
Yisheng Zhong ◽  
Lianchen Liu ◽  
Cheng Wu
Keyword(s):  
Fuzzy Logic Controller ◽  
Virtual Machines ◽  
Data Streaming ◽  
Grid Data ◽  
Processing Efficiency ◽  
Plant Model ◽  
Streaming Application ◽  
Fine Grained ◽  
Streaming Applications ◽  
Model Free

Fine-grained allocation of compute resources, in terms of configurable clock speed of virtual machines, is essential for processing efficiency and resource utilization of data streaming applications. For a data streaming application, its processing speed is expected to approach the allocated bandwidth as much as possible. Automatic control technology is a feasible solution, but the plant model is hard to be derived. In relation to the model free characteristic, a fuzzy logic controller is designed with several simple yet robust rules. Performance of this controller is verified to out-perform classic controllers in response rapidness and less oscillation. An empirical formula on tuning an essential parameter is obtained to achieve better performance.

Ananke

2020 ◽  
Vol 14 (3) ◽  
pp. 391-403
Author(s):  
Dimitris Palyvos-Giannas ◽  
Bastian Havers ◽  
Marina Papatriantafilou ◽  
Vincenzo Gulisano
Keyword(s):  
Bipartite Graph ◽  
Online Monitoring ◽  
Cyber Physical Systems ◽  
Parallel Analysis ◽  
Data Streaming ◽  
Physical Systems ◽  
Fine Grained ◽  
Provenance Data ◽  
Source Data

Data streaming enables online monitoring of large and continuous event streams in Cyber-Physical Systems (CPSs). In such scenarios, fine-grained backward provenance tools can connect streaming query results to the source data producing them, allowing analysts to study the dependency/causality of CPS events. While CPS monitoring commonly produces many events, backward provenance does not help prioritize event inspection since it does not specify if an event's provenance could still contribute to future results. To cover this gap, we introduce Ananke , a framework to extend any fine-grained backward provenance tool and deliver a live bipartite graph of fine-grained forward provenance. With Ananke , analysts can prioritize the analysis of provenance data based on whether such data is still potentially being processed by the monitoring queries. We prove our solution is correct, discuss multiple implementations, including one leveraging streaming APIs for parallel analysis, and show Ananke results in small overheads, close to those of existing tools for fine-grained backward provenance.

scholarly journals LISP Optimisation of Mobile Data Streaming in Connected Societies

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
T. Balan ◽  
D. Robu ◽  
F. Sandu
Keyword(s):  
Public Transportation ◽  
Network Architecture ◽  
Virtual Machines ◽  
Transportation Systems ◽  
Urban Environments ◽  
Data Streaming ◽  
Host Mobility ◽  
And Migration ◽  
Public Transportation Systems ◽  
Load Balanced

Mobility mechanisms are key elements of “always connected” smart environments. Since the first mobile IPv4 protocols, the IP mobility solutions have evolved from host mobility to network mobility and migration to IPv6, but there are still use-cases to be covered, especially for redundant multihomed scenarios. Also mobility does not refer only to hosts or individuals, but also to code/applications and to virtual machines. LISP (Locator/Identifier Separation Protocol) can contribute to new solutions for both host mobility and virtual machine mobility (e.g., inside enterprise data centers) by the separation of the identifier and location of a network endpoint. The aim of this paper is to propose a LISP based multihome and load-balanced network architecture for urban environments. Validation is done in an emulated environment for the case of an enterprise with distributed locations, but, furthermore, we extrapolate to other mobile urban scenarios, like the case of providing reliable load-balanced and secured Internet in Public Transportation Systems, with a proposal for an open-source implementation.

TinyDDS

2012 ◽  
pp. 819-846 ◽  
Author(s):  
Pruet Boonma ◽  
Junichi Suzuki
Keyword(s):  
Functional Properties ◽  
Empirical Evaluation ◽  
Access Networks ◽  
Processing Efficiency ◽  
Fine Grained ◽  
Standard Data ◽  
Language Interoperability ◽  
Event Filtering ◽  
Key Issues ◽  
Data Distribution Service

Due to stringent constraints in memory footprint, processing efficiency and power consumption, traditional wireless sensor networks (WSNs) face two key issues: (1) a lack of interoperability with access networks and (2) a lack of flexibility to customize non-functional properties such as event filtering, data aggregation and routing. In order to address these issues, this chapter investigates interoperable publish/subscribe middleware for WSNs. The proposed middleware, called TinyDDS, enables the interoperability between WSNs and access networks by providing programming language interoperability and protocol interoperability based on the standard Data Distribution Service (DDS) specification. Moreover, TinyDDS provides a pluggable framework that allows WSN applications to have fine-grained control over application-level and middleware-level non-functional properties. Simulation and empirical evaluation results demonstrate that TinyDDS is lightweight and efficient on the TinyOS and SunSPOT platforms. The results also show that TinyDDS simplifies the development of publish/subscribe WSN applications.

scholarly journals Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions

2019 ◽  
Vol 33 ◽  
pp. 8025-8033 ◽  
Author(s):  
Hangxin Liu ◽  
Chi Zhang ◽  
Yixin Zhu ◽  
Chenfanfu Jiang ◽  
Song-Chun Zhu
Keyword(s):  
Mirror Neurons ◽  
Haptic Feedback ◽  
Robot Learning ◽  
Learning From Demonstration ◽  
Fine Grained ◽  
Model Free ◽  
Simulation Engine ◽  
State Changes ◽  
Manipulation Task ◽  
Physics Based Simulation

This paper presents a mirroring approach, inspired by the neuroscience discovery of the mirror neurons, to transfer demonstrated manipulation actions to robots. Designed to address the different embodiments between a human (demonstrator) and a robot, this approach extends the classic robot Learning from Demonstration (LfD) in the following aspects:i) It incorporates fine-grained hand forces collected by a tactile glove in demonstration to learn robot’s fine manipulative actions; ii) Through model-free reinforcement learning and grammar induction, the demonstration is represented by a goal-oriented grammar consisting of goal states and the corresponding forces to reach the states, independent of robot embodiments; iii) A physics-based simulation engine is applied to emulate various robot actions and mirrors the actions that are functionally equivalent to the human’s in the sense of causing the same state changes by exerting similar forces. Through this approach, a robot reasons about which forces to exert and what goals to achieve to generate actions (i.e., mirroring), rather than strictly mimicking demonstration (i.e., overimitation). Thus the embodiment difference between a human and a robot is naturally overcome. In the experiment, we demonstrate the proposed approach by teaching a real Baxter robot with a complex manipulation task involving haptic feedback—opening medicine bottles.

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