1,721,040 research outputs found
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No full textA scalable approach to Grid network monitoring developed in the framework of the DATATAG project
Automated Deployment of a Microservice-based Monitoring Infrastructure
Full text linkWe explore the specification and the automated deployment of a monitoring infrastructure in a container-based distributed system. This result shows that highly customizable monitoring infrastructures can be effectively provided as a service, and that a key step in this process is the definition of an expandable abstract model for them.
So we start defining a simple model of the monitoring infrastructure that provides an interface between the user and the cloud management system. The interface follows the guidelines of Open Cloud Computing Interface (OCCI), the cloud interface standard proposed by the Open Grid Forum. The definition is simple and generic and it is a first step towards the definition of a standard interface for Monitoring Services. It allows the definition of complex, hierarchical monitoring infrastructure by composing multiple instances of two basic components, one for measurement and another for data distribution,.
We illustrate how the monitoring functionalities that are defined through the interface are implemented as microservices embedded in containers. The internals of each microservice reflects the distinction between core functionalities which are bound to the standard, and custom plugin modules.
We describe the engine that automatically deploys a system of microservices that implements the monitoring infrastructure. Special attention is paid to preserve the distinction between core and custom functionalities, and the on demand nature of a cloud service.
A proof of concept demo is available through the Docker hub and consists of two multi-threaded Java appli- cations that implement the two basic components
Improving the Utilization of an Elastic Resource: A Client-side Approach
Full text linkResource management is traditionally addressed by policies implemented inside the resource provider. Here we study the problem with an attitude that is specular but complementary, which consists in designing a distributed client-side access regulation algorithm that improves the utilization of an elastic resource.
The introduction of elastic resources — a feature of the cloud computing paradigm — complicates their management since, when the workload applied on the resource varies (for instance with the number of users) the resource automatically follows such variations with its capacity. But the presence of an extra computational cost related with capacity variations motivates a non linear, lazy response, that penalizes dynamic environments. Hence the interest for an algorithm that shapes the production of service requests on the client side.
To make our investigation more adherent to a practical environment, we introduce a real time requirement: each client must have access to the service at least every π time units. Examples of this requirement, that features a bounded degree of asynchrony, are found, for instance, in network streaming applications: stream chunks must feed the input buffer at the destination.
The algorithm we investigate is based on the random walk of a token. To evaluate the range of applicability of the algorithm, we define an analytic model of its stochastic behavior — described by a non-Markov process — and then we compare its performance with a benchmark algorithm, representative of an effective solution that is often used in practice
A wrapper for the at interface of the esp8266
No full textThis library provides an Arduino/C++ API for ESP8266 based boards. It allows the connection between an Arduino board and an ESP8266 board, using the former for data acquisition/processing/actuation, and the latter as WiFi interface. Splitting the two activities is convenient since communication has a heavy footprint and requires sophisticated algorithms that are offloaded to the specialized ESP device. In addition the ESP8266 is shipped with an open source implementation of the TCP/IP stack, that is accessible through the serial interface
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