Applying Self-* Principles in Heterogeneous Cloud Environments

Dragan, Ioan; Fortiş, Teodor-Florin; Iuhasz, Gabriel; Neagul, Marian; Petcu, Dana

doi:10.1007/978-3-319-54645-2_10

Cited by 5 publications

(4 citation statements)

References 34 publications

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“…Autonomicity, self-* properties, and real-time detection are also approaches which are well studied in the literature, [48][49][50][51][52] also with a special focus on resource monitoring. 53,54 Capacity allocation has also been dealt with, 55 although from the perspective of economic savings by choosing the best-suited instances.…”

Section: Related Workmentioning

confidence: 99%

Autonomic rejuvenation of cloud applications as a countermeasure to software anomalies

Sanzo

Avresky²,

Pellegrini

2020

Softw Pract Exp

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Failures in computer systems can be often tracked down to software anomalies of various kinds. In many scenarios, it might be difficult, unfeasible, or unprofitable to carry out extensive debugging activity to spot the cause of anomalies and remove them. In other cases, taking corrective actions may led to undesirable service downtime. In this article, we propose an alternative approach to cope with the problem of software anomalies in cloud-based applications, and we present the design of a distributed autonomic framework that implements our approach. It exploits the elastic capabilities of cloud infrastructures, and relies on machine learning models, proactive rejuvenation techniques, and a new load balancing approach. By putting together all these elements, we show that it is possible to improve both availability and performance of applications deployed to heterogeneous cloud regions and subject to frequent failures. Overall, our study demonstrates the viability of our approach, thus opening the way towards its adoption, and encouraging further studies and practical experiences to evaluate and improve it.

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Section: Related Workmentioning

confidence: 99%

Autonomic rejuvenation of cloud applications as a countermeasure to software anomalies

Sanzo

Avresky²,

Pellegrini

2020

Softw Pract Exp

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“…But lately, some cloud systems are being built with self-* principles Drăgan et al (2017) in mind; as services in the cloud acquire autonomy in what is called autonomic computing, that is, self-managed computing infrastructure, adaptation is not far away and services become adaptive, being able to self-organize and the whole system to self-heal, two agencies that make a cloud system acquire complex adaptive behavior, such as being able to reconfigure connections, spawn new copies or eliminate them, all in an autonomic way without needing to rely on a central authority, using peer to peer protocols such as the gossip protocol (Laredo et al, 2007), which has actually been used for evolutionary algorithms (Laredo et al, 2009) before cloud computing was even created; De Wilde (2007, 2011) talk about digital ecosystems in the context of service-based architectures, referring to distributed systems that evolve via agents mapped to nodes. This is a pioneering approach, which could form the basis of complex cloud systems.…”

Section: Complex Cloud Systemsmentioning

confidence: 99%

Alife in the Clouds: A Short Review of Applications of Artificial Life to Cloud Computing and Back

Merelo¹,

Castillo²,

García-Valdéz³

2018

Front. Robot. AI

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Cloud computing is currently the prevailing mode of designing, creating, and deploying complex applications, and it has implied a paradigm shift in all three areas; even if it taps and extends previous concepts such as service oriented, concurrent, and distributed computing, this shift has to be eventually translated to the algorithmic and conceptual aspects of sciences such as artificial life. In this short paper, we will review how the world of cloud computing has intersected the artificial life field, and how it has been used as an inspiration for new models or the design and implementation of new and powerful algorithms; in the other direction, we will also examine how artificial life concepts such as self-organization have been applied to the field of cloud computing.

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“…• using resources of a distributed computing environment, in which heterogeneity is increasing every year, and interacting with local resource managers (LRMs) located in the nodes of resources [9],…”

Section: Introductionmentioning

confidence: 99%

Integration of Web Processing Services with Workflow-Based Scientific Applications for Solving Environmental Monitoring Problems

Feoktistov¹,

Gorsky²,

Kostromin³

et al. 2021

IJGI

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Nowadays, developing and applying advanced digital technologies for monitoring protected natural territories are critical problems. Collecting, digitalizing, storing, and analyzing spatiotemporal data on various aspects of the life cycle of such territories play a significant role in monitoring. Often, data processing requires the utilization of high-performance computing. To this end, the paper addresses a new approach to automation of implementing resource-intensive computational operations of web processing services in a heterogeneous distributed computing environment. To implement such an operation, we develop a workflow-based scientific application executed under the control of a multi-agent system. Agents represent heterogeneous resources of the environment and distribute the computational load among themselves. Software development is realized in the Orlando Tools framework, which we apply to creating and operating problem-oriented applications. The advantages of the proposed approach are in integrating geographic information services and high-performance computing tools, as well as in increasing computation speedup, balancing computational load, and improving the efficiency of resource use in the heterogeneous distributed computing environment. These advantages are shown in analyzing multidimensional time series.

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Applying Self-* Principles in Heterogeneous Cloud Environments

Cited by 5 publications

References 34 publications

Autonomic rejuvenation of cloud applications as a countermeasure to software anomalies

Autonomic rejuvenation of cloud applications as a countermeasure to software anomalies

Alife in the Clouds: A Short Review of Applications of Artificial Life to Cloud Computing and Back

Integration of Web Processing Services with Workflow-Based Scientific Applications for Solving Environmental Monitoring Problems

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