ACCRS: autonomic based cloud computing resource scaling
| العنوان: | ACCRS: autonomic based cloud computing resource scaling |
|---|---|
| المؤلفون: | Yaser Jararweh, Ziad A. Al-Sharif, Luay Alawneh, Ahmad Al-Dahoud |
| المصدر: | Cluster Computing. 20:2479-2488 |
| بيانات النشر: | Springer Science and Business Media LLC, 2016. |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | Cloud computing security, Computer Networks and Communications, Computer science, business.industry, Distributed computing, 020206 networking & telecommunications, Provisioning, Cloud computing, 02 engineering and technology, Fault detection and isolation, Fault management, Autonomic computing, Utility computing, Cloud testing, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, business, Software, Efficient energy use |
| الوصف: | A cloud computing model gives cloud service providers the ability to retain multiple workloads on a single physical system. However, efficient resource provisioning and possible system fault management in the cloud can be a challenge. Early fault detection can provide room to recover from potential faults before impacting QoS. Current static techniques of fault management in computing systems are not satisfactory enough to safeguard the QoS requested by cloud users. Thus, new smart techniques are needed. This paper presents the ACCRS framework for cloud computing infrastructures to advance system’s utilization level, reduce cost and power consumption and fulfil SLAs. The ACCRS framework employs Autonomic Computing basic components which includes state monitoring, planning, decision making, fault predication, detection, and root cause analysis for recovery actions to improve system’s reliability, availability, and utilization level by scaling resources in response to changes in the cloud system state. |
| تدمد: | 1573-7543 1386-7857 |
| DOI: | 10.1007/s10586-016-0682-6 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::9784e1df14c263c96238316647271fe2 https://doi.org/10.1007/s10586-016-0682-6 |
| Rights: | CLOSED |
| رقم الانضمام: | edsair.doi...........9784e1df14c263c96238316647271fe2 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15737543 13867857 |
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| DOI: | 10.1007/s10586-016-0682-6 |