DDS-enabled Cloud management support for fast task offloading

Corradi, Antonio; Povedano-Molina, Javier; López-Soler, Juan M.

doi:10.1109/iscc.2012.6249270

Cited by 13 publications

(7 citation statements)

References 9 publications

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“…Timeliness, Resilience, Availability Yes CloudClimate [15] Timeliness, Resilience, Availability No CloudCruiser [16] Timeliness, Resilience, Availability No Cloudfloor [17] Timeliness, Resilience, Availability No CloudHarmony [18] Timeliness, Comprehensiveness No CloudSleutch [19] Timeliness No CloudStack ZenPack [20] Timeliness No CloudWatch [21] Elasticity, Timeliness Yes Cloudyn [22] Timeliness, Resilience, Availability No Consul [23] Availability, Scaleability No Dargos [24] Adaptability, Intrusiveness No New Relic [25] Timeliness, Resilience, Availability No Sensu [26] Availability • Because of the complexity of tracking and managing heterogeneous monitored and monitoring resources, we should take into account possible faults of the monitoring system itself.…”

Section: Related Workmentioning

confidence: 99%

Monitoring as-a-service to drive more efficient future system design

Lemoine

Aubonnet

Henrio³

et al. 2017

EAI Endorsed Transactions on Cloud Systems

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In the services world, the expected benefits are the fastest time to market, lower costs, greater consistency in the application, and increased agility. The reuse and sharing properties of software components are useful to address these challenges. However, to achieve this, it is necessary to be able to observe each service and to control the service composition. This article proposes to rethink the company's organisational process of application development and use the power of monitoring to help the application design. The proposed Monitoring as-a-service (MaaS), whose properties are detailed, will be used for the computation of the offered Quality of Service (QoS), for the services calibration during the service creation phase and to inform the QoS Controller during the operational phase. For effective design, the architect will place MaaS at crucial points of its architecture according to its decision-making process. Finally, we present experimental results and a conclusion ends the paper.

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Section: Related Workmentioning

confidence: 99%

Monitoring as-a-service to drive more efficient future system design

Lemoine

Aubonnet

Henrio³

et al. 2017

EAI Endorsed Transactions on Cloud Systems

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“…However, its design currently supports single-tenant environment, and not ready to provide service for multi-tenant monitoring. DARGOS [10] is a decentralized cloud monitoring that uses the data-centric publish-subscribe approach to enable scalable communication between two main components: node monitoring agent (NMA) and cloud monitoring supervisor (CMS). Many other systems also employ agentbased structure [3] [4].…”

Section: Related Workmentioning

confidence: 99%

NetHAM-nano

Pongpaibool

Niruntasukrat

Issariyapat

et al. 2014

Proceedings of the AINTEC 2014 on Asian Internet Engineering Conference - AINTEC '14

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NetHAM-nano is a robust and scalable service-oriented platform for distributed monitoring. Based on cloud architecture, NetHAM-nano supports distributed monitoring on both public and private networks. Our choice of homogeneous software design enables high level of fault tolerance and scalability of this service. It also allows high flexibility of resource management as we can assign functions or monitoring jobs to any nodes with suitable resources. NetHAM-nano leverages a publish-subscribe paradigm to decouple communication among functions. The service can scale up simply by turning on more nodes with the same set of software. The system can automatically manage itself to react to node changes. In this paper, we describe the design, implementation, and evaluation of NetHAM-nano.

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“…Reducing energy consumption in data centers is thus an important criterion to reduce the chances of outages. This issue is particularly important considering an increasing trend towards hosting applications with soft real-time requirements in the cloud [56] [57], which cannot sustain significant service disruptions. For these applications, performance concerns, such as response time and service availability, are vital requirements and hence disruptions in data centers is often not desirable.…”

Section: Motivation and Problem Statementmentioning

confidence: 99%

Cyber-Physical Multi-Core Optimization for Resource and Cache Effects (C2ORES)

Schmidt¹

2014

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Using Government drawings, specifications, or other data included in this document for any purpose other than Government procurement does not in any way obligate the U.S. Government. The fact that the Government formulated or supplied the drawings, specifications, or other data does not license the holder or any other person or corporation; or convey any rights or permission to manufacture, use, or sell any patented invention that may relate to them. This report is the result of contracted fundamental research deemed exempt from public affairs security and policy review in accordance with SAF/AQR memorandum dated 10 Dec 08 and AFRL/CA policy clarification memorandum dated 16 Jan 09. This report is available to the general public, including foreign nationals. Copies may be obtained from the Defense Technical Information Center (DTIC) (http://www.dtic.mil).

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DDS-enabled Cloud management support for fast task offloading

Cited by 13 publications

References 9 publications

Monitoring as-a-service to drive more efficient future system design

Monitoring as-a-service to drive more efficient future system design

NetHAM-nano

Cyber-Physical Multi-Core Optimization for Resource and Cache Effects (C2ORES)

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