Quality of Service Trade-offs between Central Data Centers and Nano Data Centers

Akhbar, Farzaneh; Ovatman, Tolga

doi:10.5220/0005439101130118

Cited by 2 publications

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“…Also, by replacing NaDa with a central data center, there will no anxious about recourse overlapping, cause in most case NaDa connected to end user could satisfy its customer's request or pass it to its nearest neighbour, so we will access pool of resources to guarantee no resource shortage. NaDa has been presented as a working version of distributed data centres in cloud computing in our previous research (Akhbar and Tolga, 2015). It is an appropriate solution for a wide range of IoT applications with large amount of data management.…”

Section: Nano Data Centers In Internet Of Thingsmentioning

confidence: 99%

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Outlook on moving of computing services towards the data sources

Akhbar

Chang

Yao³

et al. 2016

International Journal of Information Management

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Abstract:The Internet of things (IoT) is potentially interconnecting unprecedented amounts of raw data, opening countless possibilities by two main logical layers: become data into information, then turn information into knowledge. The former is about filtering the significance in the appropriate format, while the latter provides emerging categories of the whole domain. This path of the data is a bottom-up flow. In the other hand, the path of the process is a top-down flow, starting at the strategic level of business and scientific institutions. Today, the path of the process treasures a sizeable amount of well-known methods, architectures and technologies: the so called Big Data. On the top, Big Data analytics aims variable association (e-commerce), data mining (predictive behaviour) or clustering (marketing segmentation). Digging the Big Data architecture there are a myriad of enabling technologies for data taking, storage and management. However the strategic aim is to enhance knowledge with the appropriate information, which does need of data, but not vice versa. In the way, the magnitude of upcoming data from the IoT will disrupt the data centres. To cope with the extreme scale is a matter of moving the computing services towards the data sources. This paper explores the possibilities of providing many of the IoT services which are currently hosted in monolithic cloud centres, moving these computing services into nano data centres (NaDa). Particularly, datainformation processes, which usually are performing at sub-problem domains. NaDa distributes computing power over the already present machines of the IP provides, like gateways or wireless routers to overcome latency, storage cost and alleviate transmissions. Large scale questionnaires have been taken for 300 IT professionals to validate the points of view for IoT adoption. Considering IoT is by definition connected to the Internet, NaDa may be used to implement the logical low layer architecture of the services. Obviously, such distributed NaDa send results on a logical high layer in charge of the information-knowledge turn. This layer requires the whole picture of the domain to enable those processes of Big Data analytics on the top.

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Section: Nano Data Centers In Internet Of Thingsmentioning

confidence: 99%

“…Based on our last investigations (Farzaneh and Tolga, 2015), we need to adjust NaDas properties based on our necessities and goals. We could use the saturation points from our previous research for adjusting NaDa on IoT, too, since IoT use could computing infrastructure in same.…”

Section: Nano Data Centers In Internet Of Thingsmentioning

confidence: 99%

Outlook on moving of computing services towards the data sources

Akhbar

Chang

Yao³

et al. 2016

International Journal of Information Management

Self Cite

View full text Add to dashboard Cite

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Distributed behavior model orchestration in cognitive internet of things solution

Darema

Chang

2017

Enterprise Information Systems

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The introduction of pervasive and ubiquitous instrumentation within Internet of Things (IoT) leads to unprecedented real-time visibility (instrumentation), optimization and fault-tolerance of the power grid, traffic, transportation, water, oil & gas, to give some examples. Interconnecting those distinct physical, people, and business worlds through ubiquitous instrumentation, even though still in its embryonic stage, has the potential to create intelligent IoT solutions that are much greener, more efficient, comfortable, and safer. An essential new direction to materialize this potential is to develop comprehensive models of such systems dynamically interacting with the instrumentation in a feedback control loop. We describe here opportunities in applying cognitive computing on interconnected and instrumented worlds (Cognitive Internet of Things-CIoT) and call out the system-of-systems trend among distinct but interdependent worlds, and Dynamic Data-Driven Application System (DDDAS)-based methods for advanced understanding, analysis, and real-time decision support capabilities with the accuracy of full-scale models.

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Quality of Service Trade-offs between Central Data Centers and Nano Data Centers

Cited by 2 publications

References 0 publications

Outlook on moving of computing services towards the data sources

Outlook on moving of computing services towards the data sources

Distributed behavior model orchestration in cognitive internet of things solution

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