Cloud Computing and the Lessons from the Past

Mikkilineni, Rao; Sarathy, Vijay

doi:10.1109/wetice.2009.14

Cited by 57 publications

(12 citation statements)

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“…A cloud can be seen as a conceptual layer on the Internet, which turns transparent all available software and hardware resources and services making them accessible through a welldefined interface [27]. The heterogeneity and reusability of cloud components can be integrated to support new and powerful applications leveraging business value at a lower cost [122].…”

Section: Motivationmentioning

confidence: 99%

An adaptable storage slicing algorithm for content delivery networks

Moreira

Azevêdo

Kelner

et al. 2015

2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)

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Section: Motivationmentioning

confidence: 99%

An adaptable storage slicing algorithm for content delivery networks

Moreira

Azevêdo

Kelner

et al. 2015

2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)

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“…Data governance is a large issue for consumers because when they migrate their systems to the CSP's infrastructure they lose control of their own data and they rely solely on the CSP's ability to make the data available and to make it secure in the process. Where the CSP's data centers are physically located can also make a large difference in terms of security and confidentiality as the US Patriot Act grants government and other agencies with virtually limitless powers to access information including that belonging to companies whereas in the EU this type of data would be much more secure [15], it is important consumers take this into account when selecting a cloud service provider. Security is the most important challenge for cloud technology, as CSP's have to protect the consumer's data from theft and ensure the consumer is not exploited.…”

Section: Technical Aspectmentioning

confidence: 99%

Cloud Computing Technologies

Carlin¹,

Curran²

2012

IJ-CLOSER

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This paper outlines the key characteristics that cloud computing technologies possess and illustrates the cloud computing stack containing the three essential services (SaaS, PaaS and IaaS) that have come to define the technology and its delivery model. The underlying virtualization technologies that make cloud computing possible are also identified and explained. The various challenges that face cloud computing technologies today are investigated and discussed. The future of cloud computing technologies along with its various applications and trends are also explored, giving a brief outlook of where and how the technology will progress into the future.

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“…In addition to the cloud computing services described above, new services have been introduced to the market under different names such as Communication as a Service (CaaS), Data as a Service (DaaS), Network as a Service (NaaS) and Identity and Policy Management as a Service (IPaaS) [19]. Presently all these services have been commonly known as XaaS (Anything as a Service) [20].…”

Section: Cloud Computingmentioning

confidence: 99%

Hysteresis-based robust trust computing mechanism for cloud computing

Firdhous

Hassan

Ghazali

2012

TENCON 2012 IEEE Region 10 Conference

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Cloud computing has been the new paradigm in distributed systems where users can access computing resources and pay only for usage similar to other utilities like electricity, water, gas and telephony. Service Level Agreements signed at the beginning between the clients and service providers stipulate conditions of the services including the QoS requirements. Trust can be used to quantify the QoS levels of providers and rank them according to their performances. Hence trust management systems can play an important role in identifying the right service provider who would maintain the QoS at the levels required by the clients. Researchers have proposed several trust computing mechanisms based on different techniques and trust metrics on the literature. Almost all of these mechanisms increment or decrement the trust scores monotonously based on the inputs. This is a major vulnerability that can be exploited by adversaries to force the trust scores towards extreme values. In this paper, the authors propose a novel trust computing mechanism based on hysteresis function which requires extra efforts to force the output from one end to the other. Hysteresis functions are immune to small changes and hence can be used to protect the system from sporadic attacks. The proposed mechanism has been tested using simulations. The test results show that the trust scores computed using the proposed mechanism are more robust and stable in the face of attacks than other mechanisms.

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Cloud Computing and the Lessons from the Past

Cited by 57 publications

References 0 publications

An adaptable storage slicing algorithm for content delivery networks

An adaptable storage slicing algorithm for content delivery networks

Cloud Computing Technologies

Hysteresis-based robust trust computing mechanism for cloud computing

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