A SLA-based method for big-data transfers with multi-criteria optimization constraints for IaaS

Nita, Mihaela-Catalina; Chilipirea, Cristian; Dobre, Ciprian; Pop, Florin

doi:10.1109/roedunet.2013.6511740

Cited by 13 publications

(10 citation statements)

References 4 publications

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“…Nita et al, [33] have addressed the tricky of Big Data transfer towards the needed cloud resources by virtual machine migration inside cloud infrastructure. The transportation of Big Data as a multi-criteria optimization problem to find the optimized cost of cloud resource replacement is formalized.…”

Section: Cloud Layered-basedmentioning

confidence: 99%

A Survey on SLA Management for Cloud Computing and Cloud-Hosted Big Data Analytic Applications

Sahal¹,

Khafagy²,

Omara³

2016

IJDTA

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Section: Cloud Layered-basedmentioning

confidence: 99%

A Survey on SLA Management for Cloud Computing and Cloud-Hosted Big Data Analytic Applications

Sahal¹,

Khafagy²,

Omara³

2016

IJDTA

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“…Locations of data generation and of their usage could be at distance needing transportation of data at optimised cost. The work in [2] shapes it as a multi-criteria optimisation problem for data transfer in a cloud from data origin to place where they are needed. It proposes a scheduling policy and based on it two greedy algorithms are proposed for data transfer.…”

Section: Negotiation: a Distributed Processmentioning

confidence: 99%

Big Data Service Agreement

Mohanty

Vaddi

2015

Studies in Big Data

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World today having several services on Web generates high volume of data around, so much so that one cannot just afford to ignore. These data volumes together usually referred as big data, though look heterogeneous and unrelated at a glance; still, big data carry striking relations among them implicitly as well as explicitly, so that many users across the world may get interested of data patterns being generated at a far end of the world. Thus, there is a need to deliver big data available on cyberspace to users as per their needs. This brings in a notion of big data service. For such service, we here propose a cyber infrastructure that takes user's data request and finds an appropriate data service provider to deliver data. We also propose an approach for SLA: service level agreement specification. SLA for a service is derived from SLAs of data consumer and provider on negotiation. Matching of consumer's SLA to that of a provider SLA and a process of negotiation between these two are illustrated.

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“…The simulator, written in Java, can run all tests being proposed in [12,13,17]. It does not only offer a way to simulate OMNs (although this is now its main purpose) but as shown in [17], it can simulate any type of network and can even simulate scheduling of message transfers.…”

Section: The Ccpac Simulatormentioning

confidence: 99%

“…It does not only offer a way to simulate OMNs (although this is now its main purpose) but as shown in [17], it can simulate any type of network and can even simulate scheduling of message transfers. And, unlike similar simulators (e.g., ONE, ns-3, etc.…”

Section: The Ccpac Simulatormentioning

confidence: 99%

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A Simulator for Analysis of Opportunistic Routing Algorithms

Chilipirea

Petre

Dobre

et al. 2015

2015 14th International Symposium on Parallel and Distributed Computing

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When mobile devices are unable to establish direct communication, or when communication should be offloaded to cope with large throughputs, mobile collaboration can be used to facilitate communication through opportunistic networks. These types of networks are formed when mobile devices communicate only using short-range transmission protocols, usually when users are close, can help applications exchange data. Routes are built dynamically, since each mobile device is acting according to the store-carry-and-forward paradigm. Thus, contacts are seen as opportunities to move data towards the destination. In such networks the routing protocol is of vital importance -and today we witness quite a number of routing algorithms that have been proposed to maximize the success rate of message delivery whilst minimizing the communication cost. Such protocols take advantage of the devices' history of contacts, or information about users carrying the mobile devices, to make their forwarding decision. Our contribution in this paper is two-fold: First, we present a new simplified, fast simulator, designed to minimize the work needed to conduct extensive tests for opportunistic routing algorithm on multiple traces; next we present an extensive analysis of several of the most popular routing algorithms through extensive simulations conducted using our simulation platform. We highlight their pros and cons in different scenarios, considering different realworld mobility data traces.

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A SLA-based method for big-data transfers with multi-criteria optimization constraints for IaaS

Cited by 13 publications

References 4 publications

A Survey on SLA Management for Cloud Computing and Cloud-Hosted Big Data Analytic Applications

A Survey on SLA Management for Cloud Computing and Cloud-Hosted Big Data Analytic Applications

Big Data Service Agreement

A Simulator for Analysis of Opportunistic Routing Algorithms

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