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Software engineering for multi-tenancy computing challenges and implications
2014
Proceedings of the International Workshop on Innovative Software Development Methodologies and Practices - InnoSWDev 2014
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Multiple instances of an application occupy and share resources from a large pool, allowing different users to have their own version of the same application running and coexisting on the same hardware ...
but in isolated virtual spaces. ...
The next layer is GridSim, a toolkit that supports high level software components for modeling multiple Grid infrastructures [8] [9] . ...
doi:10.1145/2666581.2666585
dblp:conf/sigsoft/RuGK14
fatcat:niwmzw7umzdhbktn6lsqludzwe
Cloud computing models and their application in LTE based cellular systems
2013
2013 IEEE International Conference on Communications Workshops (ICC)
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, could also be used to resolve the very high bandwidth requirements on access network, core network equipment and long communication paths between users and servers in the today's cellular networks. ...
As cloud computing emerges as the next novel concept in computer science, it becomes clear that the model applied in large data storage systems used to resolve issues coming forth from an increasing demand ...
Storage Subsystem with support for multiple data stores to balance I/O operations between storage servers, or to define different SLA policies (e.g. backup) and performance features for different VM types ...
doi:10.1109/iccw.2013.6649333
dblp:conf/icc/StaringK13
fatcat:mgrc7hbqprgddcgcnekbcflzhy
Cloud Computing Environment and Security Challenges: A Review
2017
International Journal of Advanced Computer Science and Applications
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Cloud computing exhibits a remarkable potential to offer cost-effective and more flexible services on-demand to the customers over the network. ...
Cloud computing has grown dramatically in the last few years due to the scalability of resources and appear as a fast-growing segment of the IT industry. ...
It will impact on the disk I/O to increases the process of verification, so the time increases of generating a proof. The parameter challenge in a number of blocks has an influence on both the I/O cost ...
doi:10.14569/ijacsa.2017.081025
fatcat:6lup4o3zgrb6zesokksadljr74
Comparing PaaS offerings in light of SaaS development
2013
Computing
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This paper compares, on the basis of a practical case study, three different and representative PaaS platforms with respect to their support for SaaS application development. ...
Software vendors increasingly aim to apply the Software-as-a-Service (SaaS) delivery model instead of the traditional on-premise model. ...
The iMinds CUSTOMSS is a project co-funded by iMinds (Interdisciplinary institute for Technology), a research institute founded by the Flemish Government. ...
doi:10.1007/s00607-013-0346-9
fatcat:n4ruql44ungtbp3ou252x2nnpe
5GCity Architecture & Interfaces Definition (D2.2)
2019
Zenodo
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As it is expected that the architecture can change over time based on findings throughout the project, it illustrates the first version of the 5GCity architecture, as a result of the first iteration. ...
The overall contributions of D2.2 can be summarized as follows: General architecture and new business model scenarios (neutral host). Service layer functional description. ...
Then these objects can't be treated and deployed like other cloud applications, as they may need access to specific I/O interfaces, network devices or HW accelerators, or they may need to be deployed as ...
doi:10.5281/zenodo.2558242
fatcat:c4o2h4an45hbxl42tklowzem3a
Exploring the Impact of Virtualization on the Usability of the Deep Learning Applications
[article]
2021
arXiv
pre-print
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This study reveals a set of interesting and sometimes counter-intuitive findings that can be used as best practices by Cloud solution architects to efficiently deploy DL applications in various systems ...
Accordingly, the goal of this research is to study the impact of these potentially decisive deployment options on the E2E performance, thus, usability of the DL applications. ...
We also provide the following Best Practices to help solution architects efficiently deploy DL applications on Cloud: ...
arXiv:2112.09780v1
fatcat:3iatke5qc5fohk3p7i2uqnebzy
A Comparative Analysis of Big Data Frameworks: An Adoption Perspective
2021
Applied Sciences
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As a result, several execution frameworks emerged for big data processing. ...
Moreover, we present a detailed discussion that can serve as a decision-making guide to select the appropriate framework for an application. ...
Scheduling In a big data processing system, a lot of CPU cycles, network bandwidth, and disk I/O are required. ...
doi:10.3390/app112211033
fatcat:mfh3thwe5ngdnolkhc264rkbdi
A Survey on Cloud Computing Simulation and Modeling
2020
SN Computer Science
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The economical model proposed by this technology is a viable solution for consumers as well as being a profitable one for the provider. ...
Although the models proposed by these simulators are not exhaustive, each one is made to address a specific process. ...
Thus, when a checkpoint operation is executed, a slave host is selected randomly to save the checkpoint which limits I/O congestion. ...
doi:10.1007/s42979-020-00273-1
fatcat:buaqip6emrhyvjia67bwga6iiy
Efficient Deduplication in a Distributed Primary Storage Infrastructure
2016
ACM Transactions on Storage
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The evaluation of an open-source prototype shows that minimal I/O overhead is achievable even when deduplication and intensive storage I/O are executed simultaneously. ...
However, traditional archival and backup deduplication systems impose prohibitive storage overhead for virtual machines hosting latency-sensitive applications. ...
ACKNOWLEDGMENT We thank the DAIS'14 reviewers for their comments on earlier versions of this article. ...
doi:10.1145/2876509
fatcat:rekpetayojdqxh7jwfdetdec7e
Understanding I/O Behavior in Scientific and Data-Intensive Computing (Dagstuhl Seminar 21332)
2021
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the additional tiers for optimal performance of a given I/O workload. ...
Both of these changes represent a significant departure from the decades-long status quo and require investigation from storage researchers and practitioners to understand their impacts on overall I/O ...
Isolating users and applications that negatively influence the storage performance of the shared storage can be improved on. ...
doi:10.4230/dagrep.11.7.16
fatcat:w772bp7twbddzn5ydafya7icui
BigDataStack - D2.6 Conceptual model and Reference architecture - III
2020
Zenodo
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This deliverable is a refinement of the key functionalities of the overall architecture, the interactions between the main building blocks and their components, as they were described in the previous version ...
o Hosts a REST API for retrieving information and state of applications. o Hosts a REST API for triggering operations/adaptations to applications. ...
The foreseen I/O and the structure of the visualization framework in terms of definition of the subcomponents and their interactions are listed in the following bullets. ...
doi:10.5281/zenodo.4004585
fatcat:tiocxddpunerdkdh67qc5hhvzq
Decentralized Prioritization-Based Management Systems for Distributed Computing
2013
2013 IEEE 9th International Conference on e-Science
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In this paper we extend on a state-of-the-art approach to decentralized grid fairshare and propose a generalized model for construction of decentralized prioritization-based management systems. ...
The approach is based on (re)formulation of control problems as prioritization problems, and a proposed framework for computationally efficient decentralized priority calculation. ...
Storage capacity metrics used in policy target trees can here include not only direct quantities such as storage space in gigabytes, but also differentiation of indirect capacities such as I/O and transfer ...
doi:10.1109/escience.2013.44
dblp:conf/eScience/OstbergE13
fatcat:m2jjhmlb2vddlpsc7ixhaoupkq
BigDataStack - D2.5 Conceptual model and Reference architecture - II
2020
Zenodo
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This deliverable is a refinement of the key functionalities of the overall architecture, the interactions between the main building blocks and their components, as they were described in the previous version ...
The foreseen I/O and the structure of the visualization framework in terms of definition of the subcomponents and their interactions are listed in the following bullets. ...
Then Kuryr will make sure that the isolation level desired at the OKD (containers) level is translated and enforced through OpenStack Security Group rules. Operators: Development of operators for easy ...
doi:10.5281/zenodo.4004511
fatcat:igfzkqcsyvbtbklbiv6hm4el4q
BigDataStack - D2.3 Requirements & State of the Art Analysis – III
2020
Zenodo
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In the requirements analysis presented in this document, a top-down approach is taken with respect to the user requirements, which have been collected through the BigDataStack use case providers. ...
This is complemented with a bottom-up approach aiming to identify, collect, and analyse the rest of the stakeholder requirements as well as technical requirements from the BigDataStack technology. ...
Live migration describes a mean to transfer a running VM from one physical host to another host without interrupting the VM execution and transparent to the VM's users. ...
doi:10.5281/zenodo.4004169
fatcat:x3x2ug47sjbxpovtsbf65bzzve
Database-as-a-Service for Big Data: An Overview
2016
International Journal of Advanced Computer Science and Applications
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In this context, Cloud Computing plays a relevant role, as it offers interesting models to deal with Big Data storage, especially the model known as Database as a Service (DBaaS). ...
This flow of data can't be managed using a classical approach and has led to the emergence of a new buzz word: Big Data. ...
It is also optimized for databases that support heavy I/O workloads. ...
doi:10.14569/ijacsa.2016.070124
fatcat:bls7opcqljdwrbvnsfvrlwkime
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