Cloud computing: Software as a service

Rumale, Aniruddha S.; Chaudhari, D. N.

doi:10.1109/icecct.2017.8117817

Cited by 10 publications

(7 citation statements)

References 4 publications

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“…e software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS) are mitigated from mobile cloud computing (MCC) infrastructure [21,22]. LSTM contributes the available channel assignment based on the joined traffic awareness prediction and effectively provides feasible MTG selection [23].…”

Section: Related Workmentioning

confidence: 99%

“…SDN controller compares the different predicted loading metrics of each MTG and selects the MTG with minimum C T i,k A new connection is established. (20) End if (21) End while ALGORITHM 1: SDN-based DQN in MTG resource adjustment and MTG selections. Figure 6 depicts the prediction error compared to the actual loading metrics.…”

Section: Experimentation and Numerical Evaluationsmentioning

confidence: 99%

See 1 more Smart Citation

Intelligent Offloading Decision and Resource Allocations Schemes Based on RNN/DQN for Reliability Assurance in Software-Defined Massive Machine-Type Communications

Math

Tam

Kim

et al. 2022

Security and Communication Networks

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The heterogeneous novelty applications present in the 5th generation (5G) era, including machine-type communication (mMTC), enhanced mobile broadband (eMBB) communication, and ultra-reliable low latency communication (URLLC), which required mobile edge computing (MEC) for local computation and services. The next-generation radio networking (NGRN) will rely on new radio (NR) with the millimeter-wavelength (mmWave) technologies that enable ultra-dense connectivities of the deployed heterogeneous mobile terminal gateways (MTG). However, the mission-critical mMTC applications will suffer from inadequate radio resource management and orchestration (MANO), which will diminish end-to-end (E2E) communication reliability in edge areas. This paper proposed optimal MTG selections and resource allocation (RA) based on the complementary between MTG loading prediction based on recurrent neural network-based long short-term memory (RNN-LSTM) and MTG loading adjustment based on the applied deep reinforcement learning (DRL) approaches, respectively. Furthermore, the RNN-LSTM enhances offloading and handover decisions with discrete-time predictions, while the DRL plays an essential role in adjusting the determined MTG during congestion situations. The proposed method contributed to remarkable outcomes in crucial performance metrics over reference approaches regarding computation and communication quality of service (QoS).

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Section: Related Workmentioning

confidence: 99%

Section: Experimentation and Numerical Evaluationsmentioning

confidence: 99%

Intelligent Offloading Decision and Resource Allocations Schemes Based on RNN/DQN for Reliability Assurance in Software-Defined Massive Machine-Type Communications

Math

Tam

Kim

et al. 2022

Security and Communication Networks

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“…Atlas2 is a downloadable package containing a suite of all the necessary tools for analyzing WES and WGS data produced from Roche 454, Illumina, and SOLiD platforms (Puri, Tiwary & Shukla, 2019). It is built using the Software-as-a-Service (SaaS) technology (Rumale & Chaudhari, 2017), which allows it to be deployed using two different cloud scenarios: local cloud and commercial cloud. Atlas2 relies on Genboree Workbench (Riehle et al, 2012) to be deployed in the local cloud.…”

Section: Pipelines For Wgs and Wes Data Processing And Variant Callingmentioning

confidence: 99%

Genomics pipelines to investigate susceptibility in whole genome and exome sequenced data for variant discovery, annotation, prediction and genotyping

Ahmed

Renart

Zeeshan

2021

PeerJ

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Over the last few decades, genomics is leading toward audacious future, and has been changing our views about conducting biomedical research, studying diseases, and understanding diversity in our society across the human species. The whole genome and exome sequencing (WGS/WES) are two of the most popular next-generation sequencing (NGS) methodologies that are currently being used to detect genetic variations of clinical significance. Investigating WGS/WES data for the variant discovery and genotyping is based on the nexus of different data analytic applications. Although several bioinformatics applications have been developed, and many of those are freely available and published. Timely finding and interpreting genetic variants are still challenging tasks among diagnostic laboratories and clinicians. In this study, we are interested in understanding, evaluating, and reporting the current state of solutions available to process the NGS data of variable lengths and types for the identification of variants, alleles, and haplotypes. Residing within the scope, we consulted high quality peer reviewed literature published in last 10 years. We were focused on the standalone and networked bioinformatics applications proposed to efficiently process WGS and WES data, and support downstream analysis for gene-variant discovery, annotation, prediction, and interpretation. We have discussed our findings in this manuscript, which include but not are limited to the set of operations, workflow, data handling, involved tools, technologies and algorithms and limitations of the assessed applications.

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“…It offers, 'anything as a service' model, and is classified accordingly in three major types: software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). Prohibiting inadvertent access to data or CUs's accounts in a cloud is necessary for trusted cloud computing (Mell and Grance, 2011;Rumale and Chaudhari, 2013b).…”

Section: Introductionmentioning

confidence: 99%

IAM with postlogin authentication for service usage authorisation in cloud computing

Rumale¹,

Chaudhari²

2019

IJCC

Self Cite

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To avoid any theft or manipulation of sensitive information like user profile, or to avoid any inadvertent execution of financial transactions, identity and access management of cloud service provider (CSP) need to do postlogin authentication of a user. This can be done using some randomly generated password, different from the login password. Postlogin authentication authorises user the complete access to use sensitive part or service of user's account. It can be done by: 1) sending one time password (OTP) to user over some other safe communication network; 2) throwing some challenging intelligent designs like a game for playing, quest for solving, etc. Postlogin authentication guarantees safety of user's sensitive data and services even after the theft of username and login-password. The paper outlines in brief the generic IAM process with the need of postlogin authentication within the context of cloud computing. Paper proposes variable length OTP, and some intelligent designs for postlogin authentication.

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Cloud computing: Software as a service

Cited by 10 publications

References 4 publications

Intelligent Offloading Decision and Resource Allocations Schemes Based on RNN/DQN for Reliability Assurance in Software-Defined Massive Machine-Type Communications

Intelligent Offloading Decision and Resource Allocations Schemes Based on RNN/DQN for Reliability Assurance in Software-Defined Massive Machine-Type Communications

Genomics pipelines to investigate susceptibility in whole genome and exome sequenced data for variant discovery, annotation, prediction and genotyping

IAM with postlogin authentication for service usage authorisation in cloud computing

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