EAI Endorsed Transactions on Cloud Systems

Issue 14, 2019

Editor(s)-in-Chief: V. Vijayakumar

Articles
Information

Challenges of Cloud Solutions Adoption in Large Corporations
Appears in:
cs 19(14): e1

Authors:
Aqeel Alsadah, Hussain Alhajjaj

Abstract:
The concept of cloud-provided IT solutions has changed from being an emerging technology to a reality that most large corporations have adopted or are planing to adopt. Accordingly, many companies have already moved some of their applications or a portion of their infrastructure to the cloud. This …The concept of cloud-provided IT solutions has changed from being an emerging technology to a reality that most large corporations have adopted or are planing to adopt. Accordingly, many companies have already moved some of their applications or a portion of their infrastructure to the cloud. This adoption varies between the diﬀerent categories of cloud oﬀerings: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). This paper will discuss the challenges of cloud adoption from the three perspectives of successful organizations: people, process, and technology.
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Hyperparameter optimisation for Capsule Networks
Appears in:
cs 19(14): e2

Authors:
Gagana B, S Natarajan

Abstract:
Convolutional Neural Networks and its contemporary variants have proven to be ruling benchmarks for most image processing tasks but resort to pooling techniques and routing mechanisms that aﬀect classiﬁcation accuracy and lose spatial relationship information between involved data points. Hence, Hi…Convolutional Neural Networks and its contemporary variants have proven to be ruling benchmarks for most image processing tasks but resort to pooling techniques and routing mechanisms that aﬀect classiﬁcation accuracy and lose spatial relationship information between involved data points. Hence, Hinton et al, proposed a layered architecture called Capsule Networks (Capsnets) which outperform traditional systems by replacing pooling techniques with dynamic routing abilities. Capsnets are, thus, en-route to proving themselves as prospective future benchmarks in visual imagery tasks by surpassing existing state-of-theart results on the MNIST dataset. The two novel aspects inspected in this paper are: the enhancement of this performance on CIFAR-10 through regularization and hyperparameter optimization which, henceforth, augment applicability to stochastic numeric healthcare data helping uncover newer challenges of predictive neural networks.
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Business Improvement Approach Based on Sentiment Twitter Analysis: Case Study
Appears in:
cs 19(14): e3

Authors:
Mohebollah Noori, Jamal Maktoubian

Abstract:
Recently, everyday large amount of data continuously is generating from different sources such as social medias, social networks, Internet of things (IoT) devices, online games, healthcare data, and etc. This provide various challenges and opportunities for different businesses and sectors. Apart f…Recently, everyday large amount of data continuously is generating from different sources such as social medias, social networks, Internet of things (IoT) devices, online games, healthcare data, and etc. This provide various challenges and opportunities for different businesses and sectors. Apart from challenges, shortage of storages and processing facilities, lack of management platforms to handle such a great volume of data, security and privacy issues, and to name but a few. On the other hand, analysing these data which is called “Big Data” could provide new insight into better understanding the hidden patterns. Big Data technologies and tools would be the appropriate solution to provide data scalability, availability and solve the problem of variety, volume and velocity (3Vs) of data. Twitter is a microblogging website which has been popular amount people to share their thought and idea between other users. Analysing such a valuable data, we are able to find out people’s opinion about particular issue. Mining customer opinions from their tweets could help to find strengths and weaknesses about a company’s products and services, features, and businesses. There are a number of studies in the respect of twitter sentiment analysis and opinion mining. However, the number of tweets have been used were small, and in term of using such a data in practice, the research are rare. In this paper, we first briefly demonstrate the reason why big data technologies need to be adopted, and then by giving an example, we presented different steps require to collect, store, process and analyse twitter data in large scale using different big data platforms and software.
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Predictive Analytics In Weather Forecasting Using Machine Learning Algorithms
Appears in:
cs 19(14): e4

Authors:
Aastha Sharma, Vijayakumar V

Abstract:
Agriculture is the backbone of every economy. In a country like India, which has ever increasing demand of food due to rising population, advances in agriculture sector are required to meet the needs. To add to it, the present economic conditions and government policies of India are such that it ne…Agriculture is the backbone of every economy. In a country like India, which has ever increasing demand of food due to rising population, advances in agriculture sector are required to meet the needs. To add to it, the present economic conditions and government policies of India are such that it necessitates the adoption of Precision farming or smart farming. It will enable the farmers to maximize their crop yields and minimize the input costs as well as the losses due to reasons like uncertain rainfall, droughts etc. from this model. For Predicting weather forecasting we will use machine
learning Algorithms like Linear Regression, Decision tree.
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Methodology for validating Nest Memory Management Unit
Appears in:
cs 19(14): e5

Authors:
Nandhini Rajaiah, Jayakumar N Sankarannair, Larry S Leitner

Abstract:
The growing demand for performance makes the processor logic design more complex, thereby making post-silicon validation a critical and complex step in processor development life cycle. There are complex units with newer timing and control logic paths which are almost impossible to exercise in regu…The growing demand for performance makes the processor logic design more complex, thereby making post-silicon validation a critical and complex step in processor development life cycle. There are complex units with newer timing and control logic paths which are almost impossible to exercise in regular verification environments. One such unit to cater to newer workloads in recent superscalar processors is the Nest Memory Management Unit (NMMU), a memory
management unit for all I/O devices. This paper presents some of the major challenges in validating Nest MMU. A postsilicon validation framework is proposed to mitigate these challenges. An asynchronous non-blocking accelerator job
submission model is used in this approach to increase the translation traffic from the agent to NMMU. Core MMU translation is used as the reference model to validate nest MMU. The processor core storage exception handlers are leveraged to minimize the validation tool software development effort and to increase the efficiency of validation as well.
This method makes use of an optimized threshold-based checker to detect potential NMMU hardware issues. The proposed methodology has been experimentally evaluated in Power9 NMMU to demonstrate the effectiveness of the method in providing considerable stress to the unit.
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Open RAN Deployment Using Advanced Radio Link Manager Framework to Support Mission Critical Services in 5G
Appears in:
cs 19(14): e6

Authors:
Sree Lekshmi S, Seshaiah Ponnekanti

Abstract:
Next generation networks or 5G will be “network of networks” that can support ultra-reliable and low latency communication, high data rate, huge connectivity and high security. Network transformation stirring towards virtualized Radio Access Network (v-RAN) and intelligent resource management are f…Next generation networks or 5G will be “network of networks” that can support ultra-reliable and low latency communication, high data rate, huge connectivity and high security. Network transformation stirring towards virtualized Radio Access Network (v-RAN) and intelligent resource management are foreseen as key solutions to realise such varied
5G requirements. Effective Radio Resource Management (RRM) is crucial for Mission Critical (MC) services to underpin communication between smartphone, massive machines and tiny sensor devices. The paper explores pioneering research
related to architecture and intelligent RRM that helps Service Providers (SPs) to design reference framework of an advanced Radio Link Manager (RLM) enabled by Machine Learning (ML). One example optimization for commercial network/Long Term Evolution (LTE) and some preliminary results are analysed to understand the reference framework. The paper addresses the general reference architecture framework of advanced Radio Link Manager to support Mission Critical services in 5G. The paper also discusses about the ongoing standardisation activities and open source initiatives in
5G RAN.
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Enhancing eMMC using Multi-Stream technique
Appears in:
cs 19(14): e7

Authors:
Sushma Vishwakarma, Anantha Sharma, Sharath Kumar Kodase

Abstract:
Multi-stream for SSD is a concept where the host writes data with similar expected lifetimes to contiguous blocks of NAND memory. Consequently, this data has higher chances of being invalidated together. During garbage collection (GC), there will be minimal valid pages to copy, resulting in improve…Multi-stream for SSD is a concept where the host writes data with similar expected lifetimes to contiguous blocks of NAND memory. Consequently, this data has higher chances of being invalidated together. During garbage collection (GC), there will be minimal valid pages to copy, resulting in improved endurance and decreased write-amplification factor. Implementing Multi-stream in eMMC devices presents challenges due to lower DRAM, lower computational resource
available. Maintenance of stream related information requires increase in DRAM usage, transfer buffer usage as well as addition computation for GC of stream related memory area. In this paper, we examine implementation of Multi-Stream concept in eMMC despite its low resource constraints. We have experimented with an implementation that supports up to 4 streams which uses additional ~108 bytes of DRAM and ~104 bytes of code section, and improves WAF by ~50% on FIO (File Input/Output) benchmarking setup where lifetimes are simulated by multiple instances of FIO.
more »

Scope

The EAI Endorsed Transactions on Cloud System (ToCS) is an international venue for publishing innovative and cutting edge results on the convergence of next-generation technologies and methodologies reshaping our way of living. The emerging converged platform for growth and innovation is built on f…

Researchers and practitioners involved in cloud systems can publish information on theory, engineering principles, enabling technologies, and practical experiences related to cloud systems.

ToCS will offer an end-to-end view on the challenges and technologies in cloud systems, foster research that addresses the interaction between and across the different technology pillars, and ultimately help shape the future of cloud systems as they transform business and society.

Topics

Topics include, but are not limited to, the following:

Anything as a Service (XaaS), for example: Infrastructure as a service (IaaS), Business process as a service (BPaaS) or Disaster Recovery as a service (DRaaS)
Cloud architecture and foundation services
Big data management and analyt…

Topics include, but are not limited to, the following:

Anything as a Service (XaaS), for example: Infrastructure as a service (IaaS), Business process as a service (BPaaS) or Disaster Recovery as a service (DRaaS)
Cloud architecture and foundation services
Big data management and analytics
Internet of things (IoT) and Mobile Cloud
Virtualization technology
The virtual enterprise, software defined networks (SDN), Network Function virtualization (NFV), software defined Storage, Data virtualization, etc.
Cloud security, privacy, and trust
Workload deployment and migration
Resource management provisioning and load balancing
Energy management in cloud centers
Cloud programming models and tools
Private, Public, Hybrid and Federated clouds
API management, collaboration and integration
Content distribution and management
Service lifecycle management
Service management automation
Cloud computing programming models
Multi-tenancy
Discovery of services and data
Monitoring and Metering
Systems of records and systems of engagement
Business models, pricing, and software licensing
Modeling and Testing very large infrastructures
Standardization, regulation and compliance management

DOAJ
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[EBSCO Essentials](https://essentials.ebsco.com/search/eds…

Editors-in-Chief
Wenjuan Li, Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong SAR, China
Area Editors
Vijayakumar Varadarajan, The University of New South Wales, Australia
Bharat S. Rawal, Pen State University, USA
Ahmad Karim, …

Editors-in-Chief
Wenjuan Li, Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong SAR, China
Area Editors
Vijayakumar Varadarajan, The University of New South Wales, Australia
Bharat S. Rawal, Pen State University, USA
Ahmad Karim, Bahauddin Zakariya University, Pakistan
Antonio Celesti, University of Messina, Italy
Dana Petcu, West University of Timisoara, Timişoara, Romania
Domenico Talia, Università della Calabria, Italy
Florin Pop, Politehnica University of Bucharest, Romania
Gokhale Anu, Illinois State University, USA
K. R. Rao, University of Texas, USA
Lizhe Wang, Chinese Academy of Sciences (CAS), China
Luciano Baresi, Politechnico di Milano, Italy
Manish Kumar, IIT-Allahabad, India
Marcel Kunze, Karlsruhe Institute of Technology (KIT), Germany
Maria Dolores Cano Baños, Universidad Politécnica, Spain
Marios D. Dikaiakos, University of Cyprus, Cyprus
Massimo Villari, University of Messina, Messina, Italy
Mirco Marchetti, University of Modena and Reggio Emilia, Modena, Italy
Mohamamad Shojafar, University Sapienza of Rome, Italy
Nik Bessis, Edge Hill University, UK
Patrick Siarry, University of Paris, France
Siguang Chen, Nanjing University of Posts and Telecommunications, China
Raouf Boutaba, University of Waterloo, Canada
Roman Vitenberg, University of Oslo, Norway
Sri Devi Ravana, University of Malaya, Malaysia
Syed Rizvi, The Pennsylvania State University, USA
Vasilios Andrikopoulos, University of Stuttgart, Germany
Verdiana Grace Masanja, NM-AIST, Tanzania
V. Subramaniyaswamy, SASTRA Deemed University, India
Xiao-Zhi Gao, University of Eastern Finland, Finland
Marco Lucio Scarpa, University of Messina, Italy
Yuvaraja Devajaran, Palo Alto Networks Inc, CA, USA
Jitendra Kumar Verma, Amity University, India

Journal Blurb

EAI Endorsed Transactions on Cloud Systems is an open access, peer-reviewed scholarly journal focused on cloud systems and four technology pillars: mobile computing, cloud services, big data analytics, and social networking. The journal publishes research articles, review articles, commentaries, editorials, technical articles, and short communications with a triannual frequency. Authors are not charged for article submission and processing.

Publisher: EAI
ISSN: 2410-6895
Volume: 5

Published: 2019-03-15

EUDL

Challenges of Cloud Solutions Adoption in Large Corporations

Hyperparameter optimisation for Capsule Networks

Business Improvement Approach Based on Sentiment Twitter Analysis: Case Study

Predictive Analytics In Weather Forecasting Using Machine Learning Algorithms

Methodology for validating Nest Memory Management Unit

Open RAN Deployment Using Advanced Radio Link Manager Framework to Support Mission Critical Services in 5G

Enhancing eMMC using Multi-Stream technique

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