EAI Endorsed Transactions on Cloud Systems

Issue 15, 2019

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

Articles
Information

An Optimal methodology for efficient resource distribution among contending Sims in a single RF subsystem multi-sim UE
Appears in:
cs 19(15): e1

Authors:
Ruchi Kansara, Jitendra Otwani, Niladri Shekhar Paria, Sajal Das

Abstract:
With the evolution of wireless broadband technology and increasing demand of multi-sim User Equipment (UE), new challenges of resource sharing arise where conventional methods of creating small gaps in resource usage pattern of one SIM do not suffice. The advent of Voice over LTE (VoLTE) services …With the evolution of wireless broadband technology and increasing demand of multi-sim User Equipment
(UE), new challenges of resource sharing arise where conventional methods of creating small gaps in resource usage pattern of one SIM do not suffice. The advent of Voice over LTE (VoLTE) services accompanied by the immense mobile broadband demand of the users, require continuous resource availability on both the SIMs even in a single RF subsystem. Dual SIM Dual Active (DSDA) architecture that can meet the above requirements is not popular due to higher associated cost. In this paper, we consider the fundamental problem of resource sharing across SIMs in multi-sim architecture especially Single Receive Dual SIM Dual Standby (SR-DSDS) and Dual Receive Dual SIM Dual Standby (DR-DSDS). We formulate resource sharing as an optimization problem to maximize the ratio of resource allocation fairly for each contending SIM considering several important factors like current buffer occupancy, average time criticality of the buffer content and channel quality of respective SIM. We solve the formulated optimization problem using Karush Kuhn Tucker (KKT) conditions to derive the closed-form expressions for optimal resource allocation. We also compute the number of transitions possible with the derived optimal fair allocation in a practical multi-sim architecture. Additionally, we present the analytical results to depict the efficacy of the algorithm.
more »
RapidNet IP: A synchronized, high throughput, low power wireless networking solution for ESL
Appears in:
cs 19(15): e2

Authors:
Kaveri Banakar, Shruthi Shetty

Abstract:
Electronic shelf labels (ESL) are electronic equivalent of price tags in retail stores, product id labels in large warehouses, and instruction sheets in manufacturing assembly lines. The volume of labels varies up to 1000-12000 in numbers depending on the application. This paper describes novel wir…Electronic shelf labels (ESL) are electronic equivalent of price tags in retail stores, product id labels in large warehouses, and instruction sheets in manufacturing assembly lines. The volume of labels varies up to 1000-12000 in numbers depending on the application. This paper describes novel wireless protocol RapidNet IP and data compression algorithm used to update the ESL tags remotely. RapidNet IP is a secure & synchronized high throughput, low power & long-range
wireless networking protocol. This can update 12000 ESL tags in one hour. Time Synchronized channel hopping (TSCH) method allows for congestion free traffic for larger number of nodes. The proprietary joining method allows the faster network formation. Data compression algorithm developed as a part this protocol compresses ESL tag PNG image from
150kb to 2kb. This facilitates the ability to update more tags in a short period and reduces the nodes wakeup time. This enables the low power wireless network end nodes battery life up to 7 years (with CR2450 x2 (2.9” ESL tag)).
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Random verification Strategy for Microcontroller based Subsystems for faster Convergence
Appears in:
cs 19(15): e3

Authors:
Ruchita Pathak, Vishal Kumar Dewan, Aravind Bhat

Abstract:
A typical microcontroller-based system often includes multiple interfaces with an ability to support clock gating and other low power features. For such a complex subsystem, finding issues in block level interaction, low power flows and architecture requires exhaustive random test framework at sub…A typical microcontroller-based system often includes multiple interfaces with an ability to support clock gating and other low power features. For such a complex subsystem, finding issues in block level interaction, low power flows and architecture requires exhaustive
random test framework at subsystem level along with unit level randomization. There is no standard approach for developing random verification environment for such subsystems, thus resulting in increased time for development and maintenance. Debugging issues
wherein concurrent traffic from different interfaces is active, is challenging and time consuming. In order to support multiple projects with different configurations there is need for scalable and structured approach which would help in achieving quality verification
without affecting time to market. A novel dashboard style architecture proposed in this paper, provides fully scalable solution for subsystem level random verification with improved debug ability and execution efficiency, thus contributing to High Velocity Development Model (HVDM). With this scalable approach for random verification, bring up time for a new IP in a Sub system random verification environment is seen reduced by 60% and time required for achieving tape-in quality coverage is seen reduced by 40%, as compared to the traditional approach. The results published are derived from the improvement seen by implementation of this methodology in a Low Power Sensor Subsystem that was delivered to multiple SoCs, in time with quality.
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Integrated Cloud Cockpit: A viable approach to surveillance and detection of leaks in oil pipelines
Appears in:
cs 19(15): e4

Authors:
Garima Srivastava, Yeshwant More, Jenifer Sam

Abstract:
Building a secure platform to connect distributed products, software and hardware simplifies digitization of businesses. This calls for platforms that can help companies ideate, prototype, validate and develop using cutting edge technologies such as Artificial Intelligence, Internet of Things, Bloc…Building a secure platform to connect distributed products, software and hardware simplifies digitization of businesses. This calls for platforms that can help companies ideate, prototype, validate and develop using cutting edge technologies such as Artificial Intelligence, Internet of Things, Block Chain, Big Data and Analytics. In this paper, we illustrate how such Integrated Cloud Cockpits (ICC) provide a seamless environment with services that facilitate development of next generation smart applications that are scalable, resilient, secure and provide decreased price-performance ratio. We support this research by presenting an empirical study on how intelligent surveillance and predictive maintenance of oil pipelines is made practicable by employing collaborative cloud services. We have leveraged the services provided by Google Cloud Platform to show how existing cloud platforms can suffice the needs of a secure
and fully featured enterprise use case.
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Layout Automation Techniques to Optimize Time-to-Market Factor
Appears in:
cs 19(15): e5

Authors:
G S Aishwarya Meghana, Sheetal Y Kochrekar, Poornima Venkatasubramanian

Abstract:
With the ever growing demand for IPs in the domain of mobiles, 5G, and sensors for wearables and IoT applications, time to market becomes a crucial factor. There is always a need for delivering IPs to the competitive market in very less time without compromising on the quality. This necessitates th…With the ever growing demand for IPs in the domain of mobiles, 5G, and sensors for wearables and IoT applications, time to market becomes a crucial factor. There is always a need for delivering IPs to the competitive market in very less time without compromising on the quality. This necessitates the development of a reliable automation technique that can be easily integrated into the design cycle and Quality assurance flow of an IP. In this paper, we propose a generic automation flow for generating seed layouts for any technology node. The proposed flow reduces manual efforts and improves overall
productivity.
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Deep Learning based MURA Defect Detection
Appears in:
cs 19(15): e6

Authors:
Ramya Bagavath Singh, Gaurav Kumar, Gaurav Sultania, Shashank Shrikant Agashe, Priya Ranjan Sinha, Chulmoo Kang

Abstract:
INTRODUCTION: MURA defects in LED/LCD panels are one of the most challenging defects for Automatic Defect Classification and Localization (ADC) due to their extremely low contrast when compared with the background. Manual detection is subjective, error prone, very tedious and time consuming. Even w…INTRODUCTION: MURA defects in LED/LCD panels are one of the most challenging defects for Automatic Defect Classification and Localization (ADC) due to their extremely low contrast when compared with the background. Manual detection is subjective, error prone, very tedious and time consuming. Even when the type of MURA defects can be ascertained manually, the exact bounding box for defect is hard to determine. Various heuristic based image processing
techniques have been applied giving sub-optimal accuracy over generic datasets.

OBJECTIVES: The primary objective of this paper is to check whether the state of the art DL (Deep Learning) network for general object classification and localization (MSCOCO PASCAL VOC etc.) can be applied successfully for MURA Defect Classification and Localization.

METHODS: In this paper we present a single DL pipeline for classification and localization which for the first time is applied for MURA defects. Naive DL network - Single Shot multi-box Detector (SSD, pre-trained on ImageNet) was not sufficient to give a good F1 score because of the nature of the defect. Accuracy improved a little after applying various DL
specific optimization methods such as loss function optimization, network optimization etc. Utilizing the knowledge from MURA domain for data augmentation, like filtering based on image capture wavelength etc. improved the results significantly.

RESULTS: Using optimization techniques that are from both DL domain as well as specific to MURA domain, we show improvement in the accuracy of the base DL pipeline from ~30% to ~80%. Minimum heuristics were used to define the pipeline so that it can easily adapt to any new MURA dataset. The paper shows the importance of domain specific preprocessing steps for the designed network in case of MURA defects.

CONCLUSION: Using DL, MURA classification and localization had not been tried before. For the first time we demonstrated results for both classification and localization of MURA defects using state-of-the-art DL network with F1~80%. We also conclude that state-of-the-art network for general object detection can be reused with the help of Transfer Learning (TL) concept and fine-tuned with MURA domain specific optimizations mentioned in paper for optimal
performances in MURA domain.
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Novel Method for Increased Power Conservation in Voice over NR (VoNR) devices
Appears in:
cs 19(15): e7

Authors:
Kashmira Kapoor, Dandra Prasad Basavaraj, Shrinath Ramamoorthy, Tushar Vrind

Abstract:
With the introduction of 5G New Radio (NR), telecom operators are planning to integrate network elements of NR in different configurations for a phased and overlaid deployment and coexistence with 4G. Third Generation Partnership Project (3GPP) standardizes the deployment operation mode of the next…With the introduction of 5G New Radio (NR), telecom operators are planning to integrate network elements of NR in different configurations for a phased and overlaid deployment and coexistence with 4G. Third Generation Partnership Project (3GPP) standardizes the deployment operation mode of the next-generation network, viz. working in Stand Alone (SA) NR scenarios and Non-Stand Alone (NSA) NR mode scenarios. As defined in the specification, Option 7 is where UE
connects to 5G Core Network (5GCN) via either 4G enhanced Node B (eNB) cell or 5G next-generation NodeB (gNB) cell. The power consumption for a User Equipment (UE) is dependent on the physical resource allocation strategy in the serving cell. Available procedures of system selection defined in 3GPP are based on measurement of reference signal
power levels and priority criteria as defined in the System Information of the 5G/4G network. In this paper, we have discussed novel protocol and algorithm through which the UE maintains a history of availability of features like Semi-Persistent Scheduling (SPS), Connected Mode Discontinuous Reception (CDRX) and Voice over NR (VoNR) in the serving area of a cell and uses this information later during system reselection evaluation due to mobility. Through our proposed changes, a UE a) gets VoNR service more often and b) conserve more energy when the user activates VoNR
service. We present an analytical model and through simulation show that during VoNR service, power is conserved due to SPS and CDRX on the selected cell.
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

Indexing

Special Issues

Special issue on Top trends in Cloud Computing (Manuscript submission deadline: 2022-01-31; Notification of acceptance: 2022-03-18; Submission of final revised paper: 2022-05-02; Publication of special issue (tentative): 2022-06-30)

Main Guest Editor:…

Main Guest Editor: Dr. Anupama Chadha (Manav Rachna International Institute of Research and Studies, Faridabad, India) Guest Editor: Dr. Sachin Sharma (Manav Rachna International Institute of Research and Studies, Faridabad, India) Guest Editor: Dr. Anupriya Jain (Manav Rachna International Institute of Research and Studies, Faridabad, India) Guest Editor: Kourosh Ahmadi (Auckland Institute of Study, New Zealand) Guest Editor: Munish Sabharwal (Galgotias University,India)

Editors-in-Chief
Cathryn Peoples, The Open University; Ulster University, UK
Guanfeng Liu, Macquarie University, Australia
Area Editors
Vijayakumar Varadarajan (The University of New South Wales, Australia)
Bharat S. Rawal (Pen State University, USA)
Ahmad Karim (Bahauddin Zakariya Un…

Editors-in-Chief
Cathryn Peoples, The Open University; Ulster University, UK
Guanfeng Liu, Macquarie University, Australia
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)
Jean-Philippe Martin-Flatin (Switzerland)
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)
Marios Dikaiakos (University of 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)
Patrick Siarry (University of Paris)
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)
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: 2019-07-16

An Optimal methodology for efficient resource distribution among contending Sims in a single RF subsystem multi-sim UE

RapidNet IP: A synchronized, high throughput, low power wireless networking solution for ESL

Random verification Strategy for Microcontroller based Subsystems for faster Convergence

Integrated Cloud Cockpit: A viable approach to surveillance and detection of leaks in oil pipelines

Layout Automation Techniques to Optimize Time-to-Market Factor

Deep Learning based MURA Defect Detection

Novel Method for Increased Power Conservation in Voice over NR (VoNR) devices

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