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The Knowledge Sharing Competition program was launched as a fun, and slightly competitive, way of sharing the vast amount of knowledge among our certified audience.

Today the Knowledge Sharing Library is host to 500+ articles and videos covering topics from Artificial Intelligence, Data Science, Cloud Computing & Security, Storage platforms and more. We recently crossed 2 million downloads from the KS Library, a true testament to the power of sharing knowledge.

Ready to join the community of published authors? Competitions generally run October – May. Sign Up today.



2019 Knowledge Sharing Winners Announced

The 2019 Knowledge Sharing Winners accept their awards at the ceremony.

L – R: Amr Shaheen, Mikhail Gloukhovtsev, Howard Elias, Trichy Premkumar, Mohamed Sohail, Christina Crowley, Cindy Etherington, Michael Apigian.




2019 Knowledge Sharing Winners and Articles


2019 Competition First Place Winner
Why You Need Multi-cloud and How to Manage IT


Author Interview

Mikhail Gloukhovtsev,
Sr. Solutions Architect
Digital Solutions, Cloud & IoT
Orange Business Services
This Knowledge Sharing article provides an overview of key aspects of multi-cloud computing that will help enable successful multi-cloud implementation. Topics discussed include the emerging multi-cloud concept, benefits of multi-cloud computing, architecture of multi-cloud solutions, implementation of multi-cloud strategy, cloud services brokerage, unified management of multi-cloud services, application and data portability across different clouds, and other aspects of multi-cloud services.

2019 Competition Second Place Winner
Redesign Backup Strategies for Next-Gen Data Centers

Author Interviews - Sohail and Shaheen

Mohamed Sohail,
Senior Solutions Architect
Dell Technologies

Amr Shaheen,
Partner Technology Strategist


George Crump,
Founder, Lead Analyst
Storage Switzerland
This Knowledge sharing article presents a real use case of a modern backup strategy in a next-gen data center, exploring the changes, challenges, and solutions. Multiple scenarios are provided to help design a Business Continuity and Disaster Recovery strategy that leverages robust backup and recovery methodologies with solutions and objectives introduced, shown, and discussed.

2019 Competition Third Place Winner
Redefining Workplace Paradigms through Autonomous Ops

Mohammed Hashim,
Head - Technology Innovation Council
Digital Infrastructure
This Knowledge Sharing article takes an in-depth look at the application of Autonomous Ops primarily leveraging Big Data Mining, Deep Learning and Cross-platform data processing platforms to drive auto-remediation, self-optimization and self-healing. It is also a helpful guide for enterprises adopting AO into mainstream business to increase productivity and enhance business performance while changing the skills required of human personnel.

Best Of Data Protection  

Protecting Oracle VLDB with Data Domain BoostFS

Author Interview

Trichy Premkumar,
Chief Technical Architect, Data Protection Solutions
Dell EMC – Asia Pacific and Japan
This Knowledge Sharing article introduces an efficient architecture to perform Oracle Incremental Merge (OIM) backups with Dell EMC Data Domain BoostFS. The BoostFS-based OIM backups discussed provide a simple, fast and efficient backup for any large Oracle database. The solution can be deployed in private or public cloud using either physical or virtual Data Domain.




2019 Publication Schedule

Title Category Author(s) Thumbnail
Automating Install of Solutions Enabler using Ansible Big Data Ramani Malathy,
IT Infrastructure
Dell Technologies
New Solutions Enabler releases require storage administrators to perform upgrades by transferring the code to the servers using a tool like Winscp and then manually installing or upgrading it on the servers.
A great deal of manpower and time can be saved by using a tool like Ansible. This article describes a fast and efficient way to achieve Solutions Enabler install or upgrade by leveraging the Ansible provisioning tool and automating it.
Machine Learning-based Object Tracking Machine Learning Rajasekhar Nannapaneni,
Sr Principal Engineer,
Solutions Architect
Dell EMC
Several approaches exist for tracking object. In this article, a new machine learning algorithm is developed which aims to achieve higher accuracies for object tracking.
The author discusses how classical machine learning techniques such as PCA, HOG, SVM and Naïve Bayes are used to perform object tracking which do not require as much compute as deep learning does and still perform reasonably well for object tracking.
Unmatched Availability Solution for VxRail Converged Infrastructure
Victor Wu
Senior Solution Expert,
Business Consultation
BoardWare Information System Limited

Samson Tu,
Senior Service Engineer,
Professional Services
BoardWare Information System Limited
This article describes how to plan and build the Active-Active (AA) Infrastructure, Active-Active-Passive (AAP) Infrastructure, and Point-in-time Recovery (PITR) Solution on VxRail Appliance. 
Optimal mechanism of load balancing in multicloud: A JSQLW approach Cloud Shikha Pandey,
Learning Design & Development Dell Technologies | Education Services
Many organizations have begun to adopt a multi-cloud approach to meet business demands and overcome the challenges of public and private cloud. This article focuses on the importance of multi-cloud in today’s technological world. Also presented is JSQLW (Join Shortest Queue with Left Work), an optimal mechanism of resource allocation and load balancing for heterogeneous cloud environments.
Game Theory on Storage Systems Data Science/Storage Abdulkadir Özdamar
Field Service Engineer 2
Dell Technologies
Game theory is widely used in financial aspects to model rivalry between companies and countries. Recently, it has been connected to systems administration issues, i.e. control of power, spectrum allocation, medium access control and routing in a heavy traffic environment within computer science.
This article briefly explores game theory, its theoretical applications to storage systems, and its potential for improving future storage systems and easing a storage administrator’s job.
Open Architectures for IoT Data Monetization Internet of Things  Steve Todd
Dell Technologies Fellow
Dell Technologies
The Internet of Things is driving the rise of a new paradigm: data brokers that allow data producers to sell their IoT data to consumers. This article explores the emergence of data brokers and data exchange platforms, presents open architectures that will enable data producers to package and sell their data, and describes the best approaches for packaging, storing, analyzing, valuing, and selling data.
Moving towards DevOps with Vagrant DevOps Malathy Ramani
Consultant, IT Infrastructure Dell Technologies
Vagrant is a powerful tool that can ease an organization’s transition to DevOps and Infrastructure-as-code solutions. This article discusses the process of setting up a simple Vagrant environment on top of Oracle VirtualBox on a laptop as well as setting up Ansible, a provisioning tool on top of a Vagrant host. 
Saving The Future of Moore’s Law Server/Storage Bruce Yellin This article explores the computing world from the end of World War II and traces the observations of one of the industry’s true visionaries, Gordon Moore, over the last few decades. The central issue is whether Moore’s original predictions still hold and if they do, will they continue for another five, ten or twenty years as technology continues to evolve. The article reviews the engineering know-how that aided his predictions and future technologies that have yet to make it to the market.
Serverless by Design: The Hybrid Cloud Cloud AnthonyDutra
Systems Engineer Dell Technologies

Senior Developer
Thomson Reuters

Varshith Hakkithimmanahalli Anilkumar

Senior Developer
This article captures the importance of serverless technology to the future of IT infrastructure. It provides an overview of serverless technology, along with an examination of the available serverless public cloud technologies, and a description of the skills required to take advantage of it. The authors discuss where and how serverless can be used in existing infrastructures to enable hybrid cloud-like functionalities and touch on the future of how technologies such as artificial intelligence (AI) and Blockchain can be empowered further by serverless.
Human Emotion Recognition using Machine Learning Machine Learning Rajasekhar Nannapaneni Emotion recognition, one of the crucial non-verbal means by which communication occurs, helps identify the mood and state of the person. This article discusses development of a novel machine learning algorithm that uses human facial expressions for emotion recognition and a comparative study is made with existing algorithms.
On Premises Infrastructure for Serverless Computing  Server Chethan Nagaraj and Ravi Sriramulu This article examines how serverless architecture combines Function as a Service (FaaS) and Backend as a Service (BaaS), among other things and the business sectors it caters to. The authors discuss current implementation of the service from Public cloud providers, the issues that arise from it, i.e. vendor lock-in, security, optimization, and drawbacks from the serverless architecture such as start-up latency, testing, deployment, versioning, and migration.
Journey to Multi Cloud Demystified and Simplified Cloud Anuj Sharma and Benedikt Mayer This article provides insight to how enterprises can overcome the myriad challenges they face to realize the full potential of their multi-cloud strategy and transform how they do business. Topics include:
• An overview of multi-cloud and current adoption data
• A framework for moving toward a multi-cloud environment
• Best practices in a multi-cloud environment
• Dell Technologies’ unique multi-cloud advantage
Towards Standardization of Backup Methods Backup Umit Dericioglu This article reviews backup methods and definitions, proposals which might pave way to a possible standardization, and suggestions and new ideas to improve backup services.
Human Fetus Health Prediction using Decision Tree Machine Learning Rajasekhar Nannapaneni Inference achieved from analyzing human unborn baby health cardiotocographic data indicates whether the fetus is normal, suspect with action needed, or pathologic with immediate action needed. It is critical to make this inference quickly as any delay could be a risk to both fetal and mother.
This article details the development of a machine learning-based decision tree algorithm that will classify fetus health into normal, suspect and pathologic based on the given cardiotocographic data.
Flummox around Osmotic Computing with Dell Technologies Edge Computing Shadaab Mohiuddin and Tabraiz Amman This article explores the promise of osmotic computing to provide better services on unreliable computing nodes, i.e. mobiles, smart watches, and other power- and resource-constrained devices – coupled with limited scalability and unreliable network availability options, to interact with services hosted on cloud computing (especially Infrastructure-as-a-service [IaaS]) that support deployment of reliable services across several application domains.