Mrpro(tm) Records-Effective Records, Analysis and Metrics
- 1. MRPRO™-A Hybrid Multicloud System for Effective Records Gathering and Real Time Analysis By N. Nagaraj Papros Inc 1
- 2. Outline / Agenda ● Discussion of typical energy dataneeds. ● Discussion of data types and platforms. ● Discussion of hybrid cloud versus multicloud. ● Discussion of field deployments, the processes, nuances and the resulting observation. ● Benefits and advantages ● Conclusion ● Questions and Answers 2
- 3. Summary of Some Needs ● Underlying data to be standards based. ● Notifications must flow across multiple clouds while still authenticatable and secure. ● Notifications must provide meter level information. ● Process to support apps using multimedia and on mobile devices also. ● Sharing of parts information must be permission based to allow authorized recipients only. ● Hashes of key files that are shared across sectors must be maintained and provided to be able to verify file authenticity. 3
- 4. Typical Reports and Evaluations ● Granular data with high frequency and hundreds of locations. ● Rollups of generated data as well as other metrics. ● The appropriate location information is to be linked. ● Greening evaluation as well as waste minimization.. ● Capture generation of appropriate wastes properly. ● Waste and carbon footprinting. 4
- 5. Clouds, Apps, and Activities Purchasing and Administration Supplier data Design Production scheduling Manufacturing floor Customer Facing portal Regulatory needs 5
- 6. Hybrid Cloud A definition from whatis.com—Hybrid cloud is a cloud computing environment that uses a mix of on-premises, private cloud, and third-party, public cloud services with orchestration between the two platforms. 6
- 7. Multicloud A definition from whatis.com—A multi-cloud strategy is the use of two or more cloud computing services. While a multicloud deployment can refer to any implementation of multiple software as a service (SaaS) or platform as a service (PaaS) cloud offerings, today, it generally refers to a mix of public infrastructure as a service (IaaS) environments. 7
- 8. Hybrid Cloud • Combines private and public clouds toward the same purpose. • Hybrid always includes private and public, while unlike a multi- cloud model, in which different clouds are used for different tasks, the components of a hybrid cloud typically work together. • The advantage of the hybrid cloud model is that it allows workloads and data to move between private and public clouds in a flexible way as demands, needs, and costs change, giving businesses greater flexibility and more options for data deployment and use. • Hybrid cloud refers to more of the deployment modes in making the parts work together. 8
- 9. Multicloud • Multicloud environment begins with multiple public clouds but encompasses every aspect of IT ecosystem, including private clouds and other on-premises deployments, virtual infrastructure. • Data and processes tend to intermingle and intersect less than in a hybrid environment • Multicloud is more complex, add more clouds to the mix, perhaps two or more public IaaS providers, a private PaaS, on-demand management and security systems from public clouds, private use-based accounting 9
- 10. Multiclouds • Multiclouds require more thinking around security and governance, given their complexity and distribution. • Multiclouds may develop resiliency issues, considering the number of moving parts. • Multiclouds have value only if you select the right providers, whether on-demand or private, to meet your requirements. 10
- 11. Heterogeneous Nature of End User Requirements—Examples ● Data on production of waste ratios for normalization. ● Because of the various different needs for the data, there are many types of end users. ● Waste footprints and carbon footprints. ● Performance metrics on municipal utilities data as well as industrial data. 11
- 12. Multiple Data Formats in Field—Examples ● Spreadsheet ● Other HTML form based ● Proprietary formats. 12
- 13. Standards Based Approaches for Hybrid Multiclouds ● Standards based underlying data ● Standards based exchange protocols between applications ● Standards based third party secure authentication for multicloud data access. 13
- 14. Is Cost a Factor? ● Does it cost? How much? ● Is free good? What are the nuances, or is it just training and learning? ● If it costs a lot, must it be good? Is the cost justified, or is it just a hype of a regular product? ● Training costs, if any. 14
- 15. Is Secrecy a Factor? ● How much do you know about the clouds’ platforms before you subscribe? ● Are platform descriptions and capabilities openly available, and also demos addressing each feature detail—very important. ● Are you refrained by the NDA to not even discuss the service capabilities or name the service? 15
- 16. Other Factors ● Who owns the data kept? Where is kept? Is the data accessible to your processes, and to applications that need it such as PLM? ● Are the accesses metered, or a cost? ● Is the access web protocol based or proprietary? ● Fault tolerance of systems, and redundancy of data, as well as hashes, signature. 16
- 18. Integration ● Recognize that this involves evaluation of all systems to support mission critical operations. ● Execute each part efficiently. ● Choose scalability and flexibility. ● Support standards based data and exchanges. 18
- 19. Results and Benefits An effective hybrid multicloud methodology enables open data exchanges, security and authentication, scalability, authorized third part accesses when needed. Flexibility of operations. Enables an open marketplace with no restrictions on competition. Cost effectiveness-use of clouds optimized for performance and price. 19
- 20. Conclusion Effective waste minimization and discharge waters pollution prevention result from: efficient gathering/submittals of data and instantaneous notifications of information updates. Data communicated: Quality of and quantity of all waste streams. Disaggregation by location for complex sites. Disaggregation by process for advanced users. Integrate with energy data. 20