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Team Name: OCD Solutions
System: Optimized Cloud Data Solutions (OCD Solutions) Team Members: Mike Moffitt, Ty Bolin, Trey Kanaman, & Kennedy King
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Strategic Values/Objectives
Quick/Easy Configuration Quality – Customer Satisfaction Scalable Performance Scalable Storage Reliability Descriptive Statement Optimized Cloud Data Solutions provides cloud based storage that can be utilized across platforms and customers. The implementation provides the ability to combine common data structures into a single instance reducing the overhead, and licensing requirements of running multiple instances within one or multiple systems. The system provides the customer the ability to span data storage across platforms that have access to the OCDS system. This also allows for more optimal usage of the processing power within the allocated resources. The OCDS system allows the customer to add storage or increase performance on demand as needed by scaling the hardware the customers storage node can access. This allows the system to meet the customers changing needs. The OCDS system is not hardware specific. This allows the overall capacity of the entire OCDS system to add new hardware without requiring the existing hardware to be replaced.
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CURVE Capriciousness Uncertainty Risk Variation Evolution
New Technologies (reactive/proactive) New Customer Environment (reactive) Uncertainty Total Storage needed (reactive) Number of supported platforms (Reactive) On Demand Expansion (reactive) Standardize Interfaces (proactive) Risk Hardware Availability (reactive) Customer infrastructure (network) (reactive) Variation Variation of Hardware vendors (proactive) Types of data storage (reactive) Performance requirements (reactive) Processing priority (reactive) Evolution New platforms (reactive) New technologies (storage, interfaces, etc) (reactive/proactive)
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Reality Factors Human Behavior Reality Complacency Lack of experience
Slacktivism Organizational Behavior Overselling cloud space to customers that may not need it Lack of “on-hand” hardware - dependent upon implementation Employee incentives for selling more hardware/space than is necessary Technology Pace Updating security vulnerabilities Changing OS formats Maintain legacy support System Complexity Excessive accelerated expansion Supporting multiple evolved technologies Training Globalization Reality Infrastructure – unreliable power source based on the location of service Language barriers Export/Import laws Partially-Agile Enterprise Use of COTS Agile Adversaries/Competitors/Customers Competitors may provide a more agile operation
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Response Situation Analysis
PROACTIVE Change Domain General Issues Creation (and Elimination) Provide Data Storage systems to solve customer needs (s) Consolidate data access location to a common point (s) Improvement Data Access Performance (c, t) Security Enhancements (p, c) Migration Incorporation of new technologies (p, t) Implement smaller hardware form factors (c) Modification (Add/Sub Capability) Expand to include services beyond data storage (s, c) Add functionality to simplify management of system (s, c, t)
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Response Situation Analysis
Reactive Change Domain General Issues Correction Add tolerance to power fluctuations (c, t, p) Continue operation through hardware failures(c, t) Variation Variation in hardware availability (t, p) Customer Priority of processing needs (p) Expansion (and Contraction of Capacity) Adding or removing processing and storage capacity (t, p) Support of more or fewer platforms (p, t) Reconfiguration Adjusting of COTS vendors (c, t) Modification of deployment implementation (p, c, t, s)
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Encapsulated Modules REUSABLE SCALABLE Evolving Infrastructure Hardware: Power Racks (depending on customer) Cooling system Processors Storage Devices (RAIDS, etc) Network System Sockets: Network Hardware standards – such as transitioning from copper wire to fiber optic Hard Drive Data types – different interfaces for types of hard drives (SATA, SAS, etc) Signals: Network Protocols – Supporting variations in network protocols as technology advances (TCP/IP, UDP, IPv4/6) Supported Legacy data types – Interface into new platforms may be set and require adjustment from system to support. Security: Standardization of Software – common theme of user interface, use of industry standards (where available) for data transfers protocols Use of Industry standard physical interfaces Software: Database Module Interface/Translation Module Resource Management Module Safety: Adhering to regulatory laws Temperature monitoring within system Service: Provide remote monitoring/maintenance of system to customer
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Resources Integrity Management Infrastructure Rules/Standards
RACKS POWER Database Modules Cooling System Interface Module Resource Management Module Situational awareness Resource mix evolution Resource readiness Activity assembly Infrastructure evolution Team Lead Material Coordinator/Purchaser Management/Customer Liaison Product Assemblers Program Management Active Infrastructure Passive Single Platform Multiple Platforms Centralized OCD-Skynet Sockets Signals Security Safety Service HW Interface SW Interface Standards Regulations Support Func Rules/Standards
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