challenges in data center
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The document discusses several challenges in traditional data centers, including poor efficiency when space is not fully utilized, designs focused on long-term use leading to poor capital expenditure, and high risks due to technology changes, air flow management strategies, and water distribution issues. It also examines relationships between hardware, power, cooling, density, and space constraints as well as trade-offs between availability and efficiency in data center design.
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www.projectsieee.com, www.ieee-projects-chennai.com
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Email:ieeeprojectchennai@gmail.com
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The Cloud & Its Impact on IT
Invited Talk, IEEE Electrical Design of Advanced Packaging and Systems (EDAPS) Symposium, 2014
http://www.edaps2014.org/
Hp - 14oct2010
This document discusses HP's converged infrastructure (CI) storage solutions. It summarizes how CI helps address storage challenges through optimized performance, reduced complexity, maximized utilization, and reduced power footprint. It then discusses how HP's virtual resource pools require a virtualized storage infrastructure to transform information economics. Finally, it provides details on HP StorageWorks virtualization solutions and the benefits of the HP LeftHand P4000 storage solution.
presentation on reducing Cost in Cloud Computing
This presentation summarizes the costs associated with cloud data centers, including servers (45% of costs), infrastructure (25%), power draw (15%), and networking (15%). It discusses problems like low server utilization (10%) due to uneven application fits and long provisioning timescales. Solutions proposed include increasing utilization by matching applications better to server resources and reducing provisioning times. Reducing power consumption through more efficient hardware could lower infrastructure and power costs. The presentation argues data center networks need properties like location-independent addressing and uniform bandwidth/latency to improve agility. It suggests incentivizing efficient resource usage and filling low-usage periods. Geo-distributing services could improve performance but requires joint optimization of data center and network resources.
Storage simplicity value_110810
This document discusses Oracle's vision for providing optimized, integrated storage solutions through hardware and software engineered to work together. It highlights benefits like better performance, reliability, security, shorter deployment times, lower costs, and simplified management. The document also outlines challenges around explosive data growth, changing data types, and rising storage management costs. It introduces Oracle's Sun ZFS Storage Appliance as a solution that can simplify storage management, optimize efficiency, and reduce costs through the use of advanced analytics, simple data management capabilities, and breakthrough storage economics enabled by its differentiated ZFS technology.
Deerns Data Center Chameleon 20110913 V1.1
The Chameleon Data Center was designed to dynamically adapt to meet changing business needs in terms of IT space, cooling, power and reliability tiers, while maintaining energy efficiency. It utilizes a unique combination of centralized and decentralized systems to deliver flexible IT power and cooling across a range of power densities, reliability tiers and capacities from the same infrastructure. This reduces upfront investment costs and allows customers to decide how to configure the data center space until equipment installation. The design achieves flexibility without additional costs through a modular infrastructure that can be easily adapted.
Using Distributed In-Memory Computing for Fast Data Analysis
This is an overview of how distributed data grids can enable sharing across web servers and virtual cloud environments to enable scalability and high availability. It also covers how distributed data grids are highly useful for running MapReduce analysis across large data sets.
DCIM
DCIM tools help data center managers improve planning, lower costs, and speed up information delivery by providing visibility into data center infrastructure and automation of manual processes. They solve problems around maintaining availability and responding quickly to business needs while lowering costs during consolidation and cloud computing initiatives. DCIM tools provide concise summaries of capacity, assets, and performance to help answer questions around planning, operations, and analytics. Their use is important for reducing operational expenses by 10-30% annually while improving productivity.
神州数码 Jason pan future_clouddatacenterv2
This document discusses trends in cloud computing and cloud data center design. It notes the evolution of cloud computing from early concepts to widespread adoption today. Key points covered include the growth of private clouds within large enterprises, the rise of big data and noSQL databases, and cloud providers expanding globally. The document also provides guidelines for designing highly scalable, efficient cloud data centers, focusing on factors like high density server configurations, modular designs, efficient cooling and power distribution, and reliability.
Apc - 8dec2010
The document discusses Schneider Electric's InfraStruxure management solution for data centers. It addresses challenges facing data centers like increasing power and cooling demands due to server density growth. InfraStruxure provides a standardized, modular architecture and smart management capabilities to help data centers efficiently plan, build, operate and maintain infrastructure while aligning capacity with business needs. It allows monitoring the physical infrastructure in real-time for reliability and efficiency.
Overcoming the Top Four Challenges to Real-Time Performance in Large-Scale, D...
The most critical large-scale applications today, regardless of industry, involve a demand for real-time data transfer and visualization of potentially large volumes of data. With this demand comes numerous challenges and limiting factors, especially if these applications are deployed in virtual or cloud environments. In this session, SL’s CEO, Tom Lubinski, explains how to overcome the top four challenges to real-time application performance: database performance, network data transfer bandwidth limitations, processor performance and lack of real-time predictability. Solutions discussed will include design of the proper data model for the application data, along with design patterns that facilitate optimal and minimal data transfer across networks.
Data center dynamics
The document summarizes the evolution of data centers from mainframes to modern cloud computing models. It discusses key trends driving the data center industry such as consolidation, virtualization, private and public clouds, and green computing. The document also analyzes data center adoption across different government sectors in India and initiatives to improve efficiency through centralized infrastructure and cloud computing. Challenges to government cloud adoption include lack of standardization, security concerns, and resistance to change.
云计算核心技术架构分论坛 一石三鸟 性能 功耗及成本
This document discusses how Tilera's manycore architecture provides a solution for the increasing performance, power efficiency, and space requirements of cloud computing datacenters. It summarizes that Tilera chips offer significantly higher performance per watt than x86 servers through the use of low-power cores in high densities. This allows for slashing total cost of ownership through reduced capital and operating expenses for a given workload. The document also outlines how Tilera's architecture and software stack provide scalable performance through standard programming models and tools.
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4 Ways To Save Big Money in Your Data Center and Private Cloud
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ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
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Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
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Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
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challenges in data center
- 1. The real challenge in Data Center
- 2. The data center real challenge is not the individual discipline and parts on it but the opposing effect of each it has onto one another - which needs to be monitored and controlled
- 3. Trade mark of Traditional Data Center 1. poor efficiency till the room is full 2. "for long term use" design - poor capex investment 3. too many risk involved a. technology change b. air flow management strategy c. water distribution
- 4. Data center hardware-environment relationship Density per Cooling unit space HARDWARE Eqpt Power
- 5. Data Center Challenges (Power and Space) Cabinet Rack &nd Power density Floor Space
- 6. Data Center Challenges Capacity - Cooling and Space Rack Density Cooling Floor Space Cooling Distribution Needs
- 7. Data Center Challenges (cooling and power) Concern area Equipment Cooling Cooling Equipment Supply Demand Max. Draw Power = Breaker Power * 80% Max. Actual Usage = Breaker Power * 50%
- 8. Capacity Management • Optimize Use – Reduce the gap between the actual usage and design • Right-Size – Reduce the gap between the supply and demand
- 9. Relationship of Availability to Efficiency Availability As you increase the service availability the efficiency of the Data Center drops since more equipment needs to be powered up and cool down for the same number of service. The density of equipment also affect the way the Data Center is being cooled down. Efficiency
- 10. Relationship of Availability to Efficiency Availability Efficiency As you increase the service availability the efficiency of the Data Center drops since more equipment needs to be powered up and cool down for the same number of service. The density of equipment also affect the way the Data Center is being cooled down.
- 11. High-Availability • Hardware Reliability • Software • Components Redundancy • Clustering • Mirroring • Fail-over/Fail- Resiliency back • Load-sharing
- 12. Data Center Links DRS LAN Data WAN Center BnR