Explore the Infrastructure Technology Trends That Are Driving the Move to Scale-Out.DUBLIN, Ireland -- Research and Markets (http://www.researchandmarkets.com/reports/c51879) has announced the addition of Charting A Course Across The Scale-Up/Scale-Out Continuum to their offering. The IT world was built on scale-up, or vertically-scaled computing computing - computer -- where all resources required for a particular workload The term workload can refer to a number of different yet related entities. An amount of labor While a precise definition of a workload is elusive, a commonly accepted definition is the hypothetical relationship between a group or individual human operator and task demands. or, typically, multiple workloads, were housed on one large, centrally managed system. The proliferation proliferation /pro·lif·er·a·tion/ (pro-lif?er-a´shun) the reproduction or multiplication of similar forms, especially of cells.prolif´erativeprolif´erous pro·lif·er·a·tion n. of x86 servers in the 1990s, combined with the emergence of large Web server farms, helped popularize pop·u·lar·ize tr.v. pop·u·lar·ized, pop·u·lar·iz·ing, pop·u·lar·iz·es 1. To make popular: A famous dancer popularized the new hairstyle. 2. a new model: scale-out or horizontally-scaled computing, where workloads are distributed across networks of typically small, inexpensive 2- and 4-processor servers. Scale-out continues to greatly outgrow outgrow verb To change the relationship with a condition or structure by dint of ↑ age or size; while children outgrow clothing, and certain behaviors, they rarely outgrow diseases–eg, asthma the market with the emergence of new workloads and the relative ease of migrating some scale-out applications. This report examines the real future of scale-out computing. It explores the infrastructure technology trends that are driving the move to scale-out and how these trends are likely to play out over the next five years. It examines the evolution of computing workloads, focusing on which ones can and should -- and which can't and shouldn't -- go to scale-out. It then assesses the relative strengths and weaknesses of scale-out versus scale-up, how the two distinct architectures are beginning to converge con·verge v. con·verged, con·verg·ing, con·verg·es v.intr. 1. a. To tend toward or approach an intersecting point: lines that converge. b. and what this will mean to customers and vendors. Read this Report to Learn: - The server trends -- especially around blade servers A server architecture that houses multiple server modules ("blades") in a single chassis. It is widely used in datacenters to save space and improve system management. Either self-standing or rack mounted, the chassis provides the power supply, and each blade has its own CPU, memory and -- that will simultaneously drive and restrain the adoption of scale-out; - The scale-up/scale-out workload continuum and which applications will migrate to scale-out, how they will do so and over what timeframes; - How the emergence of a new model, scale-across, or diagonal scaling, will force a total rethinking of the traditionally binary Meaning two. The principle behind digital computers. All input to the computer is converted into binary numbers made up of the two digits 0 and 1 (bits). For example, when you press the "A" key on your keyboard, the keyboard circuit generates and transfers the number 01000001 to the scale-up/out decision; and - Which systems vendors are best positioned to capitalize on Cap´i`tal`ize on` v. t. 1. To turn (an opportunity) to one's advantage; to take advantage of (a situation); to profit from; as, to capitalize on an opponent's mistakes s>. these trends and the gotchas that can trip them up. Topics Covered Section 1: The Changing Foundations of Scale-Out Computing Section 2: Blades as the New Scale-Out Design Center Section 3: The Blurring Line Between Scale-Out and Scale-Up Nodes Section 4: The Emergence of Intrinsically Scale-Up Workloads Section 5: Converting Scale-Up Workloads to Scale-Out -- The Hard Way and The Easy Way Section 6: Transcending the Scale-Up/Scale-Out Debate Figure 1: Balancing the Scale-Up/Scale-Out Scorecards Figure 2: Evolution of Blade Server Design Centers Figure 3: Oracle Real Application Cluster Architecture Figure 4: The Scale-Out Workload Continuum Figure 5: The Changing Mix of Scale-Out, Scale-Up and Scale-Across For more information visit http://www.researchandmarkets.com/reports/c51879 Source: Ovum |
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