Knowledge

Information logistics

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destination on networks of roads, but are also stored at warehouses located throughout the transportation infrastructure. This led to a nomenclature in which LN network storage resources are termed "storage depots". The principles that underpin LN have been abstracted into the more general study of scheduling and optimization across the traditional infrastructure silos of Storage, Networking and Processing which was named Data Logistics.
63:. "The study of solutions to problems in Computer Systems that flexibly span resources and services relating to Data Movement, Data Storage and Data Processing." Systems that support general Data Logistics solutions thus must span the traditionally separate fields of Networking, File/Database Systems and Process Management. Data Logistics is a more general form of the term 168:. The combination of certain IEs leads to an information product (IP), which is any final product in the form of information that a person needs to have. When a higher number of different IEs are required, it often results in more planning problems in capacity and inherently leads to a non-delivery of the IP. 398: 274:
and later at intermediate network locations using shared network caches. This line of development also gave rise to Web server replication and other techniques for offloading and distributing the work of delivering large volume Web services to widely dispersed client communities, ultimately resulting
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Firstly, it can be defined as "managing and controlling information handling processes optimally with respect to time (flow time and capacity), storage, distribution and presentation in such a way that it contributes to company results in concurrence with the costs of capturing (creation, searching,
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At the same time, research efforts in server replication and content delivery gave rise to a number of related projects and strategies, including Logistical Networking (LN). The name LN was intended as an analogy to physical supply chain logistics, in which goods are not only carried from source to
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and thus reduce ignorance or lack of precision. In a stricter sense, raw data only becomes information to those who can interpret it. Interpreting relevant, related information produces insight that either leads to existing, or eventually builds new, knowledge.
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Data Caching and Replication are classic examples of Data Logistics solutions to problems in Computer Systems and Networking with high data access latencies or data transfer resource limitations. It works mainly across the areas of data transfer and data
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The goal of Information Logistics is to deliver the right product, consisting of the right information element, in the right format, at the right place at the right time for the right people at the right price and all of this is customer
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To illustrate the concept of an IP, an example is shown of a bottleneck analysis in HR (by J. Willems 2008). Here, the illustration shows how the information elements (e.g. qualifications) build up the information product (e.g. HR file).
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The growth in all Internet traffic, especially across international telecommunication links, resulted in stress to institutional infrastructure and high costs on networks that billed Internet traffic on a per-use
19:(IL) deals with the flow of information between human and / or machine actors within or between any number of organizations that in turn form a value creating network (see, e.g.). IL is closely related to 270:
These factors led to interest in the use of large scale storage (and to a lesser extent, processing) resources to cache the response to network requests, first at the Internet endpoint using a
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Data logistics is a concept that developed independently of information logistics in the 1990s, in response to the explosion of Internet content and traffic due to the invention of the
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are best equipped with information for the task at hand for improved interaction with its customers and machines are enabled to respond automatically to meaningful information.
223:, combined with the steady increase in the size of Web-delivered objects such as images, audio and video clips resulted in the localized overloading of the 203:
encouraged users to freely dereference those links without regard to, or in many cases without even having any knowledge of, the identity (much less the
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Dynamic Compression in data transfer is another example which uses computational resources to minimize the bandwidth requirements of data transfer.
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Much of this traffic was redundant, the results of repeated requests by many independent users to access the same stored files and content.
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can cause Web clients to experience poor performance or complete denial of access to servers that host high volume sites (the so-called
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run of supply. The contemporary logistics focuses on the organization, planning, control and implementation of the flow of goods,
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Beck, M.; Moore, T.; Plank, J.; Swany, M.:"Logistical Networking", Active Middleware Services, pp. 141-154. Springer US, 2000
328: 334:"Information Logistics Research Report:Framework in the healthcare industry" by Willems, Willems and Hajdasinski 2009 311: 228: 147:. Information (from Latin informare: "shape, shapes, instruct") means in a general sense everything that adds 434: 48:
maintenance etc)." (Petri,2017) Thus IL utilizes logistic principles to optimize information handling.
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Secondly, IL can be seen as a concept using information technology to optimize logistics.
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was often delayed due to high delays experienced over long and complex Internet paths.
316: 271: 236: 108: 81: 67:, used as the name of a particular network storage architecture and software stack. 412:
Quantifying the Value of RFID and the EPCglobal Architecture Framework in Logistics
339:"From Having to Using" by Willems 2008 Information Logistics Working Paper Nyenrode 306: 208: 191:(WWW). Some motivations for the emergence of interest in Data Logistics included: 55:
A term which is closely related to the first meaning of Information Logistics is
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Network Storage Symposium], October 14 & 15, 1999; Seattle, Washington.
329:"IL quadrants for information access technology" by Olthof and Willems 2008 385: 165: 144: 137: 397:
Plank, J.S.; Bassi ,A.; Beck, M.; Moore. T.; Swany, D.M.; Wolski, R.: "
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Plank, J.S.; Beck, M.; Elwasif, W.R.; Moore, T.; Swany, M. Wolski, R.:
263: 240: 212: 164:(IE) is an information component that is located in the organizational 129: 176: 204: 196: 148: 125: 121: 115: 107:
The expression was formed by the Indian mathematician and librarian
401:", IEEE Internet Computing, vol. 5, no. 5, pp 50-58, Sept/Oct 2001, 220: 77: 133: 200: 286: 118:. The purpose of this discipline is described as follows: 100:
maintaining both security and organizational flexibility
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The Internet Backplane Protocol: Storage in the Network
114:The supply of a product is part of the discipline 421: 262:Large files and content retrieved from distant 103:integrated information and billing solutions 97:the optimization of the flow of information 80:driven. If this goal is to be achieved, 287:Illustrative examples of data logistics 422: 386:http://loci.cs.utk.edu/dsi/netstore99/ 155: 124:is the teachings of the plans and the 399:Managing Data Storage in the Network 87:Methods for achieving the goal are: 43:may be used in either of two ways: 13: 143:Information Logistics focusses on 91:the analysis of information demand 14: 446: 182: 312:Information lifecycle management 175: 94:intelligent information storage 404: 391: 374: 365: 350: 243:infrastructure. The resulting 1: 359:What is Information Logistics 344: 195:The incorporation of network 34: 317:Transformational outsourcing 219:The growth in the volume of 7: 300: 10: 451: 322: 275:in the creation of modern 41:Information Logistics (IL) 356:Hafter, D.; Kajtazi, M.: 277:Content delivery networks 414:, Springer, Berlin 2012. 211:location of) the target 199:into content encoded in 70: 29:information technology 25:information operations 21:information management 65:Logistical Networking 17:Information Logistics 59:, a concept used in 435:Information science 245:Internet bottleneck 239:network and/or the 209:network topological 162:information element 156:Information element 61:Computer Networking 272:Web browser cache 231:resources of the 109:S. R. Ranganathan 82:knowledge workers 442: 415: 408: 402: 395: 389: 378: 372: 369: 363: 354: 307:Data warehousing 179: 450: 449: 445: 444: 443: 441: 440: 439: 420: 419: 418: 410:Uckelmann, D.: 409: 405: 396: 392: 379: 375: 370: 366: 355: 351: 347: 325: 303: 289: 249:Slashdot effect 185: 158: 73: 37: 12: 11: 5: 448: 438: 437: 432: 417: 416: 403: 390: 373: 364: 348: 346: 343: 342: 341: 336: 331: 324: 321: 320: 319: 314: 309: 302: 299: 298: 297: 294: 288: 285: 268: 267: 260: 257: 217: 216: 189:World Wide Web 184: 183:Data logistics 181: 157: 154: 105: 104: 101: 98: 95: 92: 72: 69: 57:Data Logistics 53: 52: 49: 36: 33: 9: 6: 4: 3: 2: 447: 436: 433: 431: 428: 427: 425: 413: 407: 400: 394: 387: 383: 377: 368: 361: 360: 353: 349: 340: 337: 335: 332: 330: 327: 326: 318: 315: 313: 310: 308: 305: 304: 295: 291: 290: 284: 280: 278: 273: 265: 261: 258: 254: 253: 252: 250: 246: 242: 238: 234: 230: 226: 222: 214: 210: 206: 202: 198: 194: 193: 192: 190: 180: 178: 173: 169: 167: 163: 153: 150: 146: 141: 139: 135: 131: 127: 123: 119: 117: 112: 110: 102: 99: 96: 93: 90: 89: 88: 85: 83: 79: 68: 66: 62: 58: 50: 46: 45: 44: 42: 32: 30: 26: 22: 18: 411: 406: 393: 376: 367: 358: 352: 281: 269: 218: 205:geographical 186: 174: 170: 161: 159: 142: 140:and people. 120: 113: 106: 86: 74: 64: 56: 54: 40: 38: 16: 15: 264:Web servers 166:value chain 145:information 138:information 424:Categories 345:References 241:Web server 229:processing 213:Web server 197:hyperlinks 35:Definition 430:Logistics 237:wide area 225:bandwidth 149:knowledge 130:efficient 126:effective 122:Logistics 116:Logistics 39:The term 301:See also 293:storage. 221:Web hits 362:, 2009. 323:Sources 235:and/or 256:basis. 78:demand 233:local 134:money 227:and 201:HTML 128:and 71:Goal 27:and 384:", 251:). 207:or 160:An 426:: 279:. 136:, 111:. 31:. 23:, 215:.

Index

information management
information operations
information technology
Computer Networking
demand
knowledge workers
S. R. Ranganathan
Logistics
Logistics
effective
efficient
money
information
information
knowledge
value chain

World Wide Web
hyperlinks
HTML
geographical
network topological
Web server
Web hits
bandwidth
processing
local
wide area
Web server
Internet bottleneck

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