Page 267 - How Cloud Computing Is Transforming Business and Why You Cant Afford to Be Left Behind

INDEX

Cost of service (cont.): defined, 237
Microsoft Azure, 36, 113–114 illustrations, 26–29, 31–34
perception, business culture/strat- load balancing, 37–38
egy, 164–165 need for, 26–29, 49
private cloud self-provisioning, 77– surplus capacity, 37
78, 80–81 virtualization, 49, 53–54
Rackspace, 34 (See also Virtualization)
transfer fees and cloud portability, Elastra, 94, 112
231–233 Ellison, Larry, 14–15, 19, 105
CPUs (See Hardware) End-user management, 137–140
Crandell, Mike, 117 Energy required by data centers, xii–
Critics, defining the cloud, 14–16 xiii, 135
Croll, Alistair, 232 Eucalyptus/Eucalyptus Project, 94–
Customer relationship management 96, 122–123, 211, 237
(CRM), 169–170 Evans, Bob, 104
Cybernautic, 31, 34 Expenses (See Cost of services)
External cloud, 237
D (See also Public cloud)
Data centers: Extreme Makeover (TV program), 31–34
building, 29–40, 44–45
changes in, defining the cloud, 9– F
13 Facebook, 8–9, 12, 22, 32–33, 40, 172,
cluster computing, 38–50 191–192
corporate enterprise (See Private Failure of cloud, 131–134, 146–151
cloud) FastScale, 112
described, xii–xiii Fault tolerance, 46–47
energy required, xii–xiii, 135 Federated identity, 107–108
evolution and hybrid clouds, 89–91 Fellows, William, 210–211
fault tolerance, 46–47 Firewalls, 158–159, 237–238
NASA Nebula, 74, 207–219 Flexibility and scaling capabilities,
new vs. traditional, 11–12 28–50
DECnet, 82–83 cluster computing, 38–50
Dell Data Center Solutions, 73–74, cost of building data center, 35–36
128–129, 214 elasticity of service, 26–38
Deployment models, NIST, 224–225 Foley, John, 70, 119, 231n
Dhanjani, Nitesh, 156–157 Framework, 238
Distributed Management Task Force (See also Applications)
(DMTF), 116, 121, 124–125 FTP (File Transfer Protocol), 108–
Domain Name System, 209–210 109, 238
Drive thrashing, 13 Fujitsu, 108–109
Future directions (See Business future
E directions)
eBay,2,6,40
Economics, business culture/strat- G
egy, 168–171 Gartner Inc., 89, 118
Economies of scale, 51–52, 72–73, 79 George, Barton, 73–74
Eidetics, 20 Gillin, Paul, 177
Elasticity of service, 26–38 “Glass house,” 164
building data center, 29–38 (See also Data centers)

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