I have been writ­ing this arti­cle since March 17th, found it in my “not pub­lished” tray so I decided to fin­ish it today, There are dat­a­cen­ters and DATACENTES.   What is a dat­a­cen­ter ? Data cen­ter infra­struc­ture lay­ers are power, cool­ing, tele­com, data rooms and net­work oper­a­tions cen­ter. In May 2008, Jeff Dean spoke at the Google I/O con­fer­ence high­light­ing some infor­ma­tion on the inner work­ings of their dat­a­cen­ter and ambi­tious plans. With already 36 dat­a­cen­ter around the world in 2008 with over 200,000 servers, that is a lot.

Giz­modo

Here are some infor­ma­tion from Wiki on Google’s datacenter

Orig­i­nal hardware

The orig­i­nal hard­ware (circa 1998) that was used by Google when it was located at Stan­ford Uni­ver­sity included:[7]

  • Sun Ultra II with dual 200 MHz proces­sors, and 256 MB of RAM. This was the main machine for the orig­i­nal Back­rub system.
  • 2 × 300 MHz Dual Pen­tium II Servers donated by Intel, they included 512 MB of RAM and 9 × 9 GB hard dri­ves between the two. It was on these that the main search ran.
  • F50 IBM RS/6000 donated by IBM, included 4 proces­sors, 512 MB of mem­ory and 8 × 9 GB hard drives.
  • Two addi­tional boxes included 3 × 9 GB hard dri­ves and 6 x 4 GB hard dri­ves respec­tively (the orig­i­nal stor­age for Back­rub). These were attached to the Sun Ultra II.
  • IBM disk expan­sion box with another 8 × 9 GB hard dri­ves donated by IBM.
  • Home­made disk box which con­tained 10 × 9 GB SCSI hard drives.

Cur­rent hardware

Servers are commodity-class x86 PCs run­ning cus­tomized ver­sions of Linux. The goal is to pur­chase CPU gen­er­a­tions that offer the best per­for­mance per dol­lar, not absolute per­for­mance.[8] Esti­mates of the power required for over 450,000 servers range upwards of 20 megawatts, which cost on the order of US$2 mil­lion per month in elec­tric­ity charges. The com­bined pro­cess­ing power of these servers might reach from 20 to 100 petaflops.[9]

Spec­i­fi­ca­tions:

  • Upwards of 15,000 servers[2] rang­ing from 533 MHz Intel Celeron to dual 1.4 GHz Intel Pen­tium III (as of 2003). A 2005 esti­mate by Paul Strass­mann has 200,000 servers,[10] while unspec­i­fied sources claimed this num­ber to be upwards of 450,000 in 2006.[11]
  • One or more 80 GB hard disks per server (2003)
  • 2 – 4 GB of mem­ory per machine (2004)

The exact size and where­abouts of the data cen­ters Google uses are unknown, and offi­cial fig­ures remain inten­tion­ally vague. In a 2000 esti­mate, Google’s server farm con­sisted of 6,000 proces­sors, 12,000 com­mon IDE disks (2 per machine, and one proces­sor per machine), at four sites: two in Sil­i­con Val­ley, Cal­i­for­nia and one in Vir­ginia.[12] Each site had an OC-48 (2488 Mbit/s) inter­net con­nec­tion and an OC-12 (622 Mbit/s) con­nec­tion to other Google sites. The con­nec­tions are even­tu­ally routed down to 4 × 1 Gbit/s lines con­nect­ing up to 64 racks, each rack hold­ing 80 machines and two Eth­er­net switches. The servers run cus­tom server soft­ware called Google Web Server.

Hard­ware details con­sid­ered sensitive

In a 2008 book,[13] reporter Ran­dall Stross wrote: “Google’s exec­u­tives have gone to extra­or­di­nary lengths to keep the company’s hard­ware hid­den from view. The facil­i­ties are not open to tours, not even to mem­bers of the press.” He wrote this based on inter­views with staff mem­bers and his expe­ri­ence of vis­it­ing the company.

Data cen­ters

Google has numer­ous data cen­ters scat­tered around the world. At least 12 sig­nif­i­cant Google data cen­ter instal­la­tions are located in the United States. The largest known cen­ters are located in The Dalles, Oregon; Atlanta, Georgia; Reston, Virginia; Lenoir, North Car­olina; and Goose Creek, South Car­olina.[14] In Europe, the largest known cen­ters are inEemshaven and Gronin­gen in the Nether­lands and Mons, Belgium.[14] Google’s Ocea­nia Data Cen­ter is claimed to be located in Sydney, Australia. [15]

Project 02

One of the largest Google data cen­ters is located in the town of The Dalles, Ore­gon, on the Colum­bia River, approx­i­mately 80 miles from Port­land. Code­named “Project 02″, the new com­plex is approx­i­mately the size of two foot­ball­fields, with cool­ing tow­ers four sto­ries high.[16] The site was cho­sen to take advan­tage of inex­pen­sive hydro­elec­tric power, and to tap into the region’s large sur­plus of fiber optic cable, a rem­nant of the dot-com boom. A blue­print of the site has appeared in print.[17]

Summa paper­mill

In Feb­ru­ary 2009, Stora Enso announced that they had sold the Summa paper mill in Hamina, Finland to Google for 40 mil­lion Euros.[18][19] Google plans to invest 200 mil­lion euros on the site to build a data cen­ter.[20]

Soft­ware

Most of the soft­ware stack that Google uses on their servers was devel­oped in-house.[21] It is believed that C++, Java, and Python are favored over other pro­gram­ming lan­guages.[22] Google has acknowl­edged that Python has played an impor­tant role from the begin­ning, and that it con­tin­ues to do so as the sys­tem grows and evolves.[23]

The soft­ware that runs the Google infra­struc­ture includes:[24]

  • Google Web Server
  • Google File System
  • BigTable
  • Chubby lock service
  • MapRe­duce and Sawzall pro­gram­ming language
  • Pro­to­col buffers

Server oper­a­tion

Most oper­a­tions are read-only. When an update is required, queries are redi­rected to other servers, so as to sim­plify con­sis­tency issues. Queries are divided into sub-queries, where those sub-queries may be sent to dif­fer­ent ducts inpar­al­lel, thus reduc­ing the latency time.[2]

To lessen the effects of unavoid­able hard­ware fail­ure, soft­ware is designed to be fault tol­er­ant. Thus, when a sys­tem goes down, data is still avail­able on other servers, which increases reliability.

Catchup

Apple has been build­ing a MDC (Mas­sive Data Cen­ter) in Maiden North Car­olina, and is said to have gone into oper­a­tion already, but Apple has not made clear on how it is using it at this time. The 500,000 square foot facil­ity is five times larger than the Newark Cal­i­for­nia facil­ity (109,500 square foot, bought from World­Com @ 45 mil­lion, a bar­gain con­sid­er­ing it cost 110 mil­lion to build) it owns, is said to cost Apple more than 1 Bil­lion US dol­lars to build.

Named the iDat­a­cen­ter, many spec­u­late this site to house the cloud based iTunes and other ser­vices that Apple plans to deliver in the future.  With it’s own Newark and Cuper­tino data cen­ter sup­ported by addi­tional ser­vices from Aka­mai and Lime­light, why does it have to spend 1 bil­lion USD in North Car­olina? (The 1 bil­lion USD price tag is about twice what Micosoft and Google spend for their data cen­ter.) The answer is fairly sim­ple, it get a larger tax incen­tive from the state if a com­pany invests more than 1 bil­lion dol­lars over 9 years.

It is said that Eric Schmidt stole all the secrets from Apple dur­ing his days as a board mem­ber of Apple, but know­ing Steve Jobs, I  have a feel­ing that Steve would have picked Eric’s brains on how to con­struct, run and use a data cen­ter as well. I find it unlikely that Apple would launch such an aggres­sive invest­ment (yes, Apple’s data cen­ter is the biggest and most expen­sive in the cor­po­rate world) into data cen­ter if it did not have con­fi­dence on con­struc­tion, oper­a­tion, usage, return and investment.

For What?

On June 7th, 2010, Apple may unveil a new ser­vice of sorts that use the data cen­ter. Apple pur­chase of Lala and Quat­tro may have a direct rela­tion to the MDCs.  I am sure Apple needs iDat­a­cen­ter just to ful­fill the App  and iTunes store sales, so many more may be in the pipeline.

Many spe­cial­ists feel that data cen­ter is so large and close to Pen­ta­gon grade, that usage of this power can not be filled by iTunes, SaaS, Lala, Quat­tro, iPhone, iBook­store or the App store.

In an arti­cle in Cult of the Mac, they inter­view Rich Miller who is the edi­tor of Data Cen­ter Knowl­edge, an online trade mag­a­zine devoted to the data cen­ter industry.

CoM: First, any idea why Apple is build­ing this new data center?

Miller: Apple has said very lit­tle about the North Car­olina facil­ity, beyond the fact that it will serve as the company’s East coast data hub. Apple also has a West coast data cen­ter facil­ity in Newark, Calif. Local offi­cials I’ve spo­ken with say they believe the space is pri­mar­ily to sup­port Mobile Me and dig­i­tal con­tent for the iTunes store. The most inter­est­ing ques­tion is whether Apple needs a much larger facil­ity to sup­port growth in its exist­ing ser­vices, or is scal­ing up capac­ity for future offerings.

CoM: Could Apple be build­ing it for cloud com­put­ing apps — cloud ver­sions of its iLife apps for example?

Miller: One of the lead­ing the­o­ries about the size of the NC project is that Apple is plan­ning future cloud com­put­ing ser­vices that will require lots of data cen­ter stor­age. Cloud com­put­ing is a hot trend, and I’d be sur­prised if Apple isn’t think­ing hard – and think­ing dif­fer­ently – about cloud com­put­ing. Many cloud enthu­si­asts say that cloud com­put­ing will elim­i­nate the need for data cen­ters. In real­ity, the only thing will change is the owner of the build­ing. All the appli­ca­tions and data that are mov­ing into the cloud will live on servers in brick-and-mortar data cen­ters. The com­pa­nies that are build­ing the biggest data cen­ters tend to also have the biggest cloud ambitions.

CoM: How big is Apple’s new North Car­olina data cen­ter — big, small, medium?

Miller: The early site plans indi­cate Apple is plan­ning about 500,000 square feet of data cen­ter space in a sin­gle build­ing. That would place it among the largest data cen­ters in the world. For com­par­i­son pur­poses, Apple’s exist­ing data cen­ter in Newark, Calif. is a lit­tle more than 100,000 square feet. Most new stand-alone enter­prise data cen­ters are in the range of 100,000 to 200,000 square feet. So this would qual­ify as a big-ass data center.

CoM: What’s it com­pa­ra­ble to? Do you know of any spe­cific examples?

Miller: In the past sev­eral years we’ve seen a hand­ful of new facil­i­ties that are redefin­ing the scope of mod­ern data cen­ters. These include Microsoft’s new facil­ity in Chicago, the Super­NAP in Las Vegas and the Phoenix ONE colo­ca­tion cen­ter in Phoenix. All of these facil­i­ties house at least 400,000 square feet of space. These data cen­ters are designed to sup­port an enor­mous vol­ume of data, and reflect the accel­er­a­tion of the tran­si­tion to a dig­i­tal econ­omy. All those dig­i­tal assets – email, images, video and now vir­tual machines – drive demand for more and larger data centers.

CoM: Why did Apple chose NC? Are there par­tic­u­larly big pipes in NC? A big pow­er­plant nearby?

Miller: The choice of rural North Car­olina sug­gests that the bot­tom line for Apple is cost, rather than con­nec­tiv­ity. The site in Maiden, NC is not far from a large data cen­ter by Google, which usu­ally chases cheap power and tax incen­tives. Power from Duke Energy is about 4 to 5 cents per kilo­watt hour, com­pared to 7 to 12 cents in Cal­i­for­nia. The com­pany also max­i­mized its incen­tives by pit­ting Vir­ginia and North Car­olina against one another in try­ing to wring the best tax incen­tives out of both states (a pop­u­lar strat­egy in data cen­ter site location).

Some large com­pa­nies use dis­trib­uted data cen­ters to man­age their latency and con­tent deliv­ery costs. That may be part of Apple’s think­ing, since they’re a major cus­tomer for CDNs (I believe they use both Aka­mai and Lime­light Net­works). Face­book cited latency to Europe as a key fac­tor in its deci­sion to add data cen­ters in Vir­ginia. Before that, MySpace added a data cen­ter in Los Ange­les to reduce its reliance on CDNs. But in both cases, those com­pa­nies sought out Inter­net hubs where they could con­nect with dozens of other net­works to man­age their Inter­net traf­fic. You don’t get that in rural North Car­olina, soApple seems more focused on cost and scale than on con­nec­tiv­ity – which again would sug­gest a cloud focus.

Unfo­tu­nartluy this inter­view does not reveal or hint what Apple may use the data cen­ter for, only to spec­u­late that it will han­dle a lot of data.

Lot’s of Data? (IMPORTANT READ HERE)

Yes, lots. What uses a lot of data? Hum, video comes to mind. With the iPhone 4G unmasked and it’s frontal cam­era and 5mega pixel rear cam­era (Apple is also said to have 8mega pixel cam­era ver­sion in the field), and con­sid­er­ing that it is an inno­va­tor in dig­i­tal lifestyle appli­ca­tion, it is not far fetched to think that Apple may have a new “Video Social Net­work” planned that may put Face­book, Twit­ter, Foursquare, Ustream and You Tube to rest. With Vimeo qual­ity HD video (as iPhone most likely will be named “iPhone HD” for a rea­son, not fad), face and loca­tion recog­ni­tion, AR and AR (Arti­fi­cial Real­ity and Aug­mented Real­ity), this would be a killer offer­ing if it came true. Apple with it’s new iPhone and SaaS may store every­ones video, tag them, add face, voice and text recog­ni­tion to them and use this data to cre­ate and sug­gest rela­tion­ship with peo­ple. Apple may have more infor­ma­tion on it’s users that FBI’s col­lected data over the decades.

Video is the miss­ing link in SOCIAL. Yes­ter­day I did an event and streamed it live. I had 4,410 view­ers (2,638 unique) of this show. I am just amazed that some­one like me goes live and you get 4k peo­ple watch­ing the show at one time or the other. Twit­ter of course enhances Ustream, the plat­form which was used for the event. All I needed was a Mac­Book Pro note­book and 2 video cam­eras, 4 micro­phones and a audio mixer.

VIDEO is KING of ALL THINGS DIGITAL

I said this and I will say this again, there is noth­ing to clear and easy to under­stand than mov­ing pic­ture. If 2 peo­ple read a book, their expe­ri­ences may be com­pletely dif­fer­ent. With mov­ing pic­tures it is always the same. If geo tag­ging, short mes­sages, moods, AR and AR can be part of ” what are you going now” twit­ter post­ing, then there will be no more need for any of the SNS ser­vices which are now frag­mented and dif­fi­cult to under­stand. You Tube and Ustream is show­ing Apple how good a poten­tial busi­ness this is, what You Tube and Ustream lack in ease of use and depth of con­tent since nei­ther makes hard­ware and oper­at­ing systems.

Apple has been in a unique posi­tion to watch closely the devel­op­ments of VIDEO SOCIAL (although they are only avail­able in frag­ments and encom­pass mul­ti­ple ser­vices and hard­ware and oper­at­ing sys­tem plat­form thus caus­ing chaos to some users), it is sin­gle­hand­edly in a posi­tion to offer a seam­less solu­tion via it’s OS, hard­ware and deliv­ery plat­form. One but­ton and your done with video, geo and text.

If Apple really wants to embark on video, some ana­lysts say, they may need more of these 1 bil­lion dol­lar data cen­ters around the world to fight latency and sheer num­ber of uploads each iPhone HD will store.

Who else ?

Ora­cle and the US gov­ern­ment are also speed­ing up the con­struc­tion of MDCs in 2010.  Ora­cle stopped con­struc­tion of the MDC in Salt Lake City but then again has recently resumed work on the 240,000 square foot 285 mil­lion dol­lar project. Oracle’s main busi­ness is CRM SaaS (soft­ware as ser­vice) and needs these cen­ters to take on more speed and cus­tomer demand. MDCs are being built in Lon­don, Wales, Tokyo, Tsukuba and many other cities around the world.

Make no mis­take about it, Apple and Google are  at war, but come June 7th, Apple may throw in some new weapons to com­bat Googles announce­ments that it made at Google I/O, or it may not, since it may announce a ser­vice so ambi­tious and close to our daily life, our method of shar­ing notched up to a higher level. In such case, oth­ers will play catch up with new ser­vice offer­ings and data cen­ters, but once Apple takes the lead, it may be hard for Google to orga­nize HTC and other man­u­fac­tur­ers to have a com­mon user inter­face prod­uct to pro­vide the seam­less user expiri­ence pro­vided by a com­pany that makes everything.

Ever since 1985, I have been involved with Apple, not because I am an Apple freak (in hon­esty I am but), but because it makes good busi­ness sense to trust a com­pany that has a solid vision (not dur­ing Job’s absence I must say), owns and can con­trol the direc­tion it wants to go. To me the HTC Desire is like a Fer­rari 430 with a Toy­ota engine,  while the Nexus One is like a Fer­rari Cal­i­for­nia with a Nis­san engine, not bad but in the end, i will no longer buy Fer­rari since what I am buy­ing is nei­ther a Fer­rari, Toy­ota or a Nissan.

It may be a really good time to be in a con­struc­tion com­pany or a com­pany mak­ing con­tainer unit mod­ule for data centers.

Googleは自社サイトより既にFroyoのアップデートをダウンロードできなくしているので、ここで拾う。ダウンローの前にSafariが.zipを解凍しないよう設定で行っておく事。

  1. ファイル名を Update.zipに変更する。microSDアダプター等でファイルをAndroid用microSDにコピー 46.6mb
  2. microSDをNexus Oneに入れる。SIM入れる必要なし
  3. パワーオフの状態で、音量ダウン(下)と電源を同時に押す
  4. ローダーが起動するのを待つ(数行メッセージが流れます)
  5. 音量ボタンで選択行を動かし、RECOVERYを選び電源を押す
  6. ビックリ! Android が出てきたら音量アップ(上)と電源を同時に押す(電源先を離す)
  7. 出てきたメニューから update.zipの行をスクロールボールで選び、ボールを押し後は待つだけ。

2010-05-18 朝 UPDATE : Googleは非パスワードの個人宅wifi通信データも受信し、記録していた事が判明。ドイツと米国では訴訟が始まるらしい。これは大事件です。この情報が国家や秘密警察、政治団体に漏れれば(デジタルデータはネットの生き物、流失の可能性は大きい)非常に危険で、個人の人権消滅につながる。怖い話だけじゃ住まない。日本、香港でも傍受されていた模様。このデータはGoogleのクラウド内に今も保管されているのか?誰も知らないと所にアーカイブされているのか?今後の展開を見守る必要があるし、読者もネットでこの事実を広げ、非パスワードWifiや空港等のパスワードの無いアクセスポイントを使う危険性を認識するべき。

wifiこんな車が貴方の町の周りを通ったら、多分貴方の自宅wifiの種類やプロバイダー、速度等がロギングされているだろう。信じられないが先ほど香港のFOX NEWSのテロップに流れた。意図的では無いと言うが。。信じられん。サーチでGUARDIANの記事も見つけた。こちら SSID & MAC ADDRESSを取得しているそうだ。日本では完全にやられていると考えた方が良い。このような情報をもとに今後世界規模のキャリアになる準備をしているのかもしれない。

単なる間違えと説明したgoogleだが、利用の目的があって初めて行う行為のように思う。単純な情報しか取得していないと説明しているが、実はwifiストリーム内容もキャプチャーする事は実に簡単。Wifi ストリームはパスワード無しのルーター、公共ルーターやセキュリティーの弱いルーターは比較的簡単にパケットをsnif­fer, tracer, analyzerなるソフトで傍受し、エンコードされていないデータの場合、そのまま読む事も出来る。encryption レベルによるが、専門家であれば解読出来る場合もある。Don’t be Evilなのに何故? 英語 wiki packet ana­lyzer この理由もあり、空港ラウンジや公共のwifiルーターを私はあまり使わない。毎年開かれるAppleの開発社会議WWDCでは、自慢げに親友のディベロッパーがSnifferを立ち上げ、他人のメールを読んでいるのを見せられたことがある。 (間違った情報を修正)

10bestsolutions

10bestsolutions

2008年 SOTSYNDICATE記事より

Hacker Free­ware

There is a great deal of free­ware soft­ware avail­able for imme­di­ate down­load that pro­vides even a novice with sub­stan­tial tools to remotely inter­cept wire­less net­work data trans­mis­sion pack­ets and after hav­ing col­lected enough of your “encrypted data pack­ets,” crack your encryp­tion vec­tor for 128 bit WEP. That allows a hacker to remotely read your files and trans­mis­sions as if the they were directly con­nected to your net­work. One of the more sin­is­ter aspects of wire­less hack­ing is that it doesn’t nec­es­sar­ily leave foot­prints. To use such pro­grams one need not be a deeply expe­ri­enced com­puter engi­neer, but merely have some basic com­put­ing knowl­edge. Find­ing and down­load­ing cook­book Wi-Fi hack­ing pro­grams takes about ten sec­onds using any stan­dard Inter­net search tool. Wi-Fi hack­ing soft­ware is avail­able for Win­dows sys­tems, Mac, Linux/Unix, and Pocket PC based systems.

Here is a small sam­pler of the more com­mon free­ware Wire­less hack­ing software:

1. Airsnort, wire­less net­work “tool” that pas­sively mon­i­tors 802.11b net­works, doesn’t leave any obvi­ous intru­sion traces, gath­ers your Wi-Fi broad­cast data pack­ets and then ana­lyzes them to decrypt the 128 bit WEP encryp­tion key, assum­ing that you’re even using that basic encryp­tion. There are other sim­i­lar war-driving “snif­fer” pro­grams such as Aerosol and Mognet, which includes the abil­ity to directly view cap­tured 802.11b pack­ets.
2. Net­work Stum­bler, a pro­gram that grabs broad­cast W-Fi con­fig­u­ra­tion infor­ma­tion and audits a net­work and its attached com­put­ers and users. There’s even a ver­sion for Pocket PCs called Min­iS­tum­bler.
3. pong.exe, which ascer­tains pass­words, WEP encryp­tion keys, and the actual MAC addresses of net­work adapters.
4. Ethe­real, which allows a hacker to exam­ine the live data stream from a Wi-Fi net­work or cap­ture the data stream to a disk for later view­ing.
5. WEPcrack, a decryp­tion pro­gram that uses the lat­est dis­cov­ered sys­temic weak­nesses in the WEP encryp­tion scheme.
6. Kismet, which can simul­ta­ne­ously iden­tify mul­ti­ple 802.11 networks.

These pro­grams can be down­loaded, for exam­ple, from http://802.11-security.com/security/tools. Read­ily avail­able pro­grams like these cut both ways. They’re use­ful for illicit intru­sion into your net­work but also as a means of inde­pen­dently check­ing your own Wi-Fi secu­rity. You might find it both enlight­en­ing and use­ful to down­load some of this read­ily avail­able free­ware your­self an attempt to hack into your own net­work to test its secu­rity. Sim­i­larly, if you have any indi­ca­tion that you might be vul­ner­a­ble to hack­ing, then try some counter-hacking soft­ware such as Odessey or FakeAP, pro­grams that hides your network’s true access addresses by gen­er­at­ing thou­sands of false and mis­lead­ing access point addresses that con­fuse fifteen-year-old cook­book “script kiddies.”

Often, the same Web sites that pro­vide double-edged hacking/security audit tools also include links to com­mer­cial secu­rity prod­ucts that osten­si­bly plug the same Wi-Fi secu­rity gaps that are exploited by pro­grams posted. Be sure that any com­mer­cial ven­dor solu­tions you might con­sider has been rig­or­ously audited by neu­tral parties.

Wi-Fi is not yet even a fully mature tech­nol­ogy and yet even rea­son­ably mature and proven tech­nol­ogy like 30 year old UNIX or 10 year old 32 bit Win­dows typ­i­cally has some secu­rity vul­ner­a­bil­i­ties, although these become increas­ingly more dif­fi­cult for “script kid­dies” as the obvi­ous holes are plugged. One need only recall at the “extremely crit­i­cal ” secu­rity vul­ner­a­bil­i­ties still found in Inter­net Explorer 6 and in Microsoft Active Script­ing as late as Novem­ber 2003, or the SNMP holes found in Cisco’s Wi-Fi soft­ware to develop a dis­con­cert­ing sense of the poten­tial vul­ner­a­bil­i­ties that remain in even thor­oughly stud­ied, mature software.

2006年提出、2007年取得PSPhone特許図

AppleのiPhoneに唯一対向できる可能性を秘めるGoogleのAndroid OS携帯。しかし完全にフォーカスされているiPhone, iPadやApple社の取り組みはGoogle社のでも立ち向かうのは難しいだろう。フォーカスが違うGoogleは後にPalmと同じ過ちを犯し苦戦すると考えられる。それを阻止するためにソニーと組むのが一番未来がひらける判断だと思う。

[ENGLISH] Why Sony should and can make the PSPhone and what OS and CPU it will run on.

私がソニーの社長だったらPSPhoneにAndroid OSを入れて、携帯部分はAndroid OS、ゲームはGame OSをAndroid上仮想で動かすだろう。CPUPSP CPU(MIPS 64bit コア RXXXX ×2)を当面利用し、新たに開発する携帯を意識した仕様のCell Broad­band Engine for Mobileが出来上がったらGoogle陣営にも売り込む。

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オンラインインフラ Android Mar­ket and Playsta­tion StorePlaySta­tion Net­work
ココで重要なのCPUとかOSではなくSonyのMedia Server/PlayStation NetworkとGoogleのMarketの統合だ。ユーザーが意識せずソフトやサービスを日常的に買う構造をAppleレベルで提供することが重要。最近ではPSNがダウンし、顧客がアクセスできなくなった。Appleも最近ではPlace Engineを利用したソフトのダウンロードを中止したりしており、顧客が困った経緯もある。

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OS Android OS / PlaySta­tion 3 sys­tem soft­ware Xross­Me­di­a­Bar

異なるOSのようだが、役割分担をし、統合も可能だと考えられる。

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CPU CELL

Cell Mobileの優位性も重要だ。IBMではCellエンジンをこのように解説している

The most dis­tin­guish­ing fea­ture of the Cell Broad­band Engine is that although all proces­sors share main stor­age (the effective-address space that includes main mem­ory), their func­tion is spe­cial­ized into two types — the Power Proces­sor Ele­ment (PPE) and the Syn­er­gis­tic Proces­sor Ele­ment (SPE). The Cell Broad­band Engine has one PPE and eight SPEs.

  • The first type of proces­sor, the PPE, is a 64-bit Power Archi­tec­ture core. It is fully com­pli­ant with the 64-bit Power Archi­tec­ture spec­i­fi­ca­tion and can run 32-bit and 64-bit oper­at­ing sys­tems and appli­ca­tions.
  • The sec­ond type of proces­sor, the SPE, is opti­mized for run­ning compute-intensive appli­ca­tions, and it is not opti­mized for run­ning an oper­at­ing sys­tem.

The SPEs are inde­pen­dent proces­sors, each run­ning its own indi­vid­ual appli­ca­tion pro­grams. Each SPE has full access to coher­ent shared mem­ory, includ­ing the memory-mapped I/O space. The des­ig­na­tion syn­er­gis­tic for this proces­sor was cho­sen care­fully — there is a mutual depen­dence between the PPE and the SPEs. The com­bi­na­tion of the two work­ing in har­mony pro­duces a greater effect than each work­ing alone. The SPEs depend on the PPE to run the oper­at­ing sys­tem and, in many cases, the top-level con­trol thread of an appli­ca­tion. The PPE depends on the SPEs to pro­vide the bulk of the appli­ca­tion per­for­mance. ”

Cell is a micro­proces­sor archi­tec­ture jointly devel­oped by Sony Com­puter Enter­tain­ment, Toshiba, and IBM, an alliance known as “STI”.

携帯で複数の作業を早くするには適したCPUだと思うが。。PPEx1/SPEx8で32nmプロセス以下のPowerXCell 8i相当品が消費電力を抑えられれば凄い携帯CPUになるだろう。「え〜、そんなパワー携帯にいらないよ」と思われるだろうが、今世界は3Dやフルレンダリングを携帯端末や小型PCで必要になる。

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コンテンツ  Sony Pic­tures Enter­tain­ment / Sony Music / PlaySta­tion

コソニーはコンテンツの大様だ。Ruper Murdockさんが言うように「コンテンツは大様じゃない、デジタル全ての帝王だ」と。携帯インフラにやってきたら映画も、テレビもその延長製品やサービスもPSPhoneで取り扱え、収益に結びつけられるのでは。。

この記事はまだまだアップデートされます。

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参考までに
SoC ドロワー: Cell Broad­band Engine チップ: 大衆のための高速オフロード

ポルシェの面白い試み。GoogleとPicasaサーチを利用したテスト・ドライブ・サイトだ。 車種を選び出発地と行先を選ぶと地図が表示され車が走り出す。少しすると車体にその街の写真が映り込む。コーナや高速ではスタビリティ・機能の案内やエコドライブの機能が高速走行地図と共に表示される。実に素晴らしいインテグレーションだ。

Porsche’s new Cayenne four wheel is out. More slen­der, more eco­nomic and more pow­er­ful. I have owned 3 cayennes, a 2000 Cayenne S, 2007 Cayenne Turbo and now own a 2009 Cayenne GTS. I love the car. I really also love Porsche in gen­eral, own­ing more than 10 mod­els in the past 30 years and own a 2007 911(997) Turbo MT.

choose your start and end­point of travel

But this arti­cle is not about cars, it is about how Porsche has put Google Maps and Google search to the great­est use I have ever seen in web inte­gra­tion to date. It seems sim­ple enough, but has not been done to this level. It is easy to under­stand, fun and informative.

Porsche’s TO THE POINT in the new Cayenne spe­cial site allows you to :

  1. choose a model
  2. choose the travel start point
  3. choose the travel des­ti­na­tion point

It will show you the fol­low­ing presentation

  1. travel route map with trav­el­ing car
  2. car body sec­tion with reflec­tion of cur­rent loca­tion pic­tures searched from the inter­net (picasa)
  3. inserts show­ing car sta­bil­ity func­tions when the car is dri­ving in curves etc.
  4. inserts show­ing power sav­ing func­tions in free­ways etc..

See them all below. I choose a travel route from Tokyo to Osaka.

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