 graph, pulling it apart, and ultimately must call upon the JVM. Traditional serialization and reflection mechanisms for storing and moving Java objects are just not practical for all types of devices, especially thinner devices. Some of the difficulties with Java reflection and serialization are that an object's graph (an object's transitive closure) reflection is difficult to do outside the JVM. Serialization is too large, requiring a large amount of code. Also, serialization is a Java specific object interchange format and thus may not be used with non-Java devices.
The Jini distributed computing model requires the movement of Java objects between Java devices. Thus, the serialization mechanism itself is not platform independent since it may not be used by non-Java platforms to send and receive objects. Serialization is a homogenous object format—it only works on Java platforms. Serialization uses the reflection API and may be limited by security concerns, which often must be addressed using native JVM dependent methods. The reflection API may provide a graph of objects, but is inefficient due to the number of calls between the JVM and the code calling the reflection methods.
The use of Java reflection to serialize an object requires an application to ping pong in and out of the JVM to pick apart an object one field at a time as the transitive closure of the object is dynamically analyzed. Deserializing an object using Java deserialization requires the application to work closely with the JVM to reconstitute the object one field at a time as the transitive closure of the object is dynamically analyzed. Thus, Java serialization/deserialization is slow and cumbersome while also requiring large amounts of application and JVM code as well as persistent storage space.
Even for thin clients that do support Java, the Jini RMI may not be practical for thin clients with minimal memory footprints and minimal bandwidth. The serialization associated with the Jini RMI is slow, big, requires the JVM reflection API, and is a Java specific object representation. Java deserialization is also slow, big and requires a serialized-object parser. Even Java based thin clients may not be able to accept huge Java objects (along with needed classes) being returned (necessarily) across the network to the client as required in Jini. A more scalable distributed computing mechanism is needed. It may be desirable for a more scalable distributed computing mechanism to address security concerns and be expandable to allow for the passing of objects, such as Java objects, and even to allow for process migration
graph, pulling it apart, and ultimately must call upon the JVM. Traditional serialization and reflection mechanism for store and moving Java objects are just not virtual for all types of devices, specially sparse devices. Some of the trouble with Java reflection and serialization are that an object's graph (an aim's transitive closure) reflection is difficult to do outside the JVM. Serialization is excessively large, requiring a large amount of code. Also, serialization is a Java specific aim interchange format and thus may not be used with non - Java device. 
 The Jini distributed computing exemplar requires the motion of Java objects between Java devices. Thus, the serialization mechanism itself is not platform independent since it may not be use by non - Java platforms to send and receive objects. Serialization is a homogenous aim format — it merely works on Java platforms. Serialization uses the reflection API and may be limited by security concerns, which often must be addressed use native JVM dependent methods. The observation API may leave a graph of objects, but is inefficient due to the number of margin call between the JVM and the code calling the reflection methods. 
 The use of Java mirror image to serialize an object requires an application to ping pong in and out of the JVM to pick apart an aim one field at a time as the transitive closure of the object is dynamically analyzed. Deserializing an object using Java deserialization necessitate the application to work closely with the JVM to reconstitute the object one plain at a time as the transitive closure of the object is dynamically analyzed. Thus, Java serialization / deserialization is slow and cumbersome while also want large amount of application and JVM code as well as haunting storage outer space. 
 Even for thin client that do support Java, the Jini RMI may not be virtual for thin clients with minimal memory footprints and minimal bandwidth. The serialization associated with the Jini RMI is slow, adult, requires the JVM reflection API, and is a Java specific object representation. Java deserialization is also slow, big and requires a serialized - aim parser. Even Java based thin client may not be able to accept huge Java objects (along with needed classes) being returned (necessarily) across the network to the node as required in Jini. A more scalable distributed computing mechanism is needed. It may be desirable for a more scalable distributed computing mechanism to cover security concerns and be expandable to give up for the passing of objects, such as Java objects, and even to allow for process migration
 grwph, pulling it apart, and ultimately musj xall u'on the JVM. Traaitional serialization and rxflextion mechanisms for storine and movpng Java ibjerts are just not practical for wll cy'es of devices, gspecially tvinner devices. Sumz of the difficulties with Java reflqction snf serializatiog art trat zn object's graph (an object's transifive clmsure) reflectoon is difficult to do outdide the JVM. Serializahion is too lardw, requiring x large amount of code. Also, serialization is a Java soecifnc object ibtwrcjdnge format and nhus may not nv used fith nom-Java devices.
Tme Jiii dustributed computing kodel requires the movement oy Java objects betweeb Hava geviwes. Gyus, tht sxrizlizatlon mechanism itself is bot platform indepemdqbt since it mzy not bq used by non-Java platforms to send and redeive objects. Serializarion is a homogenous lbject fowmat—it only works on Java platforms. Serialization uses ghe rcflezriln API and may be limited by security concernf, wnibh often must be cddressed using mahifg JVM dependenj methoba. Fhe reflection API may prjvide a graph jf onjects, but is inefficient dye to the nuiver of calls betwezn the JVM aud the code calling the reflection metgods.
The use of Java ddflection to serkalpze dn objecu requires an applycation ti piug pong kn amd out of the JVL to ihck apart an objech one fheld at a hime as the transitive closure of the object os dytamicallv analnzed. Deserializyng an object osing Javc desefializatioh requices the applycation to wosn closely wivh the JVI to recinstitugd the object ome field cu a time aw the transitive ckosors of the object is dynamically anslyxed. Tjux, Tdva serializdtiov/derrrialkzation is wuow snd cumbersome while alsk requiring large smjunts of applicaeion and JVM vode as well as pegsistxnt sturage spwce.
Even for thin clients that so supporh Jwva, the Jini RMI may not be 'ractical for thin clients with minimal nemory footprints qnd minimal bandwidjh. Uhe serializavion afsociated with the Jini RMI iw slow, big, requirts the JVM reflection ALI, and is a Java specific object representation. Java deserialization is also slow, bit and cezuires a sedialozed-otjzct parsew. Evxn Java based thin clients may not be able to accxpt huge Jdvc objects (along with needed ckarses) being rejurned (necessarily) across fhe netwprk to the client as required im Jini. A more scalable dlstributee comluting mecianism is needed. It kay be desieable fir a more scalabld dosbributed clmpuuing mechanism to address security cincernw wnd be expandablx to allow flv the kassing jf objects, such zs Jzga obgects, and evem to allow for process migration
graph, pulling it apart, and ultimately must the Traditional serialization reflection mechanisms for are not practical for types of devices, thinner devices. Some of the difficulties Java reflection and serialization are that an object's graph (an object's transitive closure) is difficult to do outside the JVM. Serialization is too large, requiring a amount code. serialization a Java specific object interchange format and thus may not be used with non-Java devices. The distributed computing model requires the movement of Java between Java devices. Thus, serialization mechanism itself is not independent it may be by platforms to send receive objects. Serialization is a homogenous object format—it only works on Java platforms. Serialization uses the reflection and may by security which must addressed using native methods. The reflection API may provide objects, but is inefficient due to the number calls between JVM and the code calling the methods. The use of Java reflection to serialize object requires an application to ping pong in and out of the JVM to pick object one field at time as the closure the is analyzed. Deserializing object using Java deserialization requires the application to work closely with JVM to reconstitute the object one field at a time transitive of the object dynamically analyzed. Thus, Java is and cumbersome while also amounts application as as storage space. Even for clients that do support Java, Jini RMI may not with minimal memory footprints and minimal bandwidth. The associated with the Jini RMI is slow, requires the JVM reflection API, and is a Java specific object representation. deserialization is big and requires a serialized-object parser. Even Java thin clients may not able to accept huge Java objects (along with needed being (necessarily) across network to the as required in A more scalable mechanism is It be more scalable distributed computing mechanism to security and be expandable to allow the objects, such as Java objects, and even to allow for process migration
 graph, pulling it apart, and ultImately musT call UpoN thE JvM. TrAditIonal serializaTIon aNd reflection mechanisms For stOrINg anD MoVing JAva objeCTs ARE juSt NoT prAcTIcAl for All Types of Devices, espEciAlLy thinner devICeS. Some of the DifFiculties witH JaVa reflEcTioN And seRiaLizatIon are THat an oBject's graPh (AN objecT'S transiTIVe ClosUre) reflection is diFFiCUlt to do outside The JVM. seRIaLIZatIon Is too large, ReQuiriNG a large AMoUNT Of cODe. Also, serialiZation is a JaVA spEcific ObJecT IntercHange FoRMat And thus may nOt be Used with nOn-Java DEvices.
THE Jini diStribuTed ComPutiNG mOdEl rEqUIreS ThE moVEmeNt of Java ObJeCts beTweeN jAVA devIceS. ThuS, the sErialization mEchAnisM ItsElf is Not plAtfoRm IndepEndent Since It May not be used by nOn-JaVa platforMs tO sEnd AnD receIVe objeCts. serIalizatIon is a hOMogEnOUS ObJect format—it only woRkS ON JAva platfOrms. SeRIaLiZAtion useS tHe rEfleCTIon APi and MAy Be limiteD by secURiTy ConcernS, wHich ofTeN muSt bE addrESsed Using nAtive JVM DepenDEnt methods. The rEFlection API maY PrOVIdE A graPh oF objects, but Is inEFficIent DUe To tHE numbEr of cAlLS bETween the JVM and the coDe CallinG the rEflection methOds.
The use oF jAVa reflecTion TO sERialize an objecT requIres an applICation to Ping pOng in and Out of the Jvm To pick apArt An oBjeCt oNE FiEld at a time as tHE TranSiTive cloSurE of the oBjeCt iS dyNamIcAlly analyZed. DeserIaLiZiNg An oBject USing Java DeSerIaLizAtion REquireS the aPpliCaTiON to Work cloSElY WIth tHe jVm to rEcoNsTitutE the OBjeCt one fiEld at a timE as THe trAnSiTive cloSure of the objeCt Is dynamicaLlY anAlyzed. tHUs, Java seRialization/deserializatIOn is sloW anD cumbErsoMe while alSo rEquiriNg lARge amoUnts of AppliCaTioN ANd JVM CODe As wElL as persistENT stOrage SpAce.
EVen for tHin clients that do suPPorT Java, the Jini RmI mAy noT BE pRacTIcAL foR tHIn cLIEnts with minimal Memory footPrINtS and minimaL BanDwIdth. The SerialiZatioN AssociaTed with thE Jini RMI iS sLow, bIG, ReqUires the JVm reflectIon API, and IS a JavA SpEcifiC obJect rePrEseNtatiOn. Java DEseRialiZation Is Also slOw, big AnD requireS a serialized-object parseR. Even JAva baSed Thin clienTs mAY noT be able to AccePt huge Java ObjEctS (alonG wiTH needEd clASsEs) bEIng reTurnED (necessarILy) AcrOSS tHe network to THE CliEnt as ReqUIred in jini. a more scalable distRIbuted computinG mecHANisM is NEedeD. IT may be desirablE foR a MORe scalabLe Distributed ComputinG mEChaniSm to adDress sEcurity CONcERns and Be exPanDable to alLow FoR The passInG oF ObjectS, sucH aS Java oBjects, ANd evEN To allow for procesS migrATIon
 graph, pulling it apart,and ultima telymus t c al l up on t he JVM. Tradit i onal  serialization and ref lecti on mech a ni sms f or stor i ng a ndmo vi ngJa v aobjec tsare jus t not prac tic al  for all typ e sof devices , e specially th inn er dev ic es. Someofthe d ifficu l ties w ith Javare f lectio n  and se r i al izat ion are that an o b je c t's graph (anobject 's tr a n sit ive  closure)re flect i on is d i ff i c u ltt o do outsidethe JVM. Se r ial izatio nist oo lar ge, r eq u iri ng a largeamou nt of cod e. Als o , seria l ization  is aJav a s peci f ic  o bje ct int e rc han g e f ormat an dth us ma y no t b e  use d w ithnon-J ava devices.The  Jin i  di strib utedcomp ut ing m odel r equir es  the movement o f Ja va object s b et wee nJavad evices . T hus , the s erializ a tio nm e c ha nism itself is not  p l a tf orm inde penden t  s in c e it may  n otbe u s e d bynon- J av a platfo rms to se nd  and re ce ive ob je cts . S erial i zati on isa homoge nouso bject format—i t  only works o n  J a v ap latf orm s. Serializ atio n  use s th e  r efl e ction  APIan d  m a y be limited by sec ur ity co ncern s, which ofte n must bea d d ressed u sing na t ive JVM depend ent m ethods. Th e  reflect ion A PI may p rovide ag r aph of o bje cts , b uti s  i nefficient du e to t he  number  of  callsbet wee n t heJV M and the  code ca ll in gth e r eflec t ion meth od s.Th e u se of Java r eflec tion  t os eri alize a n  o b j ectre qu ires  an  a pplic atio n  to  ping p ong in an d o u t of  t he  JVM to  pick apart a nobject one  f iel d at a t ime as t he transitive closure o f  the ob jec t isdyna mically a nal yzed.Des e rializ ing an  obje ct  us i n g Jav a de ser ia lization r e q uir es th eappl ication  to work closely w i ththe JVM to re con stit u t ethe ob j ect  o n e f i e ld at a time as  the trans it i ve  closure o f  th eobjectis dyna mical l y analy zed. Thus , Java se ri aliz a t ion /deseriali zation i s slow an d  cumb e rs ome w hil e also  r equ iring  large amo untsof app li cation  andJV M code a s well as persistent st oragespace .
E ven for t hin cli ents that  dosupport Ja va,  th e Jin i R M I may  not be  pr a ctica l fo r  thin cli e nt s w i t hminimal mem o r y  fo otpri nts and mi nima l bandwidth. Thes erialization a ssoc i a ted  wi t h th eJini RMI is sl ow,  b i g , requir es  the JVM re flection  A P I, an d is a  Javaspecifi c ob j ect re pres ent ation. Ja vade s erializ at io n  is al so s lo w, big  and r e quir e s  a serialized-ob jectp a rser. Eve n Jav abased t h in c lients may  not be abl e to a ccep t hug e Javaob jects(al on g with nee d ed classe s) be ing ret ur ned(ne cessar ily) a cross  the  n etw ork to th e cl i en ta s r equi red i nJini . A mores calabledis t ributed  c omp u t ing me c ha n i sm is need ed.  It m a y  be desira b le f o ra  more  scala ble di stribut e d c om putingmec h a nism to a ddress se c uri ty  con cerns an dbe e xp and ab le to allow for  the pas sing ofo b jects,  su c h as Java o bj ects, and ev en to  a l low for p roc ess mig r ati on
 graph,_pulling it_apart, and ultimately must_call upon_the_JVM. Traditional_serialization_and reflection mechanisms_for storing and_moving Java objects are_just not practical_for_all types of devices, especially thinner devices. Some of the difficulties with Java reflection_and_serialization are_that_an_object's graph (an object's transitive_closure) reflection is difficult to_do outside_the JVM. Serialization is too large, requiring a_large_amount of code._Also, serialization is a Java specific object interchange format_and thus may not be used_with non-Java devices.
The_Jini_distributed_computing model requires the_movement of Java objects between Java_devices. Thus, the serialization mechanism itself_is not platform independent since it may_not be used by non-Java platforms_to send and receive objects._Serialization is_a homogenous object format—it only_works on Java_platforms. Serialization_uses the reflection_API and may be limited by_security concerns, which_often must be addressed using native_JVM_dependent methods. The_reflection_API_may provide_a graph of_objects,_but is_inefficient_due to the number of calls_between_the JVM and the code calling the_reflection methods.
The use of_Java_reflection to serialize an_object requires an application to_ping pong in and out of_the JVM_to pick_apart an object one field at a time as the transitive_closure of the object is dynamically_analyzed. Deserializing an object_using Java_deserialization_requires the application_to_work closely_with the JVM to reconstitute the object_one field_at a time as the transitive_closure of the object_is_dynamically analyzed. Thus, Java serialization/deserialization is_slow and cumbersome while also requiring_large amounts of application and_JVM_code_as well as persistent storage_space.
Even for thin clients that do_support Java, the_Jini RMI may not be practical for_thin_clients with minimal memory footprints and_minimal_bandwidth. The serialization associated with the_Jini_RMI_is slow, big, requires the_JVM reflection API, and is a_Java specific object representation. Java deserialization is also slow,_big and requires_a serialized-object parser. Even Java_based_thin_clients may not be able to accept huge Java objects_(along with_needed classes) being_returned (necessarily) across the network to the client as required_in Jini. A more scalable distributed computing_mechanism is needed. It may be desirable for a more scalable_distributed computing mechanism to address security concerns and_be expandable to allow for the passing_of objects, such as_Java_objects, and even to allow for process_migration