Many changes have been occurrence in information Technology in the current century. but the great changes are associated with cloud computing. Cloud computing provides services for many users thus when traffic increases, cloud may be instable and may be unsecure. This paper attempt to find an intelligent system to improve stability and security by using genetic algorithm to calculate trusted and untrusted users from the specific list that register users behavior and service: IAAS , PAAS and SAAS .All information have been sent to intelligent firewall (GA firewall) as a first step to save cloud from attack and then distribute all the requests which depend on its types by using Round Robin scheduler algorithm to process the request. Implantation of system has shom good and encouraging result. Key word: Cloud Computing, Schedule Process, Intelligent Management الﻲﻐﺗ ير ﻦﻜﻟو ﻲﻟﺎﺤﻟا نﺮﻘﻟا ﻞﻟﺎﺧ تﺎﻣﻮﻠﻌﻤﻟا ﻮﻨﻜﺗلوجيا ﺺﻠﺨﺘﺴﻤﻟا لقد حﺖﺛد الﺪﻋيد ﻦﻣ الﻲﻐﺗ رات في الﻲﺒﻛ رة يوﻒﺻ ﻊﻣ الﺐﺳﻮﺣ ة اﺲﻟحاﻲﺑة. اﻲﺘﻟ توفر ﺪﺧمة لﻲﺜﻛ ر من المﺖﺳخدﻦﯿﻣ وبالتاﻲﻟ عندما تزيد حكرة المورر سحابة قد تكنو غير مﺖﺳقرة وقد تﻮﻛن غير آمنة, ﻲﻓ ههذ الورقة محاولة ﻲﻟإ جاد نظام ذﻲﻛ لﻲﺴﺤﺗ ن ااﺖﺴﻟ قرار اولأﻦﻣ بﺖﺳا خدام الﻮﺧارزمية الجﻲﻨﯾ ة لﺲﺣاب المﺖﺳخدمين IAAS , ﺲﺗجل المﺖﺳخمد وسلكوة ضﻦﻣ الخدمة الموثقو بﻢھ وﻲﻏر الموثقو بهم ﻦﻣ قائمة وهي خﻮطة أولى لحفظ لجدار الحماية الذكية . ,SAAS PAAS ﻞﺳﺮﺗ تﺎﻣﻮﻠﻌﻤﻟا ﻊﯿﻤﺟ الخدمة باستخدام خوارزمية جودلة عﻮﻧ الطلبتا اﺖﻋمعادا لى سحابة من الهجمو ثم توزع ﻲﺸﺗ ر إﻰﻟ نﻲﺗجة جيةد ﺪﺟا. ﺖﺑنفيذ النظام ﻦﺑور لمعالجة الطلبتا . ϟة اϴϠϛ ةϠΠϣ ϥϮϣأϤ عددϟا ϭ ϲϧاΜϟا ϥϮΛϼΜϟا ́˻˹˺ 1-Introduction Cloud Computing is defined a convincing worldview for overseeing and conveying administrations over the web. The ascent of Cloud Computing is quickly changing the scene of informatio n technology and etc. Many research es on cloud management and idea s for intelligent management[1], the main objective is to improve stability and security in all time of system online. Paper layout as is follos, section 2 cloud computing, section 3 intelligent management system, section 4 experimental result and section 5 conclusion 2-Cloud computing The dynamic scalable and virtualized resources provider for services over the Internet become a significant technology trend, and many experts exp ect that cloud computing will reshape Information Technology (IT) processes and the IT marketplace.. [1][2] 2-1- Cloud Management Cloud management and automation tools are coming into the market specifically to address these pain points ; it enable s the users and administrators to assemble and directly manage cloud service environments as shown in figure 1.[2][3] [4][5] Figure 1: Cloud Computing Management [3][4] ϟة اϴϠϛ ةϠΠϣ ϥϮϣأϤ عددϟا ϭ ϲϧاΜϟا ϥϮΛϼΜϟا ́˻˹˺ Cloud management refers to cloud computing products and services . Public clouds are managed by public cloud service providers, the environment of public cloud content servers, storage, networking and da ta center operations [2][6] . Public cloud user select service from three basic categories: x User self -provisioning: (user/ clients) buy cloud services directly from the supplier through a web (form or console) interface. The user pays on a per -transaction basis. x Advance provisioning: (user/ clients) contract in advance a predetermined amount of resources," which are prepared in advance of service. The customer pays a flat fee or a monthly fee". x Dynamic provisioning: when the (user/ client) needs resources provider allocates, he decommissions them when they are no longer needed. The customer is charged on a pay -per-use basis . [3][6][7] Administration apparatuses for private mists have a tendency to be benefit driven, instead of asset driven, in light of the fact that cloud conditions are regularly very virtualized and composed regarding compact workloads[ 8]. In half breed cloud conditions , process, system and capacity assets must be overseen over different spaces, so a decent administration methodology should begin by characterizing what should be overseen, and where and how to do it[2][7] [9]. Strategies to help represent these areas ought to incorporate design and establishment of pictures, get to control, and planning and reporting ing. Access control regularly incorporates the utilization of Single sign -on (SSO), in which a client sign in once and accesses all frameworks without being in cited to sign in again at each of them . [3][7][9] ϟة اϴϠϛ ةϠΠϣ ϥϮϣأϤ عددϟا ϭ ϲϧاΜϟا ϥϮΛϼΜϟا ́˻˹˺ 2-2- System Stability Factor When the system provide s service without any delay of failure that refer to system stable and that many factor must exist such as: 1- The bility to improve control on resource and managing it without any problem. 2- Define re -ability rule for system . 3- Automatically correct error by defining safe mode for most expected error occurrence. 4- The bility to shutdown system if any "internal or external " event ( effect ) impales to system service failure "unable to provide service with stabile cas e" can't be correct ed automatically . And many factor s can be define d and depend on system function, activity , service type that are provided (or needed by clien t) within crowding time [3][10] 2-3- Stability And Security Cloud is described stable when it process es all job s with an active queue without any crash [10]. Security of cloud refers to marriage between ' technologies and policies 'to protect information, data applications and infrastructure associated with cloud computing use.[11] Any system if stable must be secure while it is design ed to be a secure system. [3][12] [13] 2-4- Scheduling Algorithm and Stability Cloud computing work s as virtual resources provider for multi user with random selection for whom they need service . Thus to improve stability must use scheduler algorithm to avoid instability , it of system with crowded case . [3][12][13] ϟة اϴϠϛ ةϠΠϣ ϥϮϣأϤ عددϟا ϭ ϲϧاΜϟا ϥϮΛϼΜϟا ́˻˹˺ 2-5 Intelligent Management The process of managing and organizing the various sources collection of intelligence is a . basic validation of what it collects, but is not supposed to analyze its significance represent to the collection department of an intelligence organization. [14] The set of processes and underlying technology solutions that enable organizations to understand, organize and manage all sorts of datat ypes (e.g., general files, databases and e - mails) Intelligent Information Management (IIM) include s: 1- Automated patching 2- Infrastructure database 3- Integrated IP device discovery 4- Alarms and events 5- Integration with third party applications 6- Data sharing. [3][13][15][16][17] 3-Intelligent Management System This section explains main engine that process es request from e -environment .The following figure (2) illustrates the main item of candidate system with its main scope: 1-Reading request from e -environment and queue form inserting. 2-Fetching query to GA . 3-Operate ing GA firewall to improve security polices remove and to special queue all unlike process depend on fitness value 4-distributed depend on service 5-Using Round Robin Algorithm as scheduler tools ϟة اϴϠϛ ةϠΠϣ ϥϮϣأϤ عددϟا ϭ ϲϧاΜϟا ϥϮΛϼΜϟا ́˻˹˺ Figure 2: candidate system 3.1. Genetic Algorithm Coding And Firewall Log Record Design This section give s an overview of all term s existing in the firewall reco rd and yes marks to all term s need ed with a proposal design shown in table 1 below. Table 1 Firewall Record Term s Term Needed in Activities Time Yes 4 bit Action Firewall ----- Interface -------- Product -------- l Source Yes 32 bit Source Port -------- Destination Yes 32 bit Service ------ Protocol TCP Translation ------ SAAS Firewall IAAS FirewallPAA S Firewal l Distributes request depend on service type Request from environment GA Firewall 1,2,3 operate R.R. algorithm afyter classifier servic e without contiguous same IP ϟة اϴϠϛ ةϠΠϣ ϥϮϣأϤ عددϟا ϭ ϲϧاΜϟا ϥϮΛϼΜϟا ́˻˹˺ Byte send Yes Depend on 3.1.1 Converting Log To Genetic Chromosome To convert firewall record as chromosome in general , it must select one or more term s as demonstrated in section 3.1. Table 2 gives an example of converting value s.Thus need s 4bit for time , 64 bit for Source and destination and final 4 bit need 72 bit to represent log record . Table 2 Convert Example - Within a manage based framework, the tenets put away in the govern base are generally in the accompanying structure: if <condition> then <action> as it is shown in this stuely case : - On the off chance that {the association has taking after data: source IP is 209.11.1.155; goal IP address: 109.1.1.17 ~ 109.1.1.21; goal port number: 8184; the convention utilized is FTP; the originator sent more than 10,000 bytes of information; and the responder sent more than 250,000 bytes of data } then {stop the connection} 3.1.2 Fitness Function The goal is to avoid intrusion to network from any outside attack as shown in algorithm below: Algorithm 1 Term Needed activity As record Binary value Time Yes 12:00 1100 Source Yes 148:22:118:80 10010100000101100111011001010000 Destination Yes 126:15:106:73 01111110000011110110101001001001 Protocol TCP Byte send Yes 4 bit ϟة اϴϠϛ ةϠΠϣ ϥϮϣأϤ عددϟا ϭ ϲϧاΜϟا ϥϮΛϼΜϟا ́˻˹˺ rem using IP length =32bit (binary convert)= chromosome - 4bit Chromosome 36 bit thus - 4 bit rem fitness 30 -1 refers to max value (block IP) 1-loop x Check I/O port per time x If IP[current] throughput > max_value then Fitness[current]++ 2- until I/O port off 3.2. Management with( Genetic and Round Robin heduling ) The main item of algorithm is how to schedule request s ZLWKRXW aQ\ GHaGORFN "GRQ¶W JXLGH V\VWHP WR critical(instability) regain " Thus using slice time with download control cover by genetic firewall is to improve stability and security as shown with the algorithm bellow : Algori thm 2 1-Start 2-Loop -Read request from environment -Feching request after GA firewall pass check with download / upload control if pass then start with slice time 3-Until no request 4-End 4-Experimental Result Running of simulated system with Genetic feature ( in traffic mode) save s the following value s from system with fitness . The following chart gives a sample fragment view , shown in table 3 ,where as . ϟة اϴϠϛ ةϠΠϣ ϥϮϣأϤ عددϟا ϭ ϲϧاΜϟا ϥϮΛϼΜϟا ́˻˹˺ X axis = 1.. 75 sequence of IP and Y axis = 1..25 fitness value (threat degree) if fitness value [current IP] = 29 ´30-1´ (max threat ) then put in critical queue IP[current],"using slice time schedule algorithm " Where current= current I/O value Figure 3 illustrate s Segment of Result s in Table 3 Figure 3 : Carve From table 3 Result Table 3 Segment of Result From System address Ip with Binary represent Result 189:108:93:214 10111101011011000101110111010110 19 185:148:230:169 10111001100101001110011010101001 8 182:51:165:56 10110110001100111010010100111000 3 187:68:150:101 10111011010001001001011001100101 12 195:130:156:137 11000011100000101001110010001001 8 192:65:163:63 11000000010000011010001100111111 18 176:88:123:184 10110000010110000111101110111000 13 0 5 10 15 20 25 30 1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 61 65 69 73 IP/ Result Series1 ϟة اϴϠϛ ةϠΠϣ ϥϮϣأϤ عددϟا ϭ ϲϧاΜϟا ϥϮΛϼΜϟا ́˻˹˺ 176:84:142:127 10110000010101001000111001111111 23 178:122:232:111 10110010011110101110100001101111 9 173:130:200:208 10101101100000101100100011010000 16 195:124:131:163 11000011011111001000001110100011 10 183:97:184:203 10110111011000011011100011001011 22 190:60:132:108 10111110001111001000010001101100 17 189:142:60:175 10111101100011100011110010101111 21 172:66:161:218 10101100010000101010000111011010 1 186:45:139:139 10111010001011011000101110001011 2 189:34:184:205 10111101001000101011100011001101 1 193:38:220:96 11000001001001101101110001100000 12 189:44:145:120 10111101001011001001000101111000 5 186:163:67:155 10111010101000110100001110011011 21 185:178:209:128 10111001101100101101000110000000 15 174:105:153:190 10101110011010011001100110111110 23 174:72:90:89 10101110010010000101101001011001 10 192:169:46:168 11000000101010010010111010101000 17 194:59:86:102 11000010001110110101011001100110 16 188:170:191:134 10111100101010101011111110000110 20 176:116:58:80 10110000011101000011101001010000 22 182:42:101:204 10110110001010100110010111001100 22 181:108:185:98 10110101011011001011100101100010 24 179:142:50:155 10110011100011100011001010011011 12 179:59:141:82 10110011001110111000110101010010 3 180:113:166:156 10110100011100011010011010011100 14 175:94:147:158 10101111010111101001001110011110 11 177:51:173:186 10110001001100111010110110111010 19 184:159:35:200 10111000100111110010001111001000 20 180:81:94:118 10110100010100010101111001110110 23 178:88:173:81 10110010010110001010110101010001 24 185:78:107:80 10111001010011100110101101010000 6 183:34:230:165 10110111001000101110011010100101 3 192:124:123:181 11000000011111000111101110110101 8 186:117:99:105 10111010011101010110001101101001 13 172:70:194:74 10101100010001101100001001001010 16 178:119:198:157 10110010011101111100011010011101 15 182:147:177:70 10110110100100111011000101000110 22 173:55:51:101 10101101001101110011001101100101 22 189:42:54:95 10111101001010100011011001011111 7 181:171:81:212 10110101101010110101000111010100 5 181:108:95:222 10110101011011000101111111011110 14 193:152:214:161 11000001100110001101011010100001 9 187:61:177:126 10111011001111011011000101111110 15 193:161:175:76 11000001101000011010111101001100 13 ϟة اϴϠϛ ةϠΠϣ ϥϮϣأϤ عددϟا ϭ ϲϧاΜϟا ϥϮΛϼΜϟا ́˻˹˺ 180:36:224:185 10110100001001001110000010111001 23 194:136:227:72 11000010100010001110001101001000 7 193:118:97:207 11000001011101100110000111001111 10 185:149:120:192 10111001100101010111100011000000 7 186:42:203:198 10111010001010101100101111000110 20 172:177:116:205 10101100101100010111010011001101 13 182:82:147:164 10110110010100101001001110100100 23 180:84:141:184 10110100010101001000110110111000 19 176:105:204:87 10110000011010011100110001010111 10 184:76:215:55 10111000010011001101011100110111 7 173:54:207:185 10101101001101101100111110111001 14 183:136:171:238 10110111100010001010101111101110 10 175:175:122:186 10101111101011110111101010111010 16 184:50:68:152 10111000001100100100010010011000 15 177:101:167:53 10110001011001011010011100110101 19 174:154:103:194 10101110100110100110011111000010 24 179:171:88:239 10110011101010110101100011101111 8 186:43:93:75 10111010001010110101110101001011 5 184:168:101:200 10111000101010000110010111001000 15 186:152:60:122 10111010100110000011110001111010 10 187:147:79:64 10111011100100110100111101000000 20 190:84:182:208 10111110010101001011011011010000 11 192:92:150:157 11000000010111001001011010011101 4 189:46:81:113 10111101001011100101000101110001 22 5- Conclusion 1. Results obtained give good indication (test with simulated environment of real world). 2. While traffic increase , attaching attack more easier 3. Any change in fitness give s a new feature to system (the current fitness may be better). 4. improve security with slice time scheduler for process ϟة اϴϠϛ ةϠΠϣ ϥϮϣأϤ عددϟا ϭ ϲϧاΜϟا ϥϮΛϼΜϟا ́˻˹˺