April - June 2007 - Kasetsart University

More documents

Recommendations

Info

396 Grid computing (Foster et al., 2002) focuses on integrating geographically distributed resources into a unified system. Grid computing provides concept of Virtual Organization (VO) which is an integrated resources shared by real organizations, and it also has a well-defined architecture, services and protocols such as resource discovery, job submission, system monitoring and accounting, which are good patterns for designing and developing the utility computing system. The most well-known project in this area is Globus (The Globus Alliance, 2005a). Peer-to-Peer (P2P) computing is a class of applications that takes advantage of resources such as storage, CPU cycles, and content that are available on the Internet. There are two major categories of P2P system, P2P networking (file sharing) and P2P computing (CPU sharing), The P2P networking is a communication model in which each node (peer) has the same capabilities and either node can directly initiate a communication session. The P2P computing is a processing power sharing rather than a files sharing. Volunteer computing (Sarmenta, 2001) focuses on making computers to be a part of metacomputer dynamically when computing power is available. The topology of volunteer computing is usually similar to the third generation of peer-to-peer computing. The peer can be both client, who submits jobs to server (super-peer), and can be worker who dedicates itself to execute jobs. This includes system such as SETI@home (Anderson et al., 2002), Bayanihan (Sarmenta et al., 2002), and Alchemi (Luther, 2005). In this paper, we present a design and implementation of a framework called OpenUCI (Open Utility Computing Infrastructure) which is for constructing the utility computing infrastructure from Windows-based personal computers, because the most of computers in the organization are Windows-based operating system <strong>Kasetsart</strong> J. (Nat. Sci.) 41(2) and the most of users are familiar to Windows. To solve the resource virtualization and resource provisioning problems, OpenUCI framework provides many services such as resource collecting, resource monitoring, resource discovering, resource invocation, and etc. In addition, we use Microsoft’s .NET technology for implementing the OpenUCI system because it provides a powerful and comfortable development environment and it also provides ASP.NET Web service, a standard way for communication between systems. So, we can ensure that all OpenUCI’s components can work together and can communicate to other systems seamlessly. MATERIALS AND METHODS 1. Hardware and software requirements This paper develops and tests a framework on Windows-based system. The computers used in this development comprise one manager node, 32 worker nodes, and one user node. All nodes are connected with Fast Ethernet switch. The system configuration is shown in Figure 2. The software for developing and testing the framework is as follows: • Microsoft Windows Server 2003 • Microsoft Windows XP Professional • .NET framework redistributed 1.1 and 2.0 • Microsoft Visual Studio .NET 2003 and 2005 Figure 2 The windows cluster.
2. Framework architecture and components In this paper, utility service is a function provided by any computers. The utility service must depand on the Service Oriented Architecture (SOA) technology such as .NET web services, and Grid services. The example of utility service is such web service for calculating risk of trading stock (VaR) (Rojanapanpat et al., 2005). The resource is an entity shared by a computer and can be computing power (CPU), storage, files and utility services. According to the utility computing system development problems mentioned before, Resources Virtualization and Resources Provisioning, the proposed framework, OpenUCI, must be designed to solve these problems. To deal with Resources Virtualization problem, OpenUCI must have mechanism to support the dynamism, heterogeneity, scalability, interoperability of resources. The mechanisms are such resource collecting for gathering resources and track its status, resource discovery used to find and select the resources, resource accessing which defines a unite way to use and interoperate resources and etc. In the Resources Provisioning problem, OpenUCI must provide mechanisms for creating virtual computing environments that can be automatically adjustable depending on demand of users. Moreover, OpenUCI must provide userfriendly interfaces and tools using OpenUCI system and accessay resources to users. The architecture of the OpenUCI framework is shown in Figure 3. There are four layers of the OpenUCI framework, i.e. resources, .NET platform, core services, and applications. 2.1 Resources layer Resources layer is the layer of shared resources distributed on the network. The shared resources consist of CPU, storage and utility services. 2.2 .NET platform layer .NET platform layer provides a runtime <strong>Kasetsart</strong> J. (Nat. Sci.) 41(2) 397 environment, .NET framework, which OpenUCI system relies on. This layer also provides technologies for implementing OpenUCI system, and sharing resources. These technologies are .NET web services, .NET remoting and WSRF.NET. The resources can be shared via these technologies. 2.3 Core layer This layer provides a set of necessary services for building the utility computing infrastructure and supporting the basic functions of the application running on the utility computing infrastructure. The core services are classified into two groups according to our requirements. The core services that solve the resources virtualization problem consist of resource management service, data management service and execution management service. 1. Resources Management Service (RMS) is responsible for gathering resources distributed on the network and tracking the existence and status of resources. Moreover, RMS also provides mechanisms for resource discovery, resource reservation and etc. 2. Data Management Service (DMS) is responsible for transferring files and sharing files JOB MANAGEMENT RESOURCES MANAGEMENT .NET WEB SERVICES APPLICATIONS & TOOLS VIRTUAL COMPUTER MANAGEMENT RESOURCES PROVISIONING EXECUTION MANAGEMENT RESOURCES VIRTUALIZATION CORE SERVICES .NET WEB REMOTING .NET PLATFORM USER MANAGEMENT DATA MANAGEMENT WSRF .NET CPU STORAGE SERVICE RESOURCES Figure 3 The OpenUCI architecture.
Page 1 and 2:
April - June 2007 Volume 41 Number
Page 3 and 4:
KASETSART JOURNAL NATURAL SCIENCE T
Page 5 and 6:
Kasetsart J. (Nat. Sci.) 41 : 205 -
Page 7 and 8:
harvesting time which started from
Page 9 and 10:
y Chen and Paull (2000). Figure 1 a
Page 11 and 12:
pineapple fruit allowed the accumul
Page 13 and 14:
Page 15 and 16:
Kasetsart J. (Nat. Sci.) 41(2) 215
Page 17 and 18:
Cluster analysis Cluster analysis u
Page 19 and 20:
Page 21 and 22:
Table 3 (Continued) 1 2 3 4 5 6 7 8
Page 23 and 24:
Page 25 and 26:
CONCLUSION AFLP markers classified
Page 27 and 28:
Page 29 and 30:
difference of soil texture used in
Page 31 and 32:
under wet soil condition planting.
Page 33 and 34:
tropics. Following the expansion, w
Page 35 and 36:
sealed in a plastic box with 1 cm w
Page 37 and 38:
moisture content increment after so
Page 39 and 40:
Frequency Frequency 30 20 10 0 20.0
Page 41 and 42:
School, Kasetsart University. The a
Page 43 and 44:
for combining ability of lines (Lam
Page 45 and 46:
selective mass sibbing within indiv
Page 47 and 48:
Although most of S 2-interfamily hy
Page 49 and 50:
composite sets as used in this stud
Page 51 and 52:
Page 53 and 54:
days. The numbers of calli producin
Page 55 and 56:
the report of Ching (1982) showing
Page 57 and 58:
clearly amplified bands generated b
Page 59 and 60:
caused by either the recombination
Page 61 and 62:
Kuhlmann, V. and B. Foroughi-Wehr.
Page 63 and 64:
Xanthomonas fuscans subsp. aurantif
Page 65 and 66:
Page 67 and 68:
was collected and washed with 70% e
Page 69 and 70:
expected size was amplified with 35
Page 71 and 72:
eaction technique has been used for
Page 73 and 74:
Schaad, N.W., D. Opgenorth and P. G
Page 75 and 76:
MATERIALS AND METHODS Model descrip
Page 77 and 78:
Page 79 and 80:
calculated TF value calculated TF v
Page 81 and 82:
sincere gratitude and deep apprecia
Page 83 and 84:
1989). In monogastrics, the inclusi
Page 85 and 86:
of all LLS samples in this study we
Page 87 and 88:
Melbourne, Parkville, Victoria. Goe
Page 89 and 90:
considered responsible for low prod
Page 91 and 92:
Page 93 and 94:
mineral supplementation suggested b
Page 95 and 96:
Body weight chane (kg/head) 32 30 2
Page 97 and 98:
CONCLUSION AND RECOMMENDATION With
Page 99 and 100:
SAS. (Statistical Analysis System).
Page 101 and 102:
genes covering a variety of desirab
Page 103 and 104:
mg/l NAA and 0.5 mg/l zeatin) incub
Page 105 and 106:
5. Purification by various sucrose
Page 107 and 108:
as the culture period increased. So
Page 109 and 110:
culture, pp. 1-20. In L.C. Fowke an
Page 111 and 112:
Page 113 and 114:
GC. Analytical methods Total carboh
Page 115 and 116:
ash. The crude hot water polysaccha
Page 117 and 118:
spirulan (H-SP), and a desulfated c
Page 119 and 120:
Page 121 and 122:
cells often displayed an increased
Page 123 and 124:
LITERATURE CITED Bell, T.A. and D.V
Page 125 and 126:
for alternative sources of supply.
Page 127 and 128:
BR2.1.2 formed the same clade with
Page 129 and 130:
supplement with glutamate (Iida et
Page 131 and 132:
optimal for S. limacinum BR2.1.2 fo
Page 133 and 134:
fluorescent lamp at 1.5 kLux develo
Page 135 and 136:
Page 137 and 138:
Wisconsin, USA). Total extracted RN
Page 139 and 140:
RESULTS Cloning and sequencing of m
Page 141 and 142:
Expression of rmIL-2 and purificati
Page 143 and 144:
other strains of mice have differen
Page 145 and 146: dose interleukin-2 therapy promotes
Page 147 and 148: The chitosano-oligosaccharides are
Page 149 and 150: enzyme and cells were maximized by
Page 151 and 152: of crude chitosanases. Fortunately,
Page 153 and 154: Relative activity (%) 100 80 60 40
Page 155 and 156: Uchida, K. Tateishi, O. Shida and K
Page 157 and 158: MATERIALS AND METHODS 1. Materials
Page 159 and 160: without coating and coated with pec
Page 161 and 162: in Table 5-7. It was found that the
Page 163 and 164: Kasetsart J. (Nat. Sci.) 41 : 363 -
Page 165 and 166: the cultures at 10,200 × g for 15
Page 167 and 168: incubation and reached the final pH
Page 169 and 170: y lysine- and tyrosine-decarboxylas
Page 171 and 172: during the stages of ripening as su
Page 173 and 174: Kasetsart J. (Nat. Sci.) 41 : 373 -
Page 175 and 176: As the 25 companies were divided in
Page 177 and 178: All the data comes up with informat
Page 179 and 180: as piece “A” or straight as pie
Page 181 and 182: et al. (1998); Zeng (2000); and Tal
Page 183 and 184: p 1, i * Kasetsart J. (Nat. Sci.) 4
Page 185 and 186: c ≤ c2 jq2 j n q p k p * 2, j , ,
Page 187 and 188: algorithm would consider RM 5, prio
Page 189 and 190: Kasetsart J. (Nat. Sci.) 41(2) 389
Page 191 and 192: the maximum deviation of about 10%.
Page 193 and 194: Stock Quantities Using Heuristic Op
Page 195: which dynamically and automatically
Page 199 and 200: Risk (VaR) calculation which was im
Page 201 and 202: Throughput (job/sec) 7 6 5 4 3 2 1
Page 203 and 204: Speed up 40 35 30 25 20 15 10 5 0 F
Page 205 and 206: and discovery, resource selection a
show all

April - June 2007 - Kasetsart University

Create successful ePaper yourself

Delete template?

Save as template?