BPO and Cloud Computing (case study) Case Study

BPO and Cloud Computing ( ) - Case Study Example These applications range from external e commerce and business to business application to internal financial and human resources. An enterprise can have one or more than one data centers. The benefits of the data centers includes supporting business operations round the clock, rapid deployment of applications and consolidation of computing resources and maintenance for sustaining business functions. Enterprises make special arrangement of both the facilities that house the equipment and personnel required for such an operation. These facilities support high concentration of network infrastructure and server resources. A data center is based on the availability of power capacity, cabling, cooling capacity, temperature and humidity control, physical security like restricted access and surveillance systems, fire and smoke systems, rack space and raised floor. Data centers support high speed communication between servers, storage and devices of storage (Arregoces & Portolani, 2004, P.21) . It also increases the availability of mirroring, clustering and replication between database systems and storage devices. These facilities helps in storing the data in multiple locations thus lowering the chances of site failure that prevents chances of normal system operations. Site failures are recovered by the replica of data at different sites thereby creating the need for distributed data centers, distributed server firms and obvious transport technologies for enabling communication between them. Data centers can be local as well as one that is located overseas. A local data center does not rely on connectivity over the internet and therefore negates a possible failure point. Local data collection, correlation and processing are easier with local data centers. Corrective actions can be immediately taken to fix problems. The closer the management components are to the source of the problems, the3 more independent the firms can be for supporting their infrastructure. Corrective management activities can be taken even if the network to the management server is down. Continuous and autonomous monitoring is possible with the help of local data centers. A local database has access to all data sources which are not remotely accessible. In addition to remote interfaces like SNMP, scripting, WMI, the local data centers also have sensors for log files, discovery information, performance data sources- basically anything that is available locally. A local data centre can perform correlation which helps in reducing flood of data into meaningful set of events. Instead of sending thousand log file records over the network to the server for analysis, local data centers filters out extraneous information and allows important problems to be sent to a centralized event console. It helps in reducing false alarms and increases the productivity and efficiency as short term peeks are ignored and no time is spent in dealing with false alarms. It also helps in suppressing dupli cate events that is based on time interval, count of similar events or both. Identical messages that occur within a very short period of time are suppressed and the first event is only forwarded to management server (Murugesan & Gangadharan, 2012, P. 21). Local actions can be executed without the intervention from the management server. The disadvantage of local data center is that keeping each client side database in sync is very difficult. Programming, administration and maintenance of data become nearly impossible. Data integrity, security, data