“…One company's cost comparison, for example, estimated that the cost of storing one terabyte for a year was $37,000 for a traditional relational database, $5,000 for a database appliance, and only $2,000 for a Hadoop cluster.1 Of course, these figures are not directly comparable, in that the more traditional technologies may be somewhat more reliable and easily managed. Data security approaches, for example, are not yet fully developed in the Hadoop cluster environment [8].…”
This paper is an effort to present the basic understanding of BIG DATA is and it's usefulness to an organization from the performance perspective. Along-with the introduction of BIG DATA, the important parameters and attributes that make this emerging concept attractive to organizations has been highlighted. The paper also evaluates the difference in the challenges faced by a small organization as compared to a medium or large scale operation and therefore the differences in their approach and treatment of BIG DATA. A number of application examples of implementation of BIG DATA across industries varying in strategy, product and processes have been presented. The second part of the paper deals with the technology aspects of BIG DATA for it's implementation in organizations. Since HADOOP has emerged as a popular tool for BIG DATA implementation, the paper deals with the overall architecture of HADOOP alongwith the details of it's various components. Further each of the components of the architecture has been taken up and described in detail.
“…One company's cost comparison, for example, estimated that the cost of storing one terabyte for a year was $37,000 for a traditional relational database, $5,000 for a database appliance, and only $2,000 for a Hadoop cluster.1 Of course, these figures are not directly comparable, in that the more traditional technologies may be somewhat more reliable and easily managed. Data security approaches, for example, are not yet fully developed in the Hadoop cluster environment [8].…”
This paper is an effort to present the basic understanding of BIG DATA is and it's usefulness to an organization from the performance perspective. Along-with the introduction of BIG DATA, the important parameters and attributes that make this emerging concept attractive to organizations has been highlighted. The paper also evaluates the difference in the challenges faced by a small organization as compared to a medium or large scale operation and therefore the differences in their approach and treatment of BIG DATA. A number of application examples of implementation of BIG DATA across industries varying in strategy, product and processes have been presented. The second part of the paper deals with the technology aspects of BIG DATA for it's implementation in organizations. Since HADOOP has emerged as a popular tool for BIG DATA implementation, the paper deals with the overall architecture of HADOOP alongwith the details of it's various components. Further each of the components of the architecture has been taken up and described in detail.
“…Adaptive SOA Solution Stack (AS3) proposes a policy-driven system adaptation which also supports cross-layer adaptation [21]. In addition to adaptation strategies, AS3 also deals with the problem of extending various S3 layers with adaptability mechanisms.…”
Section: Adaptive Soa Solution Stackmentioning
confidence: 99%
“…Business processes play a vital role in Service Oriented Architecture (SOA) [6], which is one of the most important paradigms for implementing enterprise software systems [21]. The Open Group's SOA Reference Architecture and IBM SOA Solution Stack (S3) model [2] places the business process layer near the top of the stack.…”
Section: Introductionmentioning
confidence: 99%
“…The proposed system is based on an Adaptive SOA [21] stack and inherits many of its valuable properties. These include an event-driven approach to data propagation as well as OSGiMM -a scalable and efficient communication backbone for system components that operate in distributed mode using OSGi containers.…”
Executable business processes that formally describe company activities are well placed in the SOA environment, as they allow for the declarative organization of high-level system logic.
“…The SOA Solution Stack (S3) [3,10] proposed by IBM elaborates the process of SOA applications development and deployment. The S3 model presented in Figure 2 provides a detailed description of architectural elements divided into nine layers.…”
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