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A reference model of services computing systems platform based on meta-analysis technique
Kurniawan N.B.a, Suhardia, Arman A.A.a, Bandung Y.a, Yustianto P.b
a School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, Indonesia
b School of Information Technology, Deakin University, Geelong, Australia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2019, Springer-Verlag London Ltd., part of Springer Nature.The development of services computing systems requires an environment that supports service-oriented application development approach. The organized environment is referred to as platform in this paper. The lack of such generic platform is a challenge in the field. A reference model becomes a prerequisite for developing such platform in order to optimize the computing resources. This paper proposes a reference model of services computing systems platform based on the literature studies using a meta-analysis technique. The paper demonstrates a reference model development using the systematic meta-analysis technique to identify the required components of the platform and to examine the interaction between the components. Statistical tests are conducted to show the correlation between the components and to evaluate the proposed reference model. This study also discusses the different functions and areas for each layer of the proposed model. The contribution of this paper is a generic reference model of services computing systems platform based on meta-analysis technique that can be used as a guide to build the platform.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Computing resource,Generic platforms,Literature studies,Meta analysis,Platform,Reference modeling,Service oriented application,Services computing[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Meta-analysis,Platform,Reference model,Services computing,Services computing systems[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1007/s11761-018-00253-7[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]