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Dependability model of services computing systems
Adellina A.R.a, Suhardia, Kurniawan N.B.a, Sembiring J.a
a School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, Indonesia
[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]© 2017 IEEE.Services computing systems were categorized as a new terminology in services computing. Research in the services computing systems was still limited so far. Previous studies inform that modeling and measurement of system ability in dependable computing have been conducted even before 2004, but only several publications specifically discussed ability measurement of services computing and/or services computing systems. One of the systems characters introduced by the researchers is dependability. Dependability was defined as the ability to avoid service failures. This paper identifies potential future research, offers an approach for a better understanding in services computing systems dependability as a basis for its measurement framework and also proposes the initial idea for modeling the dependability-aware dynamic reconfiguration in 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=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]dependability,Dependability modeling,Dependable computing,Dynamic re-configuration,Modeling and measurement,Service failure,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]dependability,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]The synthesis result from the SLR work delivered the knowledge that SC was supported by the main technology i.e web service and service-oriented architecture (SOA). The scope of SC research consists of business consulting methodology and utilities, business process modeling (BPM), transformation and integration, web service, service delivery and management, and service composition as the main approach for software development. Basic ideas in SC were service-oriented software analysis and design principles [4][29]. Thus, Service-oriented architecture (SOA) and cloud computing system was considered as the realization of SCS.[/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/10.1109/ICEEI.2017.8312433[/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]