Formulating Cost-Effective Monitoring Strategies for Service-Based Systems

He, Qiang; Han, Jun; Yang, Yun; Jin, Hai; Schneider, Jean-Guy; Versteeg, Steve

doi:10.1109/tse.2013.48

Cited by 29 publications

(6 citation statements)

References 53 publications

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“…Control and resource optimization according to the type of service provided is being managed by cloud systems as the performance is being monitored by IT experts hired by the service provider and web services constructing the consistent and loosely coupled architectures (He et al, 2014;Katsaros et al, 2012).…”

Section: Measured Servicementioning

confidence: 99%

Cloud Computing: Things to consider by Information Professionals (IP)

Yatin¹,

Alias²,

Awang³

et al. 2018

IJARPED

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Technology is fast growing and individuals are doing their best in order to catch up with this rapid growth. Those involved never failed to innovate and invent new technologies to be integrated with the current technologies. One of the innovations that technology has recently been presented is the phenomenon of cloud computing. Cloud computing provides almost all technological facilities needed in organizations at the cost of very less-skilled personal and computing devices. The essence of the concept of cloud computing is to provide end users with remote dynamic access to services, computing resources and applications which includes operating systems and infrastructure over the Internet. Cloud computing have three different service models which are Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). Cloud computing also has four different deployment models which are private cloud, community cloud, public cloud and hybrid cloud. Cloud computing could poses both opportunities and challenges for organizations and IP. An objective of this paper was to identify factors that could be consider for IP in adopting cloud computing.

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Section: Measured Servicementioning

confidence: 99%

Cloud Computing: Things to consider by Information Professionals (IP)

Yatin¹,

Alias²,

Awang³

et al. 2018

IJARPED

View full text Add to dashboard Cite

show abstract

“…These compositional structures are included in BPMN [35], and addressed by BPEL [34] -the de facto standard for specifying service-oriented business processes. They are also adopted in many other studies on SOS [5,16,50].…”

Section: Phase 1: Loop Peelingmentioning

confidence: 99%

“…However, monitoring itself may incur excessive costs [7], making it impractical to constantly monitor the entire SOS, especially in large-scale scenarios where the number of BCs of the SOS and the number of SOSs are big. To address this issue, we proposed CriMon in [16] for formulating cost-effective monitoring strategies that focus on the BCs on the critical path. However, what if an anomaly occurs in an unmonitored BC?…”

Section: Introductionmentioning

confidence: 99%

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Localizing Runtime Anomalies in Service-Oriented Systems

Xie

Wang

et al. 2017

IEEE Trans. Serv. Comput.

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In a distributed, dynamic and volatile operating environment, runtime anomalies occurring in service-oriented systems (SOSs) must be located and fixed in a timely manner in order to guarantee successful delivery of outcomes in response to user requests. Monitoring all component services constantly and inspecting the entire SOS upon a runtime anomaly are impractical due to excessive resource and time consumption required, especially in large-scale scenarios. We present a spectrum-based approach that goes through a five-phase process to quickly localize runtime anomalies occurring in SOSs based on end-to-end system delays. Upon runtime anomalies, our approach calculates the similarity coefficient for each basic component (BC) of the SOS to evaluate their suspiciousness of being faulty. Our approach also calculates the delay coefficients to evaluate each BC's contribution to the severity of the end-to-end system delays. Finally, the BCs are ranked by their similarity coefficient scores and delay coefficient scores to determine the order of them being inspected. Extensive experiments are conducted to evaluate the effectiveness and efficiency of the proposed approach. The results indicate that our approach significantly outperforms random inspection and the popular Ochiai-based inspection in localizing single and multiple runtime anomalies effectively. Thus, our approach can help save time and effort for localizing runtime anomalies occuring in SOSs.

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“…• Scalability it provides the salability and elasticity via dynamic provisioning of resources on a fine-grained, self-service basis near real-time [30,31], without users having to engineer for peak loads [32][33][34]. • Performance it is monitored, and consistent and loosely coupled architectures are constructed using web services as the system interface [35,36]. • Maintenance it is easier, because they do not need to be installed on each user's computer and can be accessed from different places.…”

Section: Cloud Computingmentioning

confidence: 99%

A Hybrid Multi-Criteria Decision-Making Model for a Cloud Service Selection Problem Using BSC, Fuzzy Delphi Method and Fuzzy AHP

Lee

Seo

2015

Wireless Pers Commun

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In rapid changing the global business environment, information communication technology (ICT) is essential for the survival of a firm, and the functions of ICT is becoming increasingly important. The emergence of cloud computing represents a fundamental change of ICT services and cloud services continue to grow rapidly with increasing functionality and more users. As a result of this growth, it is a critical issue to select a suitable cloud service which meets all the business strategies and the objectives of firms. This paper proposes a hybrid multi-criteria decision-making model for a cloud service selection problem using balanced scorecard (BSC), fuzzy Delphi method (FDM) and fuzzy analytical hierarchy process (FAHP). We focus on selecting an IaaS among cloud services for firms' users. The BSC concept is applied to define the hierarchy with four major perspectives (i.e. financial, customer, internal business process, and learning and growth), and to derive decision-making criteria and decision-making factors are selected for each BSC perspective. FDM is used to select the list of important decisionmaking factors within each BSC perspective based on the decision makers' opinion. A FAHP approach is then proposed in order to compares the decision-making criteria and factors and determine the importance of them. It is also used to select the best cloud service among the cloud service alternatives based on the predetermined weights of decisionmaking criteria and factors. In this study, the BSC and FAHP as the hybrid multi-criteria decision-making technique are used to select the best cloud service. Our findings can be utilized as bases to apply systematic decision-making processes for the best cloud service selection and for providing guidance to IT department managers or CTO regarding performance evaluation and strategies to improve companies' performance and capability.

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Formulating Cost-Effective Monitoring Strategies for Service-Based Systems

Cited by 29 publications

References 53 publications

Cloud Computing: Things to consider by Information Professionals (IP)

Cloud Computing: Things to consider by Information Professionals (IP)

Localizing Runtime Anomalies in Service-Oriented Systems

A Hybrid Multi-Criteria Decision-Making Model for a Cloud Service Selection Problem Using BSC, Fuzzy Delphi Method and Fuzzy AHP

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