Predicting Quality of Service via Leveraging Location Information
نویسندگان
چکیده
منابع مشابه
Location-Aware Quality of Service Measurements for Service-Level Agreements
We add specifications of location-aware measurements to performance models in a compositional fashion, promoting precision in performance measurement design. Using immediate actions to send control signals between measurement components we are able to obtain more accurate measurements from our stochastic models without disturbing their structure. A software tool processes both the model and the...
متن کاملLeveraging Digital Technologies: How Information Quality Leads to Localized Capabilities and Customer Service Performance
The Indian banking sector has undergone rapid transformation since 1991—the year India started a series of economic reforms. As part of the reforms, along with public sector banks, private sector banks started operations in the country. Due to the rapid reforms of the banking sector and the increased competition, Indian banks are now featured prominently on the global stage. Estimates indicate ...
متن کاملOrganizational impact of system quality, information quality, and service quality
0963-8687/$ see front matter 2010 Elsevier B.V doi:10.1016/j.jsis.2010.05.001 * Corresponding author. Tel.: +971 6 5152306. E-mail addresses: [email protected] (N. Gorla), ton Increased organizational dependence on information systems drivesmanagement attention towards improving information systems’ quality. A recent survey shows that ‘‘Improve IT quality” is one of the top concerns facing IT exec...
متن کاملInformation Brokerage Via Location-Free Double Rulings
The in-network aggregation and processing of information is what sets a sensor network apart from a pure data acquisition device. One way to model the exchange of information between the network nodes is to distinguish between nodes that are producers of information, i.e., those that have collected data, detected events, etc., and nodes that are consumers of information, i.e., nodes that seek d...
متن کاملPredicting Quality Attributes via Machine-Learning Algorithms
Software metrics provide quantitative means to control the software development and the quality of software products. Getting a set of valid and useful metrics is not only a matter of definition; the entire process includes, among other steps, theoretical and empirical validation of theses metrics to assure their utility. This work is about empirical validation of object-oriented metrics via ma...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Complexity
سال: 2019
ISSN: 1076-2787,1099-0526
DOI: 10.1155/2019/4932030