The proliferation of connected sensing devices (or Internet of Things) can in theory enable a range of \u201csmart\u201d applications that make rich inferences about users and their environment. But in practice, developing such applications today is arduous because they are constructed as monolithic silos, tightly coupled to sensing devices, and must implement all data sensing and inference logic, even as devices move or are temporarily disconnected. We present Beam, a framework and runtime for distributed inference-driven applications that breaks down application silos by decoupling their inference logic from other functionality. It simplifies applications by letting them specify \u201cwhat should be sensed or inferred,\u201d without worrying about \u201chow it is sensed or inferred.\u201d We discuss the challenges and opportunities in building such an inference framework.<\/p>\n","protected":false},"excerpt":{"rendered":"
The proliferation of connected sensing devices (or Internet of Things) can in theory enable a range of \u201csmart\u201d applications that make rich inferences about users and their environment. But in practice, developing such applications today is arduous because they are constructed as monolithic silos, tightly coupled to sensing devices, and must implement all data sensing […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13547],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-215129","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2015-10-1","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"459096","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2015\/10\/Beam_Login_Oct_2015-1.pdf","id":"459096","title":"beam_login_oct_2015-1","label_id":"243109","label":0}],"msr_related_uploader":"","msr_attachments":[],"msr-author-ordering":[{"type":"text","value":"Rayman Preet Singh","user_id":0,"rest_url":false},{"type":"text","value":"Chenguang Shen","user_id":0,"rest_url":false},{"type":"user_nicename","value":"Amar Phanishayee","user_id":30975,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Amar Phanishayee"},{"type":"user_nicename","value":"Aman Kansal","user_id":32485,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Aman Kansal"},{"type":"user_nicename","value":"Ratul Mahajan","user_id":33351,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Ratul Mahajan"}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[],"msr_group":[144899,144927],"msr_project":[171457,170564],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":171457,"post_title":"Bam!","post_name":"bam","post_type":"msr-project","post_date":"2015-04-21 14:44:33","post_modified":"2017-06-01 18:31:54","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/bam\/","post_excerpt":"The proliferation of connected devices can in theory enable a range of applications that make rich inferences about users and their environment. But in practice developing such applications today is arduous because they are constructed as monolithic silos, tightly coupled to sensing devices, and must implement all sensing & inference logic, even as devices move or are temporarily disconnected. Our goal is to break down restrictive device-application silos and simplify app development. Bam achieve this…","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171457"}]}},{"ID":170564,"post_title":"HomeOS: Enabling smarter homes for everyone","post_name":"homeos-enabling-smarter-homes-for-everyone","post_type":"msr-project","post_date":"2010-09-30 22:19:38","post_modified":"2024-10-02 16:39:34","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/homeos-enabling-smarter-homes-for-everyone\/","post_excerpt":"It is no secret that homes are ever-increasing hotbeds of new technology such as set-top boxes, game consoles, wireless routers, home automation devices, tablets, smart phones, and security cameras. This innovation is breeding heterogeneity and complexity that frustrates even technically-savvy users\u2019 attempts to improve day-to-day life by implementing functionality that uses these devices in combination. 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