according to a QoS specification. • Similar to congestion control or video streaming in a lower quality. 4 ??? Vasiliki Kalavri | Boston University 2020 https://commons.wikimedia.org/wiki/File:Adap overload and decides what actions to take in order to maintain acceptable latency and minimize result quality degradation. 7 ??? Vasiliki Kalavri | Boston University 2020 DSMS with load shedder 8 Synopsis Which tuples to drop? • improve latency to an acceptable level • cause only minimal results quality degradation 9 ??? Vasiliki Kalavri | Boston University 2020 Detecting overload • When to shed

问题：)1rg1-On-,1adL终读取RM为空集，实际I该返E I(1,2 。 IN-E,T DE(ETE data 2il11 data 2il11 1quality d1l1t1 2il11 data 2il11 1quality d1l1t1 2il11 E案DMixe5 pos-5elete 3;5 equ3lity-5elete , (1,2 ,N1E02(1,2 (1,3

▶ 2. Specify triggers to control when to update the results. • Each time a trigger fires, Spark checks for new data (new row in the input table), and incrementally updates the result. 57 / 79 Programming ▶ 2. Specify triggers to control when to update the results. • Each time a trigger fires, Spark checks for new data (new row in the input table), and incrementally updates the result. 57 / 79 Programming ▶ 2. Specify triggers to control when to update the results. • Each time a trigger fires, Spark checks for new data (new row in the input table), and incrementally updates the result. 57 / 79 Programming

could refer to Build PyFlink. Check the installed package You could then perform the following checks to make sure that the installed PyFlink package is ready for use: curl -L https://raw.githubusercontent # +I[to, 1] # +I[be,--that, 1] # ... If there are any problems, you could perform the following checks. Check the logging messages in the log file to see if there are any problems: # Get the installation

could refer to Build PyFlink. Check the installed package You could then perform the following checks to make sure that the installed PyFlink package is ready for use: curl -L https://raw.githubusercontent # +I[to, 1] # +I[be,--that, 1] # ... If there are any problems, you could perform the following checks. Check the logging messages in the log file to see if there are any problems: # Get the installation

the sequence P extended by item i. Insert-Unique (distinct): The reconstitution function ins_u checks for duplicates: • ins_u([]) = Ø • ins_u(P:i) = if i ∉ ins_u(P) then insert(i, ins_u(P)) else ins_u(P)

the item to the least loaded of those two • the system uses two hash functions, H1 and H2 and checks the load of the two sampled workers: P(k) = arg mini(Li(t): H1(k)=i ∨ H2(k)=i) • provably reduces